Purpose: The study aims to establish the connection between green entrepreneurship variables, environmental management, green technologies, green commitment of individuals, and the environmentally sustainable workforce, and the performance of internationalization of the SME in China. It further examines the mediating position of eco-...

By WANG JING HUI, NOOR AFZAINIZA AFENDI, MUHAMAD ALI IMRAN BIN KAMARUDIN

Cyberbullying are becoming more susceptible to online social networks because of the large-scale usergenerated content. The current methods of detection are primarily post-event methods and lack built-in prevention strategies, thereby limiting their ability to ensure the protection of user privacy and platform security. In this paper, a H...

By N. SHEBA PARI, K. SENTHIL KUMAR

Generative AI (GenAI), especially GPT-3.5-turbo, has transformed the e-commerce marketing process because it offers personalized learning experiences and improves the customer experience. In this paper, we discuss the use of GenAI in consumer behavior analysis and the development of customized marketing strategies. It has been observ...

By BSMAH ALSULAMI, BUDOOR ALWATED, KHADIJAH BARASHID, MANAL ABDULLAH, MONERAH ALOSAIMI, SAMAH ALHUSAYNI

This research aims to propose and empirically examine a framework that explains how entrepreneurial orientation elements contribute to intellectual property commercialization performance among social science academicians in Malaysian public universities. Specifically, the framework explores the mediating role of university support and the moderatin...

By KHAIRIL AZFAR BIN AHMAD ZUBIR, MUHAMAD ALI IMRAN BIN KAMARUDIN

The study is an empirical study that examines the factors of employee engagement in the organized retailing sector of Bangalore, India. Since the industry is experiencing a rapid digitalization and high employee turnover, it is essential to understand what organizational and technological factors lead to workforce commitment. An organized survey wa...

By S. VAROODHINI, JALAJA ANILKUMAR, RICHA DAS, T. BHARATHI, S. RAMESH BABU, ARSHIYA ANJUM, S. MAHABUB BASHA

Text summarization plays a crucial role in natural language processing by condensing large volumes of textual information into concise and meaningful summaries. With the rapid growth of digital content, existing summarization approaches often struggle to balance contextual understanding and semantic relevance. This paper presents a PMI-driven BERT-...

By R. RAMESH, N. SUBALAKSHMI, S. SELVARANI, K. KAVITHA, M. JEYAKARTHIC

Financial reporting within enterprise resource planning now commonly rides on a blockchain backbone, yet the problem of keeping each distributed ledger in sync remains stubbornly difficult-especially when SAP modules are at the controls. This paper describes a simulation-based testbed that watches SAP payment journals as they hop between differentl...

By NAREN SWAMY JAMITHIREDDY

This study presents a bibliometric analysis of maritime tourism transportation management and development, emphasizing Malaysia’s contribution to global scholarship. Data were extracted from the Scopus database using title-based searches covering maritime tourism, island tourism, and transportation studies. A sample of 176 publications (1983 ...

By SHAMSUL NAZIM JAFFAR, MOHD SAIFUL IZWAAN SAADON, DINA AZLEEMA MOHAMED NOR, MOHD RIZAL ISMAIL, LOKE KENG BIN, NIK MUHAMAD AFIZ HAROM @ JUNOH

This study looks into how artificial intelligence (AI), especially machine learning (ML), might improve workplace satisfaction and employee engagement among mid-level IT professionals in Bangalore. The report examines the strategic uses of AI in digital trust systems, employee profiling, and predictive analytics, based on a structured survey of 434...

By AMTHUL NASEEB, S. RAMESH BABU, JALAJA ANILKUMAR, MOUNICA VALLABHANENI, INDUMATHI, N. VENKATARATHNAM, S. MAHABUB BASHA

Construction project managers have traditionally been chosen based on technical competence and experience, and little emphasis has been placed on emotional intelligence (EI), which plays an important part in the management of high-pressure environments, stakeholder relationships and conflict. The paper builds a contextual EI testing instrument base...

By MOHD NASRUN BIN MOHD NAWI, NORHIDAYAH TAMRIN, ABDUL GHAFUR HANAFI, MOHD FAIZAL OMAR, MOHD KAMARUL IRWAN ABDUL RAHIM, FAIZATUL AKMAR ABDUL NIFA

Predictive maintenance has become an important factor in improving the reliability and efficiency of industrial robots in the evolving environment of smart manufacturing. The proposed paper is a predictive maintenance framework based on AI to be implemented to multi-sensor industrial robots that will be used in a smart manufacturing setting. The po...

