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Arhiv za tehničke nauke / Archives for Technical Sciences N0 36

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Authors in this issue:

Twinkle, Ambika, A Vaideghy, A. Aarthi, A. Sathish, ADITYA YADAV, Agustinus Pindoan Panjaitan, Ahmad Zahran Md Khudzari, Ahmed Sabeeh Yousif, Ahmed Yahya Abd Abbas, Akbar Nurmatov, Alaa Mohsin Dawood, Ali A. Al-Robay, Ali Muhanad Hamid, Annie Sam, Aqeel Tahseen Fathalla, Arasuraja Ganesan, Archana Lopes, Asfad Murtada Said, Ashwaq Fadhel Muhkaber Alomari, Aynura Bekjanova, B. Ammanni, B. Tamil Selvan, Bahodir Kandov, Balaji Periasamy, Bambang Hermanto, Basim Almayyahi, Basim A. Almayahi, Be Thi Thanh Loan, Begali Rayimov, Bhuvaneswari Gowthaman, C. Sreekar Kashyap, C.S. Asha, Chandra Prakash Vudatha, D Saraswathi, D. Mahila Vasanthi Thangam, D. Sridevi, Dadang M. Ma'soem, Dao Tuan Minh, Dedi Apriadi, Deepti Patil, Deivanai Gurusamy, Diksha Halder, Dildor Eshmuratova, Dilnoza Abdullayeva, Dilshoda Mubarakova, Do Ba Hieu, Do Thi Van Dung, Eko Sunarno, Feruza Erkulova, Fotima Gazieva, Furqan Wahhab Abdulsada, G. Kalpana, G. Nirmala, Gavhar Mengliyeva, Gouthami Eragamreddy, Gulchehra Shadimetova, Gulnoza Oybekova, Gulxayo Ravshanova, H Niroshini Infantia, Hadeel Mohamed Farook Alhialy, Haider TH. Salim Alrikabi, Hameeda Khatoon, Haritha Inapagolla, Hawraa Khalid Hannon, Helen M. Abdul Hussein, Hiba Salih Meften, Hien Nguyen Thi Bao, Hoa Pham Thi Thanh, Hoang Thi Kim Ung, Huong Tra Pham, Hussein Jassim Abdulsameea, Hussein Talib Alhamada, I. Gede Fery Surya Tapa, I. Ketut Parti, I. Ketut Sutapa, I. Wayan Intara, I. Wayan Sujahtra, Indrajit Pal, Inoyat Tuychieva, Iqbolkhon Abdurakhmanova, J. Anand, J. Jacquline Martina, J. Justina Michael, J. Narendra Babu, J. Sathish Kumar, J. Sudarvel, Jaishu Antony, K. Latha, K. Nazni, K. Nivethaa, K. Santhi, K. Saravanan, K. Subathra, K.G. Mohan, K.R. Sowmya, K.T. Vijay Karthigeyan, K.V. Nidhi Varghese, Kabas Zuhir Alhasani, Kamola Sadirova, Katragadda Swarnasri, Khadicha Fayziyeva, Khurshid Makhammadiyev, Kiruthiga Balasubramanian, Kolla Bhanu Prakash, Kummara Sruthi, L. Chandni, L. Lakshmaiah, L. S Sindhuja, Lakshmi Narasimha Prasad Nagaragere, Laylo Juraeva, Le Luu Ly, Le Quoc Hoi, Leksmono Suryo Putranto, Logeshwari Radhakrishnan, M. Amaravathi, M. Arunsankar, M. Karthikeyan, M. Mahalakshmi, M. Rajasekhara Babu, M. Vijayakumar, M. J. Sumaiah Shaheen, M.N. Divya, Madhan Shanmugasundaram, Maftuna Rakhmatova, Mahfuza Sangirova, Mahmoud Abouagwa, Mai Quynh Pham, Majid Ahmed AL Anssari, Majo George, Malika Talipova, Malika Umedzhanova, Mamuraxon Umaralieva, Manikandan Parasuraman, Marietta Karamyan, Marina Markendudi, Mayyadah L Abdulwahhab, Mehriniso Abuzalova, Melak Haider Almosawy, Midhunchakkaravarthy Janarthanan, Minh Hieu Nguyen, Minh Tien Cao, Mithilesh Kumar Jha, Mohamed Muyaser Naif, Mohand Lokman Ahmad, Muborak Akhmedova, Muhammad Amir As’ari, Mundher Abbas Shaalan, Munisa Sanayeva, Muxayyo Karimova, Muzayyamkhon Zokirkhonova, N. Arunfred, N. Mallikharjuna Rao, N. Priyanka, Nageswara Rao Pulivarthi, Nargiza Burieva, Nargiza Sharifkhodjaeva, Nargizakhon Niyazakhunova, Nasiba Salikhova, Ngo Thuy Trang, Ngoc Quynh Giao Pham, Nguyen Anh Nguyet, Nguyen Thi Mo, Nigora Turaeva, Nilufar Karimova, Nilufar Khodjaeva, Nilufar Rakhmonova, Nodir Yadgarov, Nodira Kodirova, Nodira Makhkamova, Noor A. M. Aalhashem, Noor Hashim Abd Almunaf, Olmosbek Eshmuradov, Osamah Kareem Rasheed, Oygul Teshabayeva, P. Arun Gopalan, P. Bharath Kumar Chowdary, P. Deepalakshmi, P. Manikandan, P. Rajalakshmy, P. Renukadevi, P. Saravanan, P. Vasuki, P. Vineeth Krishna, P. Infant Raina, P.L. Joseph Raj, Pavithra Srinivas, Prasun Chakrabarti, Priya Sethuraman, Putu Hermawati, R. Ashok Bakkiyaraj, R. Deepalakshmi, R. Elavarasan, R. Madhanraj, R. Radhika, R. Raja, R. Sangeetha, R. Santhiya, R. Sheeja, R. Sugumar, R. Thiyagarajan, R. Udayakumar, R. Velmurugan, R.S. Lekshmi, Rachman Setiawan, Rana Riyadh Saeed, Ranu Fauzan, Ranya Riyadh Radhi, Rasulbek Ergashev, Ratnakala Patil, Raya Qahtan Ahmed, Razan Abdulhammed, Reem Abdalla, Ruben Anto Michael, Ruya Abdulhadi Mohammed Saeed Al-Rawi, S Nazim Sha, S. Annamalai, S. Benneet, S. Edmund Christopher, S. Prabakar, S. Ramya, S. Saranya, S. Senthil Kumar, S.G. Yogesh, S.N. Rekha, Sabitha Jannet, Sachin Kumar, Sachinkumar Veerashetty, Safaa M. Almudhafar, Salam Al-augby, Saleh Issa Khassaf, Salim Doniyorov, Sang Ha Van, Sanobar Shadmanova, Saodat Julmatova, Saravanan Devadoss, Sarvinoz Otamuratova, Shaima Miqdad Mohamed Najeeb, Shavkat Sharipov, Shohida Jumayeva, Shoira Urakova, Sirojjon Berdikulov, Smitha Elsa Peter, Sneha Kumarajothi, Sreerama Murty Maturi, Srinivasa Rao Sureddy, Sriramakavacham Ramacharan, Sura A. Saadoon, Thi Minh Dieu Nguyen, Tisha Tomy, Tran Do Bao Chau, Tran Thi Lan, Tran Thi Phuong Lien, Tran Van Hai, Truong Thị Duc Giang, Umurzak Jumanazarov, Uyen Dinh Trinh, V Sridevi, V. Aruna, V. John Peter, V. Manikandan, V. Santhosh Kumar, V. Sheela Mary, V. Suganya, V. Sunder, V. M. Ponniah, V.M. Shenbagaraman, V.R. Vimal, Veera Shireesha Sangu, Viet Ninh Vu, Vijayakanthan Selvaraj, Vivekananda Potti, Vu Thuy Linh, Vu Tri Duc, Yu-Chen Hu, Yunchen Liu, Yuyang Wang, Zaheda Daruwala, Zahraa Yahya Mahdi Al-Mayali, Zebo Botirova, Ziyoda Sagatova, Zulfiya Mamarajabova,

Published: September 2026

Contents

September 2026 Original scientific article
ENHANCING SPATIAL-TEMPORAL FEATURE FUSION WITH CONVOLUTIONAL GRUS FOR BREAST TUMOR CLASSIFICATION

Even today, one of the main reasons for mortality among females is breast cancer, whose effective treatment needs earlier detection. In this work, a new methodology based on spatial-temporal Deep Learning for detecting and classifying breast tumors through the use of Convolutional Neural Networks (CNN) and Convolutional Gated Recurrent Unit (ConvGR...

By A. AARTHI, SMITHA ELSA PETER

September 2026 Original scientific article
INFLUENCING FACTORS ON MIGRATION: EVIDENCE AND POLICY IMPLICATIONS FOR AN EMERGING COUNTRY

International migration from developing economies is increasingly driven by the interplay between economic incentives, social networks, and the institutional environment. The understanding of these drivers is central to policy design aimed at maximizing the benefits of labor mobility, minimizing human capital loss, and capturing positive impacts of...

By DAO TUAN MINH

September 2026 Review paper
EXPLORING DRIVERS OF AI ADOPTION IN PERFORMANCE MANAGEMENT SYSTEM: A COMPREHENSIVE REVIEW

The rise of AI technology has greatly transformed the traditional PMS and improved its effectiveness and reliance on data in HRM. This study mainly aims to identify the essential variables determining the implementation of AI in PMS, including the benefits, ethics, challenges, and impacts. The descriptive research methodology was used by means of a...

By K. NIVETHAA, ANNIE SAM

September 2026 Original scientific article
HOUSEHOLD E-WASTE MANAGEMENT AND CIRCULAR ECONOMY PATHWAYS IN KERALA WITH FOCUS ON POLICY AWARENESS AND DISPOSAL BEHAVIOUR

Electronic waste (e-waste) is posing an increasing challenge to environmental sustainability and human health in India, especially among the digitalizing states such as Kerala. This study examines the household electronic waste generation, disposal, concerns, policy awareness, and opportunities of circular economy through surveying 150 households i...

By K.V. NIDHI VARGHESE, D. MAHILA VASANTHI THANGAM

September 2026 Original scientific article
QUANTUM-ENHANCED DEEP LEARNING MODEL FOR CROP–WEED CLASSIFICATION IN SORGHUM IMAGERY USING THE SORGHUM CROP WEED DATASET CLASSIFICATION

Classification of crops and weeds is an important aspect in precision agriculture, as it aids in providing a means for efficient weed control and reduced herbicide applications to achieve high crop productivity. In this paper, a quantum-classical hybrid deep learning approach is presented for accurate identification of crops and weeds from sorghum ...

By J. JUSTINA MICHAEL, LOGESHWARI RADHAKRISHNAN, R. RADHIKA, P.L. JOSEPH RAJ, M. MAHALAKSHMI

September 2026 Original scientific article
A UNIFIED HIERARCHICAL TEMPORAL–GRAPH PHYSICS-GUIDED FUSION NETWORK FOR JOINT FAULT PREDICTION AND CYBER–PHYSICAL INTRUSION DETECTION IN ROBOTIC ARMS

The robotic arms deployed in contemporary Industry 4.0 systems are becoming more and more dependent on interconnected sensors, controllers, and information-driven smartness to accomplish more intricate manufacturing activities. Although predictive techniques of maintenance have enhanced the ability to detect mechanical failures, the systems are sus...

By BALAJI PERIASAMY, P. RAJALAKSHMY, R. MADHANRAJ

September 2026 Review paper
A STUDY ON NEUROPEDAGOGICAL FOUNDATIONS AND DIDACTIC APPROACHES FOR DEVELOPING EMOTIONAL COMPETENCE IN PRE-SERVICE TEACHERS

The growing awareness of emotional competence as a key professional skill for effective teaching stands in stark contrast to the prevailing priorities of cognitive and disciplinary knowledge acquisition in early teacher training programs. The paper explores the neuropedagogical dimensions of emotional competence and outlines didactic practices comp...

By DILSHODA MUBARAKOVA, DILDOR ESHMURATOVA, SANOBAR SHADMANOVA, NILUFAR KHODJAEVA, ZULFIYA MAMARAJABOVA, BAHODIR KANDOV, AYNURA BEKJANOVA

September 2026 Original scientific article
A NOVEL DEEP CONVOLUTIONAL RECURRENT STATE SPACE MODEL FOR ROBUST ADVERSE DRUG REACTION IDENTIFICATION USING DT FEATURE SELECTION AND BOW ENCODING

Social Media Detection of Adverse Drug Reactions (ADRs) has evolved as an important technique for today's pharmacovigilance. Real-time detection through social media platforms such as Twitter has been proven effective but has been hindered by issues related to linguistic noise, syntactic variations, and imbalanced data. In this paper, a new Deep Co...

By R. DEEPALAKSHMI, MANIKANDAN PARASURAMAN, V. MANIKANDAN

September 2026 Original scientific article
THE ROLE OF RISK PERCEPTION IN MEDIATING THE RELATIONSHIP BETWEEN DEMOGRAPHIC CHARACTERISTICS AND DRIVING BEHAVIOR IN INDONESIA

This paper explores the mediation effect of risk perception between demographic characteristics and motorized vehicle users' driving behavior in Indonesia. Driving behavior was evaluated on three categories: violation, error and lapse. A Partial Least Squares Structural Equation Modeling (PLS-SEM) was used for data analysis, which was carried out o...