By PRIYA VIJ, ASHU NAYAK

The marine ecoculture is an evolving realm that necessitates thorough scrutiny of the diverse species it comprises, along with the explicit identification of the species classes that form, to be crucial for aquaculture and the ecological conservation of fish diversity. The stratification through image classification is a well-studied area of resear...

By R.P. SELVAM, R. DEVI

Manufacturing systems that are technology-intensive have high interdependencies between financial decisions on investments, the change in production capacity, and operational efficiency. Traditional methods tend to look at financial and operational planning in isolation, resulting in poor performance of the system and poor use of resources. In orde...

By MEGALA RAJENDRAN, YOKUBBAEVA UMIDA ABDUVAKHOB KIZI, KOSIMOV KHUSNIDDIN BADRIDDINOVICH, ERGASHEV RASULBEK SOKHIB UGLI, IPLINA ANTONINA ALEKSANDROVNA

Urban infrastructure, especially smart bridges, is growing rapidly, requiring effective solutions to ensure structural integrity. Conventional Structural Health Monitoring (SHM) systems have limitations in scalability, speed, and accuracy. This paper presents a new edge-enabled digital twin platform for real-time SHM of smart bridges, combining IoT...

By NIDHI MISHRA, AAKANSHA SOY

Project and operations management play an important role in enhancing efficiency in the development of large-scale technical systems. Although it is important, the strategic alignment of these fields is under-researched in the high-tech sectors where integration of engineering, procurement, and operations is critical in ensuring that they retain th...

By R. SATISH, B. SELVAKUMAR, DR. G. ARAVINDHAN, M. RADHAKRISHNAN

Within the database infrastructures of large-scale enterprises and government organizations, preserving swift and dependable disaster recovery processes continues to be particularly challenging with increasing data volumes and greater complexity in systems. This study conducts an evaluative analysis of advanced failover and backup methods, comparin...

By HARSHA VARDHAN REDDY KAVULURI

The high rate of Internet of Things (IoT) device proliferation in smart cities, along with the emergence of 6G technology, has tremendously augmented the network traffic and the issue of security. This paper proposes a Federated Learning-based Intrusion Detection System (FL-IDS) specifically designed for 6G-enabled IoT networks. The new system help...

By SANJAY KUMAR, SAPNA BAWANKAR, SINDHUSARANYA BALRAJ

The proposed research paper suggests a hybrid system to improve speed and data extraction in a large data server setup, but the focus will be on how to maximize the use of resources and provide actionable information on the unstructured data. The architecture also incorporates fragmentation-enabled virtual machine (VM) migration and high-end data s...

By G.S. MANJULA, T. MEYYAPPAN

In the dynamic environment of the high-technology production, the supply chain and financial risks management have become more important to maintain the continuity of the operations and profitability. Although a large amount of data is available, most industries continue to struggle to use this data to optimize all risks holistically. In this paper...

By PRIYA SETHURAMAN, M. KALAIVANI, K. LATHA, B. KIRUTHIGA

Bio-inspired reconfigurable antenna arrays may be one possible answer to the challenges of energy efficiency, capability, and stability in ultra-low-power Wireless Body Area Networks (WBANs). In this paper, a bio-inspired reconfigurable architecture for antenna arrays is proposed, which can adaptively change radiation patterns and impedance propert...

By ROOHEE KHAN, ASHU NAYAK

The smart infrastructure construction projects implemented under the Engineering-Procurement-Construction (EPC) model have been growing more complicated with the globalized supply chains, the technology-induced complexity of the components employed, and the increased sustainability and risk management demands. Conventional EPC supply chain and proj...

By SARDORBEK ISROILOV, AZIBAEV AKHMADKHON GULOMJON UGLI, ABDURAKHIMOVA ZULAYKHO IKROMJON KIZI, RASHIDKHON UULU ATABEK, ISMOILOV RAVSHANJON YAKUBJON UGLI

The transition to low-carbon urban transport has catalyzed interest in hybrid hydrogen-electric powertrains for connected autonomous vehicles (CAVs), which offer zero tailpipe emissions, long driving range, and the potential to refuel quickly. The paper proposes a system-level optimization model for hybrid hydrogen-electric powertrains in urban tra...