By BAMBANG HERMANTO, LEKSMONO SURYO PUTRANTO, DADANG M. MA'SOEM

September 2026 Original scientific article
AN INVESTIGATION INTO METACOGNITIVE AND MOTIVATIONAL DETERMINANTS OF SELF-REGULATED LEARNING AMONG UNIVERSITY STUDENTS

Self-regulated learning is one of the most important constructs within the field of higher education that refers to the processes of planning, monitoring and evaluation of one's academic behavior under limited guidance from external sources. Even though there is an extensive amount of research dedicated to the topic, the contributions of the metaco...

By MALIKA TALIPOVA, MARIETTA KARAMYAN, SHOIRA URAKOVA, SIROJJON BERDIKULOV, INOYAT TUYCHIEVA, NODIRA KODIROVA, OYGUL TESHABAYEVA, NARGIZA BURIEVA

September 2026 Original scientific article
AGENT-BASED SPRINT MITIGATION FOR RISK-RESILIENT SCRUM EXECUTION: A CONTROLLED SIMULATION STUDY

The Scrum framework is one of the most popular Agile software development frameworks, due to its versatility, iterative development process, and focus on delivering value in small increments. However, sprint overruns continue to be a significant operational challenge and are usually caused by changes in requirements, misjudging the effort, blocker ...

By V. SUNDER, P. DEEPALAKSHMI

September 2026 Original scientific article
GIS BASED URBAN LAND USE MAPPING AND PLANNING ASSESSMENT IN THE KINDA DISTRICT OF KUFA CITY

Urban land use maps give necessary information about the location and availability of different uses of lands in cities. Conventional mapping techniques take much time and money but with GIS techniques this process becomes quick and easier. This study examines the land uses of the Kinda district in Kufa city, Iraq, using GIS mapping techniques. The...

By AHMED YAHYA ABD ABBAS, SAFAA M. ALMUDHAFAR, BASIM ALMAYYAHI

September 2026 Original scientific article
A MACHINE LEARNING FRAMEWORK FOR EVALUATING CONSUMER PERCEPTIONS OF AI-GENERATED INFLUENCERS COMPARED TO HUMAN INFLUENCERS IN BRAND PROMOTION

The growing popularity of AI-generated virtual influencers on platforms like Instagram, TikTok, and YouTube has brought about changes in digital marketing through scalable and controllable promotion strategies for brands. Unfortunately, there is still a lack of quantitative models to help compare and measure consumer perceptions about AI-generated ...

By P. SARAVANAN, V.M. SHENBAGARAMAN, SARAVANAN DEVADOSS, N. ARUNFRED

September 2026 Original scientific article
TECHNO-ECONOMIC ANALYSIS OF AN INTEGRATED SUGARCANE PROCESSING COMPLEX IN INDIA

This study focuses on a systematic techno-economic feasibility analysis of an integrated sugarcane processing complex in India. The comprehensive process modelling was performed using SuperPro Designer. The economic viability of an integrated sugarcane processing complex was assessed with significant economic parameters and other financial indices....

By ADITYA YADAV, MITHILESH KUMAR JHA, SACHIN KUMAR

September 2026 Original scientific article
EFFECT OF SAND SHELL IMPROVEMENT USING POLYPROPYLENE FIBER AND CEMENT ON THE SEISMIC RESPONSE OF SMALL-SCALE ZONED EARTH DAM MODELS

The application of sand as shell materials in zoned earth dams is common due to its availability and economic factors. Nevertheless, it is necessary to analyze the performance of such materials under the simultaneous effect of seepage and earthquake loads, especially when the core of the structure is formed from low permeable materials. The present...

By HUSSEIN JASSIM ABDULSAMEEA, SALEH ISSA KHASSAF

September 2026 Original scientific article
MULTIMODAL MRI ANALYSIS FOR EARLY-STAGE ALZHEIMER’S DETECTION USING ATTENTION MECHANISMS

Alzheimer’s disease (AD) is a progressive neurodegenerative disease with an increasingly common prevalence all around the world, necessitating the development of an early, accurate, and minimally invasive diagnosis method for such a devastating condition. However, traditional diagnostic methods such as neuropsychological testing and PET scans...

By RATNAKALA PATIL, SACHINKUMAR VEERASHETTY

September 2026 Original scientific article
ASSESSING LEARNING-BASED MODELS FOR INTRUSION DETECTION IN UAV NETWORKS

Unmanned Aerial Vehicle (UAV) networks are being used in various military, civilian and infrastructure-monitoring fields, making them vulnerable to an increasing number of cyber threats. To achieve strong security in these resource-limited, dynamic environments, lightweight and accurate intrusion detection systems (IDS) are necessary. In this paper...

By RAZAN ABDULHAMMED, MOHAND LOKMAN AHMAD, SHAIMA MIQDAD MOHAMED NAJEEB, HAIDER TH. SALIM ALRIKABI

September 2026 Original scientific article
HYPERPARAMETER OPTIMIZATION OF DEEP NEURAL NETWORKS FOR ADAPTIVE MODULATION AND CODING IN HIGH-SPEED MILLIMETER-WAVE COMMUNICATION SYSTEMS

Adaptive Modulation and Coding (AMC) is a key principle that increases spectral efficiency, reliability, and capacity in high-data-rate mmWave wireless communication systems. But AMC strategies depend upon static threshold-based rules that generally struggle to perform well in varying channel conditions. In this study, an innovative HO-DNN architec...

By M.N. DIVYA, S.N. REKHA, C.S. ASHA, S. RAMYA, L. LAKSHMAIAH, J. NARENDRA BABU, A. SATHISH

September 2026 Original scientific article
ARTIFICIAL INTELLIGENCE IN AUDITING: EVALUATING THE IMPACT OF GENERATIVE AND PREDICTIVE MODELS ON AUDIT QUALITY AND EFFICIENCY

Artificial intelligence (AI) is significantly contributing to beneficial transformations in auditing by enhancing analytical capabilities, automating monotonous tasks, and refining decision-making processes. This piece of research looks into the effects of predictive and generative AI on the quality of auditing as well as its efficiency. Moreover, ...

By S. EDMUND CHRISTOPHER, JAISHU ANTONY, ZAHEDA DARUWALA, MAHMOUD ABOUAGWA

September 2026 Original scientific article
ASSESSING THE ROLE OF ETHNOPSYCHOLOGICAL DIMENSIONS IN WORK–FAMILY BALANCE AMONG TECHNICAL ORGANIZATION

The balance between occupational pressures and family obligations continues to be a consistent issue in technical organizations because of their highly scheduled structure, shifts in production systems, and command organization culture combined with deep-rooted cultural traditions. This research focuses on the effect of ethnopsychological character...

By OLMOSBEK ESHMURADOV, SALIM DONIYOROV, SHOHIDA JUMAYEVA, NIGORA TURAEVA, MUXAYYO KARIMOVA, KAMOLA SADIROVA, GAVHAR MENGLIYEVA

September 2026 Original scientific article
NEURO EMOTIONAL INTELLIGENCE AS A FRAMEWORK FOR UNDERSTANDING LEADERSHIP PERFORMANCE IN STRESSFUL WORKPLACES

Organizational leaders increasingly need to be able to remain effective at making decisions, controlling their emotions, and being productive with other people, even in times of increased scrutiny. While emotional intelligence has been studied extensively, there has been very little empirical research on how the integration of neuro-emotional capab...