By ANJALI GOSWAMI, ANJALI KRUSHNA KADAO

Researchers have begun coupling SAP invoicing engines with blockchain smart contracts to automate document flows and provide an audit trail that cannot be tampered with. Still, a nagging obstacle is the mismatch between the timestamps SAP assigns to events and the moments when those same events are registered on a blockchain. In an effort to quanti...

By NAGENDRA HARISH JAMITHIREDDY

Sixth generation (6G) communication networks are anticipated to facilitate the achievement of ultra-low latency, massive device connections, intelligent automation, and high-security in the end-to-end connectivity to accommodate new applications, including autonomous systems, immersive communications, and massive infrastructures of cyber-physical u...

By A. MUMMOORTHY, M. RAJESWARI, K.S. KRISHNAPRIYA, S. KRITHIKA, S. SUGANYA, GAFUR NAMAZOV, M. NALINI

The manufacturing industry around the globe is now facing one of the most nervous upheavals in history, wherein the prediction of financial performance now ranks among the most crucial processes of production. In the case of technology-intensive companies, standard planning may not be as precise as it needs to be to cope with high capital intensity...

By SHINKI KATYAYANI PANDEY, MARIYAM AHMED

This article introduces an advanced controller technique, as well as a One-Stage Boosting Power Factor Correction (OSBPFC) converter. The proposed approach is oriented towards the creation of more powerful features (PQ), more desirable stability, and adherence to fundamental principles for input interfaces. This technique, which distinguishes it fr...

By M. DEVI, S. LAKSHMI

Emerging economies have a dynamic and challenging business environment, which requires entrepreneurial marketing and innovation capabilities of the high-tech startups. Such startups are usually faced with issues of lack of resources, regulation and lack of proper infrastructure. In this regard, it is important to combine entrepreneurial marketing p...

By JAINISH ROY, RAJESH SEHGAL

The paper will discuss the issues with industrial vision systems in detecting defects, especially in the manufacturing of tyres, where changes in exterior light and distortion will compromise the accuracy of defect detection. The suggested scheme combines Directional Convoluted Ternary Pattern (DCTP) in the extraction of texture features and Distri...

By N.P. RAJESWARI, M. VIJAY

The fast development of Industry 4.0 has forced a shift in paradigm in the management of complex infrastructure projects in engineering enterprises. The presented study will examine the concept of the digital transformation (DT) of project and operations management with the emphasis on the incorporation of smart technologies into the conventional e...

By SANDEEP SONI, RAJVIR SAINI

The detection of stroke is vital since any delay in diagnosis may lead to significant disability or the loss of life. The existing predictive models fail to capture stroke symptoms with accuracy because of low complexity, and the ability to be used in the real-time situation in the clinical setting. In the following paper, an AI-based system of ear...

By D. USHASREE, A.V. PRAVEEN KRISHNA, CH. MALLIKARJUNA RAO, D.V. LALITA PARAMESWARI

Introduction: The 6G world requires connected intelligence, but there is a crucial paradox between the standards of Large Language Model (LLM) and edge constraints. The premium devices have up to 6-12GB of DRAM, whereas the typical 175B models need 350GB of storage, which is 30 times that of the premium version.  Literature Survey: It has been...

By REJI K KOLLINAL, MARIYA T CHEERAN

This paper discusses how data-based strategic and financial management can contribute to the competitive advantage of science and technology-based Small and Medium-sized Enterprises (SMEs). SMEs are challenged to use data to make better business decisions in an ever-dynamic and technology-driven market. This research combines data analytics into a ...

By RAVINDER SHARMA, SHYAM MAURYA

Waste Foundry Sand (WFS) is the disposal that has been of great concern to the environment and this is as a result of high volumes generated in the process of metal casting. The building sector is developing eco-friendly alternatives to the natural aggregates in order to minimize environmental degradation and save natural resources. In this paper, ...

By JOHN SUNDARRAJ, KESAVAN GOVINDARAJ

In this work, a new optimization approach for the exploitation and smooth integration of hybrid renewable sources (HRs), including PV solar/wind turbines in addition to a dynamic reconfiguration process of electricity distribution microgrids, is proposed. A crucial novelty of this work is the definition of a multi-scenario optimization framewo...