By MAJO GEORGE, R.S. LEKSHMI, V. SHEELA MARY, G. NIRMALA, M. AMARAVATHI

September 2026 Original scientific article
EMPLOYING AI TECHNOLOGIES IN PUBLIC RELATIONS: A COMPARATIVE STUDY OF THE PERSUASIVE IMPACT OF HUMAN PRACTITIONERS AND CHATBOTS ON THE AUDIENCE

Artificial intelligence chatbots have become more popular for PR communication purposes, but there is not much data available about their persuasive abilities relative to human PR communication professionals in various forms of communication. A descriptive comparative research methodology was used in this study in order to measure the perceptions o...

By ALI MUHANAD HAMID, AQEEL TAHSEEN FATHALLA, OSAMAH KAREEM RASHEED, RAYA QAHTAN AHMED

September 2026 Original scientific article
DETERMINANTS OF JOB SATISFACTION AMONG PRIVATE BANKING EMPLOYEES IN MADURAI

Employee job satisfaction is a significant factor impacting job performance, organizational commitment, employee retention and service quality among banking sector. Private bankers may also have to work under performance pressures, increasing customer expectations, technology advancements, work load and work-life balance, all of which have negative...

By J. SUDARVEL, P. ARUN GOPALAN, R. VELMURUGAN

September 2026 Original scientific article
SCALABLE RESOURCE SCHEDULING FOR VIRTUAL POWER PLANTS USING MULTI-AGENT DEEP Q-NETWORKS FOR OPTIMIZED DISTRIBUTED ENERGY RESOURCE MANAGEMENT

The increasing integration of Distributed Energy Resources (DERs) within modern power systems requires Virtual Power Plants (VPPs) to adopt intelligent, adaptive, and scalable scheduling mechanisms to ensure efficient, reliable, and economically optimal operation. This research proposes a hybrid reinforcement learning–based framework that com...

By SRINIVASA RAO SUREDDY, NAGESWARA RAO PULIVARTHI

September 2026 Review paper
A STUDY ON THE SALUTOGENIC APPROACH TO YOUTH ANTI-DRUG PREVENTION FOCUSING ON PSYCHOLOGICAL HEALTH AND PERSONAL RISK FACTORS

The issue of youth substance abuse persists as one of public health concern, and the current strategies targeting adolescents through messages related to danger and deficit frames have proven inconsistent in terms of effectiveness in the long term. This paper explores the theory of salutogenesis, which derives its origins from the model of health b...

By SAODAT JULMATOVA, MARINA MARKENDUDI, MALIKA UMEDZHANOVA, MUBORAK AKHMEDOVA, DILNOZA ABDULLAYEVA, NARGIZA SHARIFKHODJAEVA, NASIBA SALIKHOVA, KHURSHID MAKHAMMADIYEV

September 2026 Original scientific article
INTEGRATING LEAN THINKING AND GREEN MANUFACTURING FOR SUSTAINABLE ENVIRONMENTAL PERFORMANCE IMPROVEMENT

The issue of environmental sustainability is now a challenge for manufacturers in developing economies, in which the use of resources is high and the use of cleaner technologies is not widespread. Little evidence of how lean thinking translates into environmental outcomes in the context of green manufacturing is found, especially in the Iraqi indus...

By ASFAD MURTADA SAID, MUNDHER ABBAS SHAALAN, KABAS ZUHIR ALHASANI

September 2026 Original scientific article
A GARCH MODEL ANALYSIS OF MACROECONOMIC VOLATILITY AND STOCK MARKET PERFORMANCE IN ASIAN COUNTRIES

Volatility is one of the most important factors in investment decision-making and financial risk management, and the role of volatility modelling in comprehending market dynamics is crucial. In this study, the volatility behaviour of six major stock markets in Asia—India, China, Japan, South Korea, Singapore and Hong Kong—has been explo...

By B. TAMIL SELVAN, K.T. VIJAY KARTHIGEYAN, DIKSHA HALDER, J. ANAND, K. SANTHI, D. SRIDEVI

September 2026 Original scientific article
EXAMINING THE RELATIONSHIP BETWEEN ARTIFICIAL INTELLIGENCE AND EMPLOYEE WELL BEING IN CUSTOMER CENTRIC ORGANIZATIONS

AI is rapidly redefining how customer-oriented companies conduct their businesses through process automation, decision-making, and improved customer service. However, the influence of AI is lacking regarding employee well-being. This paper is focused on researching the connection between AI adoption and employee well-being by assessing the effects ...

By K.R. SOWMYA, BHUVANESWARI GOWTHAMAN, R. SANTHIYA, J. SATHISH KUMAR, R. ELAVARASAN

September 2026 Original scientific article
ROLE OF SOCIAL MEDIA ENGAGEMENT METRICS IN SHAPING CUSTOMER PERCEIVED VALUE AND REVISIT INTENTION IN BUDGET HOTEL SEGMENTS

Background: The social media engagement has become a crucial ingredient of customer perception in the hospitality industry, especially in budget segments where online reviews make a lot of difference in their decision-making. By understanding the impact of engagement metrics on perceived value and revisit intention, hotel managers can gain insights...

By J. JACQULINE MARTINA, S. SENTHIL KUMAR, K. NAZNI, K. SUBATHRA

September 2026 Original scientific article
THE MEDIATING ROLE OF OCCUPATIONAL SAFETY MANAGEMENT SYSTEMS IN THE RELATIONSHIP BETWEEN ERGONOMIC DESIGN AND WORKPLACE ACCIDENTS: EVIDENCE FROM THE CONSTRUCTION INDUSTRY

It is well-known that the construction industry ranks among those industries in which there are many cases of injury and workplace accidents for workers despite the advances in the development of various safety regulations and management practices. This paper aims at examining the role of OHSMS in mediating the relationship between ergonomic design...

By I. KETUT SUTAPA, I. GEDE FERY SURYA TAPA, I. WAYAN SUJAHTRA, PUTU HERMAWATI, I. KETUT PARTI, I. WAYAN INTARA

September 2026 Original scientific article
EFFICIENTNET-B0-BASED FRAMEWORK FOR AUTOMATED MULBERRY ROOT KNOT DISEASE CLASSIFICATION Based ON LEAF SYMPTOMS USING GRAD-CAM VISUALIZATION

The study is based on the idea of an innovative method of automated classification of mulberry root Knot diseases on the basis of the leaf symptoms through the EfficientMulberryNet-B0-GC model, which is a combination of EfficientNet-B0 and Grad-Cam visualization. The model aims to complement the lack of efficient and transparent disease detection i...