By GHAITH M. FADHIL, SAEID GHASSEM ZADEH

Proper brain tumor segmentation is of great importance in the diagnosis and treatment planning. In this paper, the author presents an EfficientNet-modified U-Net-based system to segment the glioma in the pre-operative MRI scans using the BraTS 2018 dataset. This data consists of four types of MRI (T1, T2, T1Gd, and FLAIR). The model uses the Effici...

By P.A. MONISHA, S. SUKUMARAN, G. KARTHIKEYAN

The evolution of traditional microgrids to integrate distributed renewable energy sources, such as solar and wind, has transformed them into complex cyber-physical systems (CPSs). While this enhances sustainability, it introduces challenges related to intermittency, uncertainty, and real-time operational decision-making. A major concern is the reli...

By ANJALI KRUSHNA KADAO, SANJAY KUMAR

The Internet of Things (IoT) is a rapidly developing industry that currently requires effective monitoring systems to process data in real time and make decisions. In this paper, a new method of multi-hop signal transmission in the IoTs is suggested to be combined with dynamic feedback loops embedded in the Oracle APEX-based monitoring systems. The...

By SRIKANTH REDDY KESHIREDDY

The study fills the gap in the current understanding of available legal safeguards and the actual inclusion of transgender workers that, despite constitutional and legislative requirements in India, there is still no equal access to work-related facilities, computerized systems, and company policies. In order to fill this gap, the research will use...

By BHARGABI BARUAH, SONIKA BHARDWAJ

This research paper examines the biogenic production of silver nanoparticles (AgNPs) using cyanobacterial strains (Spirulina, Nostoc, and Anabaena) that have been isolated in arid areas, Hail, in Saudi Arabia, and determines their antimicrobial effects in relation to multi-drug-resistant pathogens. Synthesis was done by incubating cyanobacterial bi...

By SANA M. ALENEZI, AMAL A. AL-HAZZANI, FATIMAH S. ALKHATTAF

The stability of smart grids (SG) plays a critical role in improving the stability of power supply, particularly when system failures or sensor breakdowns could occur and result in a lack of input data. This paper provides a new method of prediction of smart grid consistency by using a Gradient Policy prediction model, which is based on reinforceme...

By S. MAHENDRAN, B. GOMATHY

The automotive industry is increasingly focused on developing lightweight, fuel-efficient, and structurally robust components to meet stringent performance and sustainability requirements. Additively manufactured lattice structures have emerged as a promising solution due to their high strength-to-weight ratio, energy absorption capability, and geo...

By SAPNA BAWANKAR, PRIYA VIJ

Influential node detection in networks is vital in diverse applications, particularly with the online social networks (OSNs). Measures of centrality, traditional ones, fail to sufficiently describe the influence of nodes on complex and multilayered networks. This paper presents a novel hybrid method that combines traditional topological centrality ...

By CS. SARADHA

This paper examines the distribution of maximum precipitation of the Supe basin at the return periods of 10, 100, 1000, and 10,000 years using Weibull technique to estimate return time. They compare PISCOp v2.1 and RAIN4PE which are two gridded rain products to evaluate their predictability in terms of extreme precipitation occurrences. These gridd...

By RENGIFO-AREVALO JHON FILIPS, AGRAMONTE-MONGE HENRY FABIAN, ABEL CARMONA ARTEAGA, CAMPOS-VASQUEZ NEICER

The enterprises, which are science and technology-based (STBEs), work in a highly dynamic and knowledge-intensive environment where long-lasting competitiveness is determined by the success in matching innovation and marketing potential. Although these capabilities have been studied separately in previous research, a noticeable lack of empirical re...

By NAJMITDINOV AKHADKHON KHAMITDKHANOVICH, SARDORBEK ISROILOV, IBRAGIMOV ULMAS RAKHMANOVICH, GOFURJANOV IBROKHIMJON ILKHOMJON UGLI, TOKHIR KHORILOV GAYBIDDINOVICH

The paper suggests a hybrid multimodal sentiment analysis (MSA) model that would enhance the accuracy of sentiment prediction through the combination of textual, auditory, and visual information. In most cases, the traditional sentiment analysis models have been challenged because of numerous overlapping features and poor fusion methods when using ...