By N. PRIYANKA, K.G. MOHAN

September 2026 Original scientific article
A BIOMEDICAL ASSESSMENT FRAMEWORK FOR EVALUATING ADAPTIVE PERSONALITY POTENTIAL AS AN INDICATOR OF ADDICTION REHABILITATION OUTCOMES

It is still very hard to predict addiction rehabilitation outcomes at the time of admission since current methods of evaluation do not recognize the interconnection between an individual's biomedical state and personality functioning. In this paper, Introduce Biomedical Assessment Framework for Evaluating Adaptive Personality Potential (BAF-APP), w...

By NODIRA MAKHKAMOVA, LAYLO JURAEVA, UMURZAK JUMANAZAROV, MAMURAXON UMARALIEVA, MAHFUZA SANGIROVA, NILUFAR KARIMOVA, FOTIMA GAZIEVA

September 2026 Original scientific article
EVALUATION RATIO OF SHEET PILE LENGTH AND DISTANCE EFFECTS SEEPAGE BENEATH CONCRETE DAMS USING SOFTWARE

Seepage through concrete dams plays an important role in the stability of the foundations due to the fact that high uplift pressures and exit gradients can cause piping, erosion, and ultimately the collapse of the structure. This research focuses on the effect of the position and the depth of the sheet piles on seepage in concrete dams employing a ...

By ALAA MOHSIN DAWOOD, NOOR HASHIM ABD ALMUNAF, HAWRAA KHALID HANNON, FURQAN WAHHAB ABDULSADA, MELAK HAIDER ALMOSAWY

September 2026 Original scientific article
INTELLIGENT CUSTOMER SEGMENTATION FOR PRECISION MARKETING USING ARTIFICIAL INTELLIGENCE

As digital marketing platforms evolve, there is an increasing need for intelligent customer segmentation methods to comprehend complex customer behaviors and enable personalized marketing strategies. The conventional approaches to customer segmentation are mainly based on demographics and transactions of customers, which limit the effectiveness of ...

By VIJAYAKANTHAN SELVARAJ, ARASURAJA GANESAN, V. ARUNA, M. VIJAYAKUMAR

September 2026 Original scientific article
ASSESSING THE IMPACT OF EQUITY CAPITAL ON THE PROFITABILITY OF JOINT-STOCK COMMERCIAL BANKS IN VIETNAM

This paper evaluates the influence of equity capital structure on the performance of the Vietnamese joint-stock commercial banks. The empirical study is based on the dataset comprising 30 commercial banks observed over the period 2015–2024, resulting in a total of 300 observations. To confirm statistical validity and the robustness of the emp...

By VU THUY LINH, TRAN THI PHUONG LIEN, HOANG THI KIM UNG, DO THI VAN DUNG

September 2026 Original scientific article
SECNET ARCHITECTURE FOR AI-DRIVEN ACCESS CONTROL AND REAL-TIME THREAT DETECTION IN BLOCKCHAIN SYSTEMS

Storage systems must be verifiably secure, and access control must be fine grained and transparent, and must provide audit trails for modern cyber-physical and cloud ecosystems. While blockchain ensures immutability and traceability of data, it does not have the ability to make real-time authorization  decisions, identify abnormal behavior, or...

By KUMMARA SRUTHI, N. MALLIKHARJUNA RAO

September 2026 Original scientific article
AN ADAPTIVE BUTTERFLY OPTIMIZATION-DRIVEN EXPLAINABLE CNN–TRANSFORMER FRAMEWORK FOR ACCURATE AND TRUSTWORTHY CLINICAL DIAGNOSIS

Clinically-oriented AI-based diagnostic systems have exhibited impressive predictive accuracies; however, their poor interpretability capabilities and incapability to optimize their learning parameters in  eal-time pose a major challenge towards implementing such solutions in the actual healthcare settings. To overcome such limitations, in thi...

By A VAIDEGHY, V SRIDEVI, D SARASWATHI, L. S SINDHUJA

September 2026 Original scientific article
RECALIBRATING FDI PROMOTION POLICIES FOR ESG COMPLIANCE AND VALUE CREATION IN EMERGING MARKETS

In foreign direct investment (FDI) promotion, there is a traditional focus on investment volume measured by the number of projects, inflow of investment, and ease of approvals. But the rising demands for  sustainability in the global environment have made investment quality, ESG compliance, and value creation the focus of FDI. This paper attem...

By TRAN DO BAO CHAU, UYEN DINH TRINH, LE QUOC HOI

September 2026 Original scientific article
AN ANALYSIS OF PSYCHOPHYSIOLOGICAL DEVELOPMENT IN CHILDREN BORN THROUGH IN VITRO FERTILIZATION HIGHLIGHTING COGNITIVE AND BEHAVIORAL CHARACTERISTICS

More than ten million infants have been conceived through in vitro fertilization (IVF), but uncertainties remain about whether methods used in assisted conception leave any trace of their influence on psychophysiological development in later life. This review presents findings from empirical and meta-analytic studies published between 2010 and 2025...

By NODIR YADGAROV, SARVINOZ OTAMURATOVA, NILUFAR RAKHMONOVA, MUNISA SANAYEVA, IQBOLKHON ABDURAKHMANOVA, MEHRINISO ABUZALOVA, BEGALI RAYIMOV

September 2026 Original scientific article
PREDICTING INVESTMENT PREFERENCES FOR GOLD AND REAL ESTATE AMONG INDIAN SALARIED EMPLOYEES USING GRAPH NEURAL NETWORKS

The decisions made in investing among salaried individuals are guided by financial objectives, risk appetite, and demographics, with gold and real estate continuing to be some of the most favored ones in India. In this study, investment preference for gold and real estate among salaried individuals in India and a prediction model for predicting pre...

By TWINKLE, S NAZIM SHA

September 2026 Original scientific article
CITATION IMPACT PREDICTION USING MULTI CHANNEL FUSION FRAMEWORK

Citation impact prediction is complicated by the limitations of previous methods of prediction that are constrained to individual information channels such as textual features, citation networks, or bibliometrics. In this study, proposes a Multi-Channel Fusion Framework that leverages semantic, structural, and contextual information to predict cita...

By ZAHRAA YAHYA MAHDI AL-MAYALI, SALAM AL-AUGBY

September 2026 Original scientific article
THE EFFECT OF WORK LIFE BALANCE ON THE HAPPINESS OF OFFICE WORKERS IN HANOI AND THE ROLE OF INTERMEDIATE WORK SATISFACTION

This empirical study investigates the impact of work-life balance on the happiness of office workers in Hanoi's inner city, while also evaluating job satisfaction as a mediating variable in this relationship. In  light of the digital revolution, escalating work pressures, and the blurring boundaries between professional and personal life, it i...