By JAYAPRAKASH VATTIKUNDALA, M. SIVA GANGA PRASAD

Rapid and accurate assessment of civic infrastructure following a natural or artificial disaster is essential to planning emergency response and recovery. This paper introduces a control system based on deep reinforcement learning (DRL) to coordinate unmanned aerial vehicle (UAV) swarms and methodically approach the post-disaster infrastructure ins...

By MOTI RANJAN TANDI, ARCHANA MISHRA

Sentiment analysis (SA) is important in comprehending the opinions and online discussions of people in different languages, particularly in high-resource and low-resource languages. In the present paper, a new model of transfer deep learning is presented, which incorporates cross-lingual embeddings in an attempt to boost sentiment analysis in both ...

By JAYAPRAKASH VATTIKUNDALA, M. SIVA GANGA PRASAD

This research paper examines how the strategic marketing analytics, which combines big data, artificial intelligence (AI), and knowledge management can be used to improve the competitive advantage in data-driven markets. The research tests the effectiveness of AI-driven analytics in enhancing the performance of the market, customer high retention a...

By M. VENITH VIJAY, VIJAYAKANTHAN SELVARAJ, R. MUZHUMATHI, P. SUNDARA BALAMURUGAN

Hazardous air pollutants (HAPs) can be a critical risk to the sustainability of the environment and human health, which must be addressed by highly sophisticated predictive models to eliminate risks successfully. In this study, the researcher presents a hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with the ability t...

By K. MURALISANKAR, G. BALAJI, C. RAMKUMAR, M. VASUKI, S. VIJAYANANTHAN, D. ANGAYARKANNI, MOHAMMED ASLAM, M. NARMATHA

This research examines how asphalt mixtures that are modified with Zycotherm can help the mixtures have an enhanced resistance to damage caused by moisture which has not been well researched in previous studies. Hydraulic deterioration of asphalt and in particular the clay soils contribute greatly to the strength and lifespan of the road surfaces. ...

By JEREMY MEL GARCIA BAZAN, MANUEL ALEJANDRO TORRES ARROYO, NEICER CAMPOS VASQUEZ, ABEL CARMONA ARTEAGA

The research introduces Cloud-SCIM (Supply Chain Integration and Cloud-Based Operations Management to Resilient Smart Manufacturing) model, which aims to solve the problems of the modern manufacturing system. The model leverages cloud computing, IoT, and AI analytics to harmonize supply chain operations, boosting efficiency, flexibility, and resili...

By LALIT SACHDEVA, UTKARSH ANAND

Image segmentation plays an important role in medical diagnosis and recognition, but the traditional methods of multilevel thresholding have exponential computation complexity with the number of thresholds. The study corresponds to the necessity to have a computationally effective parameter-free optimization to support fast clinical decision-making...

By S. ANBAZHAGAN, M. KARTHIKA, S. RAMKUMAR, P. NAMMALVAR, P. ANBARASAN, V. KRISHNAKUMAR

Advancements in technology have increased demand for systems that continuously monitor the cardiovascular system in a non-invasive, energy-efficient way. Wearable sensors, in their current form, have many drawbacks: they require external power sources and are made of rigid components. This can impact the user experience, the system, the sensor's ab...

By ANUPA SINHA, MOTI RANJAN TANDI

This research investigates the Magnetohydrodynamic (MHD) flow of a Sutterby hybrid nanofluid over a convectively heated stretching sheet, specifically addressing the protection of human skin from solar thermal radiation. Utilizing Buongiorno’s nanomaterial model, the study evaluates the synergy of Cadmium Selenide (CdSe) and (𝐶6𝐻11𝑁𝑂4)𝑛&minus...

By P. ASAIGEETHAN, M. PERUMALSAMY, M. GNANAKUMAR, J. DURAIKANNAN, R. SARAVANAKUMAR, V. SUBHASHINI, V. JOTHI FRANCINA, N. DEEPA

The concept of monitoring conditions with the help of AI has become a significant aspect of Industry 4.0 that enhances machine reliability and provides predictive maintenance. However, the models of anomaly detection based on deep learning are not readily implemented because of their lack of interpretability. The article introduces a novel anomaly ...

By M. MOHAMED MUSTHAFA, A. AAFIYA THAHASEEN, R. ARULMOZHI, S. MOHAMMED IBRAHIM, S. SANGEETHA, M. RABIYATHUL FATHIMA, M. GOWTHAMI, P. ESAIYAZHINI

The study will be conducted to complement the diagnosis of proximal caries lesions that are difficult to improve due to their location between the teeth, as shown in Near-Infrared Light Transillumination (NILT) photographs. It was proposed to enhance caries detection with a semantic segmentation model based on YOLOv11, which is more specific in det...

By ASMA ALATAWI, WDAEE ALHALABI, HANI NASSAR, ARWA BASBRAIN, HATTAN JAMALELLAIL, MOHAMMED ALSADAT

Down Syndrome (DS) is a genetic disorder due to a partial copy of the 21 st chromosome in the fetus, usually detected by invasive techniques like Amniocentesis and Chorionic Villus Sampling (CVS) which have chances of miscarriage. This paper suggests a completely automated and computer-aided method of non-invasive detection of DS by ultrasound fetu...

By

The propagation faults are crippling the real-time streaming of content in learning environments with limited bandwidth, resulting in a small loss of packets that propagate into severe packet synchronization errors. The issue that is dealt with in this research is the preservation of continuity in streams through network conditions with throughput ...

By ANKITA SAPPA

The sophistication of the contemporary code has augmented defect prediction (SDP) with vital concerns like severe imbalance in classes, high redundancy of features and failure of conventional techniques to gain the rich semantic and structural context of a source code. The model suggested within the current paper is HDA-SE-GFF that has Semantic-Enr...

By P. BHAVANI, N. DANAPAQUIAME

Efficient document streaming requires robust preprocessing and semantic modeling to handle noise, redundancy, and morphological variations in large-scale text data. Existing stemming and document processing techniques often fail to preserve contextual relevance, leading to reduced classification and retrieval performance. In a bid to overcome this ...

By K. RANJIT KUMAR, S. THIRUMARAN

The rapid growth of urban populations has exacerbated energy waste, resource inefficiency, and environmental degradation in contemporary cities, necessitating crucial, smart building solutions. This paper examines the incorporation of the Internet of Things (IoT) in intelligent buildings to facilitate sustainable urban development. The study helps ...

By DAWAKIT LEPCHA, KANCHAN THAKUR

The Recency-Frequency-Monetary (RFM) model is a widely used method for customer segmentation, but its effectiveness depends on selecting the appropriate variant (e.g., weighted or entropy-based) for a given dataset. This selection process is typically manual and task-specific, leading to inconsistent results and limited generalizability. To address...

By F. MARY MAGDALENE JANE, V. PREAM SUDHA, S. SARANYA, P. USHA, V. SANTHANA LAKSHMI, S.R. KALAISELVI

The paper examines the impact of online communities, learning environment, family harmony, and health habits, and their effects on student resilience and work-life balance in post-pandemic Kerala. It also studies the mediation effect of resilience between these factors and academic adaptability, as well as well-being. A mixed-method sequential desi...

By BOBBY PUDUKADEN, A. MARTIN JAYARAJ

This study presents an advanced approach for Pest Detection (PD) through automatic identification of invasive insects using Deep Ensemble Learning (DEL) and intelligent Feature Extraction (FE) techniques. The process begins with Z-score normalization (ZSN) to eliminate noise and improve classifier performance. Improved Feature Weighted Fuzzy Cluste...

By P. BHARATHI, K. DHANALAKSHMI

Energy storage has been central in improving the effectiveness and sustainability of renewable energy systems. With the increased penetration of renewable energy sources like solar energy and wind energy, the intermittent nature of these sources prompts a need to consider the incorporation of highly developed storage energy technologies in order to...

By SHINKI KATYAYANI PANDEY, MARIYAM AHMED

Blind students usually are subjected to a substantial impediment of reading and accessing electronic documents, especially data that are noisy and those that are carefully designed. Traditional NLP models severely underestimate or misinterpret mathematical expressions in which symbols are represented as notation. It is a critical problem in the edu...

By J. JOICE, C. SATHYA

This paper outlines the design and development of a blockchain-secured pharmaceutical supply chain traceability system that uses IoT and cloud computing to overcome the major problems in pharmaceutical manufacturing, including counterfeiting, fraud, and regulatory compliance. The system consists of IoT equipment, such as RFID tags, environmental se...