By NGUYEN THI MO, DO BA HIEU, NGO THUY TRANG, VU TRI DUC, LE LUU LY

September 2026 Original scientific article
POST-MERGER INTEGRATION STRATEGIES AND THEIR INFLUENCE ON EMPLOYEE ADAPTABILITY AND ORGANIZATIONAL RESILIENCE IN THE IT SECTOR: A STRUCTURAL MODEL APPROACH

Mergers and Acquisitions (M&A) have been found to be one of the major strategies used in achieving growth, innovation, and competition within the IT industry. Nonetheless, most of the previous studies have focused either on the impact of M&As from the point of view of financial performance or the perspective of employees. The current resear...

By MADHAN SHANMUGASUNDARAM, P. SARAVANAN, V. M. PONNIAH

September 2026 Original scientific article
A METAHEURISTIC-DRIVEN INTELLIGENT MPPT AND MULTI-SOURCE DC–DC CONVERTER ARCHITECTURE FOR SIMULTANEOUS MAXIMUM POWER EXTRACTION IN HYBRID PV AND WIND ENERGY SYSTEMS

Incorporation of renewable energy resources in contemporary electricity generation systems has led to major difficulties in attaining effective energy harnessing, constant voltage regulation, and efficient power management amid varying environments. Traditional Maximum Power Point Tracking (MPPT) strategies, like the Perturb & Observe (P&O)...

By HARITHA INAPAGOLLA, R. ASHOK BAKKIYARAJ, KATRAGADDA SWARNASRI

September 2026 Original scientific article
DYNAMIC PANEL INVESTIGATION OF CORPORATE CASH HOLDINGS AND THEIR FINANCIAL OPERATIONAL AND GOVERNANCE DETERMINANTS IN VIETNAMESE RETAIL FIRMS

The study seeks to identify the joint effect of financial, operating, and governance features on the cash levels of retail firms listed in Vietnam. Instead of viewing the cash policy as a one-time decision that determines the cash balance, we model the cash level as a dynamic process where the current level is a function of past periods' cash level...

By HIEN NGUYEN THI BAO, SANG HA VAN, HOA PHAM THI THANH

September 2026 Original scientific article
QUANTUM BOLTZMANN MACHINES FOR HIGH DIMENSIONAL FEATURE SELECTION AND SPARSE REPRESENTATION IN AUTISM SPECTRUM DISORDER CLASSIFICATION

The classification of ASD from neuroimaging and behavioral information has not been easy owing to factors such as high dimensionality, non-linearity, and overfitting, among others. In this research, propose an innovative framework based on QBMs for feature selection and efficient representation for ASD classification. QBMs have been used to leverag...

By V. JOHN PETER, P. RENUKADEVI, S. ANNAMALAI, P. MANIKANDAN

September 2026 Original scientific article
MODIFIED ATTENTION U-DENSENET FOR 13-CLASS LUMBAR SPINE MRI SEGMENTATION

Low back pain can be caused by lumbar disc disorders; however, correct segmentation of the structures of the vertebrae and the disc disorders using MRI is crucial for clinical evaluation. In this case, previous deep-learning segmentation approaches have mainly concentrated on the segmentation of anatomical structures and lacked pathology-aware disc...

By RANA RIYADH SAEED, MUHAMMAD AMIR AS’ARI, AHMAD ZAHRAN MD KHUDZARI, AHMED SABEEH YOUSIF, HADEEL MOHAMED FAROOK ALHIALY, MOHAMED MUYASER NAIF

September 2026 Original scientific article
DETERMINANTS OF FINANCIAL PERFORMANCE IN THE VIETNAMESE SECURITIES INDUSTRY USING PANEL DATA EVIDENCE FROM 80 FIRMS ACROSS MARKET TIERS

The fast-paced development of the securities industry of Vietnam led to higher competition among enterprises and the necessity to discover the factors that determine the financial performance of various market segments. There is scarce literature concerning the financial performance of small, unlisted and UpCom securities firms, as previous studies...

By MINH TIEN CAO, BE THI THANH LOAN, TRUONG THỊ DUC GIANG, HUONG TRA PHAM, MAI QUYNH PHAM, VIET NINH VU

September 2026 Original scientific article
INTELLIGENT FINANCIAL DOCUMENT DIGITISATION AND CLASSIFICATION VIA A HYBRID ATTENTION-GUIDED DUAL PATH CNN WITH ATOMIC ORBITAL SEARCH OPTIMISATION

The financial institution uses different types of documents, including bank statements, cheques, income tax forms, salary slips, and electricity bills. Current approaches deal with either the preprocessing stage, text and feature extraction, or even classification separately and fail to perform efficiently on low-quality, handwritten, and visually ...

By ARCHANA LOPES, KOLLA BHANU PRAKASH, YU-CHEN HU

September 2026 Original scientific article
HYBRID FEATURE DESCRIPTORS WITH RESNET-BASED CLASSIFIERS FOR FAST TEXTILE FABRIC DEFECT DETECTION USING NOVEL HYBRID FEATURE EXTRACTION ALGORITHM

The detection of fabric defects through automation is important for ensuring the quality of the textile material because traditional detection methods are not only very time-consuming but also subjective and cannot be applied during the process of production. The traditional models that use techniques of image processing and deep learning have vari...

By DEEPTI PATIL, AMBIKA

September 2026 Original scientific article
VOICE-DRIVEN MULTI-AGENT BANKING KIOSK FOR RURAL FINANCIAL INCLUSION USING A2A COMMUNICATION

This study focuses on designing a self-service kiosk system called Bank and Loan Assistant Kiosk, which will be a breakthrough idea by using Multi-Agent System and machine learning technologies. Although considerable development has been made in online banking, there is a major flaw in the availability of voice-first and localized financial advice ...

By C. SREEKAR KASHYAP, SNEHA KUMARAJOTHI, P. VASUKI, M. ARUNSANKAR

September 2026 Original scientific article
EFFECT OF GRAPHENE AND GRAPHENE-FERROMOLYBDENUM ON MECHANICAL, ELECTRICAL, AND THERMAL PROPERTIES OF FSPED COPPER HYBRID COMPOSITES

Copper has good electrical and thermal conductivities and is used in numerous electrical and electronic applications as well as thermal management applications, but not for mechanical applications because of  its low mechanical strength. In this research work, fabrication of graphene and graphene ferromolybdenum (Gr–FeMo) reinforced copp...

By P. VINEETH KRISHNA, SABITHA JANNET, R. RAJA

September 2026 Original scientific article
SELF-ADAPTIVE COGNITIVE AI AGENT FRAMEWORK FOR PERSONALIZED ENGLISH SKILL DEVELOPMENT THROUGH CONTINUOUS LEARNER BEHAVIOUR MODELLING

The current teaching method of foreign languages is more and more adopting the method of using intelligent software to observe the learner's behavior and adapt teaching methods accordingly, but the teaching software currently used in the field of English learning still has many limitations such as relying on rigid rule sets or single-pass learning ...