By SAPNA BAWANKAR, ROOHEE KHAN, SINDHUSARANYA BALRAJ

The seismic nature of the soil in urban spheres is very susceptible to seismic ground failures caused by intricate soil conditions, extensive development, and outdated construction methods. However, structural solutions have always played the most important role in seismic design; growing evidence points to the importance of geotechnical engineerin...

By JAINISH ROY, RAJESH SEHGAL

The 6G wireless networks will be used in autonomous systems, extended reality, digital healthcare, and large-scale cyber-physical infrastructures, making it possible to provide applications they previously did not know to be intelligent and ultra-reliable communication. Nevertheless, 6G networks are quite complicated and heterogeneous, which are ch...

By P. KARUNAKARAN, ALI BOSTANI, SALOMOV GULOM, S. SHANTHA KUMAR, V. MANIMALA, T. VELMURUGAN, R. PRAVEENKUMAR

The speed of the electronic healthcare system, clinical information system, and biomedical sensing technologies has resulted in the creation of extremely huge high-dimensional and heterogeneous medical data. Such data have substantial potential to automatically diagnose diseases, but are difficult to use because they are feature redundant, nonlinea...

By KOMAL SAXENA, M. PRANEESH, S. NANCY LIMA CHRISTY, K. NANDHINI, TOLIB RAJABOV, M. NALINI, SHALU GUPTA

The paper discusses the importance of innovation in revolutionizing the scientific equipment market in India with a lot of focus on how it has changed supplier firms and its end consumers particularly the pharmaceutical industry. It underscores the use of new technologies and models of business with regard to improved operational performance and ef...

By DINAKAR LINGAM, SYED JAFFER

The digitalization of healthcare is fast, bringing about abundant and diverse medical data with novel opportunities to bring precise healthcare with the help of artificial intelligence (AI) associated analytics. Traditional methods of data analysis in medical fields frequently do not describe nonlinear and complex relationships in multimodal clinic...

By B. SENTHILKUMARAN, GAJRAJ SINGH, ALI BOSTANI, S. KRITHIKA, ZARINA KHALBAYEVA, R. USHASREE, P. NANTHINI

The wireless networks of the sixth generation (6G) are likely to be an AI-native, highly dynamic, and ultra-dense communication eco-system, where the question of security, privacy and resiliency is much more complicated to address than in other generations. Conventional static and prescriptive network management tools cannot scale, be heterogeneous...

By P. SENTHILKUMAR, V. SHEELA, G.D. PRAVEENKUMAR, ALI BOSTANI, NAZOKAT TUKHTAEVA, M. NALINI, M. KARPAGAM

Accurate prediction of stock market trends remains a challenging task due to high volatility, non-linearity, and the dynamic nature of financial time series data. Conventional statistical and machine learning typically do not provide consistent performance due to the fixed hyperparameter settings and the inability to adapt to a shifting market situ...

By N. SUBALAKSHMI, M. JEYAKARTHIC, V. MOHANASELVAM

The global construction industry accounts for approximately 37% of energy-related carbon dioxide emissions and nearly one-third of global waste, necessitating a rapid shift toward sustainable practices. Building Information Modeling (BIM) has become a transition catalyst, going beyond simple 3D visualization that has incorporated environmental inte...

By DEEPTI PATNAIK, RAKSHAK BHARTI

Due to the fast adoption of digital technologies and artificial intelligence (AI), the operations of enterprises, especially in the context of supply chain management (SCM) and human resource (HR) practises, are being fundamentally reorganised by allowing data-driven decision-making, automating processes, and enhancing agility to organisational cha...

By SURESHKUMAR SOMANATHAN, R. HARSHA, SHERZOD KHALILOV, ANVAR KHUDOYAROV, SAMARIDDIN MAKHMUDOV, PALLAPATI RAVI KUMAR, RAJINDER KUMAR

An environment that is characterised by a high rate of technological change, short product life cycle, and fluctuating market demand demands a high level of technology, and therefore, the conventional project management approaches may no longer be effective. This paper analyzes how agile project management strategies can be used to support cross-fu...