By ZEBO BOTIROVA, GULNOZA OYBEKOVA, MUZAYYAMKHON ZOKIRKHONOVA, MAFTUNA RAKHMATOVA, FERUZA ERKULOVA, RASULBEK ERGASHEV

September 2026 Original scientific article
AESTHETICISM BETWEEN KNOWLEDGE & EXPERIENCES IN ARCHITECTURAL EDUCATION

One of the essential aspects of education in architecture is aesthetic knowledge, which impacts creativity, the thinking process, and the evaluation of architectural quality. However, not many empirical studies were carried out in order to understand the development of aesthetic knowledge for architecture students of various levels. The current stu...

By MAYYADAH L ABDULWAHHAB, NOOR A. M. AALHASHEM, HIBA SALIH MEFTEN, ASHWAQ FADHEL MUHKABER ALOMARI

September 2026 Original scientific article
SUSTAINABLE FINANCE IN THE AGE OF AI AND GREEN BANKING ADOPTION AMONG INDIAN BANKING CUSTOMERS

The increasing use of artificial intelligence (AI) in banking opens up possibilities for advancing eco-friendly banking, however, there is little empirical evidence on the interaction between AI service features, environmental and functional perceptions, and customer adoption in India. The research analyzes the relationship of environmental concern...

By M. J. SUMAIAH SHAHEEN, M. KARTHIKEYAN

September 2026 Original scientific article
THE IMPACT OF SOCIAL MEDIA ON GENERATION Z CONSUMERS' PURCHASING DECISIONS THROUGH SOCIAL INFLUENCE TRUST MECHANISMS AND PRODUCT PROMOTION

The rapid development of social media commerce has changed online shopping behavior with the incorporation of social interaction, user-generated content, and digital marketing in e-commerce platforms. Social commerce has made Generation Z one of the largest user groups, yet little research has been done on the combined effects of social influence, ...

By YUYANG WANG, S. SENTHIL KUMAR, K. SUBATHRA, YUNCHEN LIU, P. INFANT RAINA

September 2026 Review paper
A STUDY ON THE AESTHETICS OF NATIONAL HOLIDAYS REFLECTING THE HARMONY OF TRADITION AND MODERNITY

National holidays can be seen as concentrated aesthetic events where traditional symbolic systems meet the contemporary systems of staging, media, and design. The current study explores how the visual, ritual, and spatial language of national holidays is transformed in the encounter of traditional and contemporary ways of presentation, and suggests...

By GULCHEHRA SHADIMETOVA, SHAVKAT SHARIPOV, ZIYODA SAGATOVA, NARGIZAKHON NIYAZAKHUNOVA, AKBAR NURMATOV, GULXAYO RAVSHANOVA, KHADICHA FAYZIYEVA

September 2026 Original scientific article
SUSTAINABLE LEADERSHIP ENHANCING ORGANIZATIONAL RESILIENCE THROUGH EMERGING TECHNOLOGIES IN VUCA ENVIRONMENTS

The growing complexity and unpredictability of environments characterized by Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) made organizations realize the necessity of improving their resilience through the implementation of sustainable leadership practices and technologies. Although these areas have been studied independently, there is ...

By S. SARANYA, S. BENNEET, S.G. YOGESH, G. KALPANA, R. THIYAGARAJAN

September 2026 Original scientific article
DEVELOPING A COMPREHENSIVE HEALTH SCORING SYSTEM FOR STATIC, ROTATING, AND ELECTRICAL EQUIPMENT IN OIL REFINERIES

The proper functioning of static, rotating, and electrical equipment plays a vital role in ensuring the safety and uninterrupted production process within an oil refinery environment. In this research, an all-encompassing framework of an Equipment Health Score (EHS) will be formulated through a combination of lifecycle condition, operations data, m...

By AGUSTINUS PINDOAN PANJAITAN, RANU FAUZAN, EKO SUNARNO, DEDI APRIADI, RACHMAN SETIAWAN

September 2026 Original scientific article
A COMBINED PSM AND DID STUDY OF ESG RATING DIVERGENCE IN INDIA AFTER BRSR IMPLEMENTATION

The rising number of firms adopting ESG reporting frameworks has led to several inconsistencies in ESG ratings by various agencies, making it difficult to assess corporate sustainability performance for the benefit of the stakeholders, investors, and regulatory agencies. While the Business Responsibility and Sustainability Reporting (BRSR), which i...

By LAKSHMI NARASIMHA PRASAD NAGARAGERE, S. PRABAKAR

September 2026 Original scientific article
A HYBRID ENSEMBLE–DEEP LEARNING SYSTEM FOR MULTI-CROP RECOMMENDATION USING LIGHTGBM, CATBOOST, AND MLP

It is essential in the context of precision agriculture to be able to give accurate advice about the types of crops to grow, as the suitability of a crop depends on the complicated, nonlinear interactions between soil fertility, nutrient levels, and climatic conditions. Although the existing body of literature currently evaluates each recommender s...

By B. AMMANNI, SREERAMA MURTY MATURI

September 2026 Original scientific article
PSYCHOLOGICAL FACTORS INFLUENCING TOURISM BUSINESS PROMOTION AND SALES WITH AN AI-ASSISTED PROMOTIONAL FRAMEWORK

In recent times, tourism organizations have been requiring personalized promotional plans based on the preferences, behavior, and psychology of tourists. Traditional methods of promotion often target larger customer segments, which may not always suit individual tourism contexts. In such scenarios, this study will try to bridge the gap by consideri...

By L. CHANDNI, R. SANGEETHA

September 2026 Original scientific article
ASSESSING THE IMPACT OF CAPITAL BUFFER ON RISK TAKING AND BANK PERFORMANCE IN VIETNAMESE COMMERCIAL BANKS

This paper examines the determinants of capital buffers (CB) of 31 Vietnamese commercial banks over the period 2010-2024, taking into account the impact of income diversification ("DIV") under regulatory constraints (CARmin). In order to tackle endogeneity, unobservable heterogeneity, and panel persistence issues, a dynamic system GMM two-step proc...

By TRAN VAN HAI, TRAN THI LAN, NGUYEN ANH NGUYET

September 2026 Original scientific article
COGNITIVE READINESS BASED CAMPUS PLACEMENT PREDICTION USING ANN AND SHAP

Placements at campus level are one of the most crucial events for engineering and computing students; however, institutes use simplistic cutoffs and subjective judgment methods to determine the placement status of their students. In this study, a classification system is proposed by introducing new operational cognitive readiness criteria which inc...

By HAMEEDA KHATOON, CHANDRA PRAKASH VUDATHA

September 2026 Original scientific article
MULTILINGUAL XLM-R FOR MENTAL HEALTH SIGNAL DETECTION IN LOW-RESOURCE TAMIL LANGUAGE THROUGH CROSS-LINGUAL AND BILINGUAL LEARNING

Mental-health NLP (Natural Language Processing) remains strongly English-centric, limiting language-inclusive digital health technologies for low-resource languages such as Tamil. This study investigates whether multilingual representation learning can transfer a specialised mental-health classification task to Tamil and whether bilingual English&n...

By DEIVANAI GURUSAMY, MIDHUNCHAKKARAVARTHY JANARTHANAN

September 2026 Original scientific article
ASSESSING TRANSPORT SUSTAINABILITY IN IRAQ USING SUSTAINABLE DEVELOPMENT INDICATORS A COMPOSITE TIME-SERIES ANALYSIS OF ECONOMIC-OPERATIONAL SOCIAL AND ENVIRONMENTAL DIMENSIONS (2015–2023)

The issue of transport sustainability evaluation is difficult in developing countries since transport growth does not necessarily reflect the improved state of environmental conditions, road safety, and efficiency. In Iraq, the data on transport sector performance is provided separately for each sector and thus cannot be evaluated collectively. The...

By HELEN M. ABDUL HUSSEIN, SAFAA M. ALMUDHAFAR, BASIM A. ALMAYAHI

September 2026 Original scientific article
LATENT URBAN HERITAGE ASSESSMENT IN SAIGON HO CHI MINH CITY THROUGH HISTORICAL CARTOGRAPHY AND URBAN MORPHOLOGY

Ho Chi Minh City, historically known as Saigon, is being redeveloped at a pace that places pressure on heritage values located beyond protected monuments and colonial-era buildings. This study examines how earlier hydrological, settlement, commercial, defensive, administrative, and metropolitan structures remain visible or latent in the present urb...

By MINH HIEU NGUYEN, NGOC QUYNH GIAO PHAM, THI MINH DIEU NGUYEN

September 2026 Original scientific article
QUANTUM-INSPIRED NEURAL OPTIMIZATION FRAMEWORK FOR SUSTAINABLE ENERGY MANAGEMENT IN SMART GRID-CONNECTED RESIDENTIAL SYSTEMS

The incorporation of renewable energy sources and smart grids has resulted in the need for intelligent and adaptive energy management systems that are able to manage dynamic residential energy demands, uncertainties in renewable energy sources, and various constraints. Traditional optimization techniques and those based on artificial intelligence t...

By P. BHARATH KUMAR CHOWDARY, R. SUGUMAR, K. SARAVANAN, V.R. VIMAL, R. UDAYAKUMAR

September 2026 Original scientific article
ASSESSING IFRS 15 IMPLEMENTATION EFFECTS ON REVENUE PRACTICES AND ACCOUNTING INFORMATION SYSTEMS IN UAE TELECOM COMPANIES E& AND DU

By comparing e& with du, the study examines how introducing the International Accounting Standard 15 (IFRS 15) affected revenue recognition, revenue measurement, and information systems across UAE telecommunications businesses. The comparison provides evidence from both companies. Because data lacked a normal distribution, the analysis employed...

By RANYA RIYADH RADHI, HUSSEIN TALIB ALHAMADA, MAJID AHMED AL ANSSARI

September 2026 Original scientific article
EMOTIONAL INTELLIGENCE AND HUMAN–AI COLLABORATION: A MULTILEVEL ANALYSIS OF EMPLOYEE CREATIVITY AND ADAPTIVE PERFORMANCE

Workplaces that are equipped with artificial intelligence (AI) technology have changed the relationship between technology and people at work and require knowledge about how the interaction between human competencies and the conditions of an organization impacts work. This paper examines the role of emotional intelligence and the ability to collabo...

By TISHA TOMY, R. SHEEJA, V. SANTHOSH KUMAR, VEERA SHIREESHA SANGU, RUBEN ANTO MICHAEL, PAVITHRA SRINIVAS

September 2026 Original scientific article
APPLICATION OF NEURO-SYMBOLIC KNOWLEDGE MINING FOR CUSTOMER BEHAVIOR ANALYSIS AND STRATEGIC CRM DECISION-MAKING

Rapid development of digital platforms has led to an abundance of data collected from customers, necessitating the use of intelligent methods that can be used to analyze behavior patterns and aid in making effective Customer Relationship Management (CRM) decisions. Current CRM artificial intelligence systems mainly aim at high prediction accuracy a...

By REEM ABDALLA, H NIROSHINI INFANTIA

September 2026 Original scientific article
A CROSS-SECTIONAL STUDY ON COMMUNICATION KNOWLEDGE, PRACTICES, AND BARRIERS AMONG PRIMARY HEALTHCARE WORKERS IN AL-RAMADI, IRAQ

In resource-constrained, conflict-affected primary healthcare settings, communication hurdles persist despite the fact that efficient communication between healthcare personnel and patients is essential to attaining the best possible healthcare results. The purpose of this study was to evaluate the communication skills, behaviors, and perceived obs...

By RUYA ABDULHADI MOHAMMED SAEED AL-RAWI

September 2026 Original scientific article
REINFORCED ADAPTIVE HYBRID LSTM AUTOENCODER WITH SELF-HEALING INTELLIGENT REMEDIATION ENGINE FOR AUTOMATED DATA QUALITY MANAGEMENT IN HEALTHCARE IIOT SYSTEMS

Background: Healthcare Industrial Internet of Things (IIoT) application majorly focuses on clinical decision support, remote healthcare services, intelligent medical data management and patient monitoring to save the life of patients. The existing techniques of anomaly detection have issues of temporal misalignment, noisy physiological signals and ...

By VIVEKANANDA POTTI, M. RAJASEKHARA BABU

September 2026 Original scientific article
CHEMICAL PROPERTIES OF CLAY SOIL IN DIWANIYAH, IRAQ, AND THEIR ENGINEERING IMPLICATIONS

Characterizing clay soils in Diwaniyah, Iraq, is important because differences in mineralogy, salt content, and chemical composition can significantly affect the swelling tendency, strength, compressibility, and overall performance of foundation and subgrade soils for pavements. In this context, this research focuses on the study of chemical proper...

By SURA A. SAADOON, ALI A. AL-ROBAY

September 2026 Original scientific article
A COMPUTATIONAL ENGINEERING FRAMEWORK FOR CARBON FOOTPRINT ASSESSMENT AND SUSTAINABILITY OPTIMIZATION IN LARGE-SCALE ACADEMIC EVENT

Problem: Academic events, which require considerable amounts of energy, transportation, catering, water, material usage, and waste generation, lack integrated computational methodologies for assessment and optimization of their ecological footprint. Approach: The paper suggests a framework for computational engineering analysis and sustainability o...

By GOUTHAMI ERAGAMREDDY, INDRAJIT PAL, SRIRAMAKAVACHAM RAMACHARAN, PRASUN CHAKRABARTI

September 2026 Original scientific article
VIRTUAL CONSUMER TWIN FRAMEWORK FOR PREDICTIVE MARKETING AND CUSTOMER RETENTION

Organizations that want to gain a competitive advantage have focused on customer retention. However, traditional approaches to customer relationship management do not account for changing customer behaviour in the digital realm. This work suggests the Virtual Consumer Twin Framework (VCTF) for customer retention and predictive marketing through del...

By V. SUGANYA, PRIYA SETHURAMAN, K. LATHA, KIRUTHIGA BALASUBRAMANIAN

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