By M.N. PRABADEVI, P.A. MARY AUXILIA, B. JEYAPRABHA, N. ZEENATH ZARINA, M. MENAKA

The fast development of digital technologies has transformed the organization and work relations, and the process of the digitalization of Human Resource Management (HRM) has become significant in optimizing the performance of the organization. In this paper, I am going to examine how Artificial Intelligence (AI), flexible work environments, and st...

By E. PAVITHRA, K. SATHISHKUMAR, G. KOWSALYA, M. RAMALINGAM, PARDAEV JAMSHID, JYOTI PRASAD KALITA, S.D. VIJAYAKUMAR

Nanomaterials have distinct physicochemical characteristics of high surface area, controllable surface chemistry, and size-dependent reactivity, which can be used to fine-tune industrial chemical reactions to maximize efficiency and sustainability. The paper examines the incorporation of the following nanomaterials, namely carbon nanotubes, graphen...

By SANDEEP SONI, RAJVIR SAINI

The problem of brain tumors is a range of different subtypes, which have a variety of clinical forms, and the diagnosis and treatment of tumors is a challenging task. This paper introduces a hybrid deep learning system that combines genomic profiling with MRI image analysis to provide an effective brain tumor subtyping. The framework is initiated b...

By M. YUVARAJA, S. SURESHKUMAR, J. DHANASEKAR, VILAS NAMDEO NITNAWARE, M. SOWMYA, D. KUMAR

Geodesy is dependent on proper positioning and spatial information, and this is usually determined by GNSS and remote sensing techniques. Nevertheless, the conventional techniques are usually limited in terms of accuracy, particularly where the environment is complex. This paper explores the use of GNSS data in conjunction with remote sensing in or...

By ANKITA NIHLANI, NISHTHA SHARMA

One of the major issues in the agricultural industry is cocoa quality determination that may be based on subjective sensory assessment techniques that may cause inconsistency and losses after harvesting. The following research will solve the set of issues by taking the Mumford-Shah functional algorithm with the image segmentation, to evaluate the q...

By EDUARDO ARTURO GUILLEN BAZAN, PABLO CESAR MEDRANO NINA, NEICER CAMPOS VASQUEZ

This paper introduces a new E-voting system that uses the consensus algorithms to ensure secure, efficient, and transparent voting processes on the basis of blockchain. The suggested model combines a number of cryptographic methods and consensus algorithms to overcome the current issues related to the traditional voting systems, including slow proc...

By V. MALATHI, R. JAICHANDRAN

The world aerospace industry is now facing an important shift from traditional metallic structures to high-tech advanced composite materials in order to meet the two-fold needs of structural optimization and environmental sustainability. This study examines the evolution of high-performance composite materials, particularly carbon fiber reinforced ...

By RAVINDER SHARMA, SHYAM MAURYA

The center of gravity (COG) approach is crucial in streamlining the logistics distribution channels by reducing transportation expenses and improving performance. This paper discusses the use of the COG method in the identification of the most optimal distribution center locations in a network of logistics. To determine the level of effectiveness o...

By ASTRID CHABELI VEREAU BENITES, NEICER CAMPOS VASQUEZ

Micro-expressions (MEs) are involuntary facial expressions, short-lived (usually between 1/5 and 1/25 seconds), and important in the application of security, psychological tests, and forensics. The MEs are however difficult to identify because it occur quickly and also involve little movement of the muscles. The paper presents an Enhanced Micro-Exp...

By P. SUREKHA, P. VIDYA SAGAR, G. RAMESH

The rapid growth of cloud-based and large-scale network infrastructures has increased the complexity and frequency of cyber-attacks, demanding efficient and scalable intrusion detection systems (IDS). This paper will also attempt to create a better Network Intrusion Detection System (NIDS) by incorporating a Hybrid Median Attribute Clustering model...

By RAJASEKHAR KASEEBHOTLA, RAGHAVA RAO, MALLIKARJUNA RAO

The aim of the research is to assess the applicability of robotics and automation technologies to enhance safety performance and operational efficiency in mining operations in surface, underground, and coal mining settings. A mixed-methods and systematic approach was embraced, which involved the secondary data through peer-reviewed publications, in...

By PARVINDAR KAUR CHHABDA, ARVIND KUMAR SAXENA

The stability of slope in unsaturated low plasticity soils is also a major issue particularly in areas where the level of water changes. This paper looks into how the Barcelona Basic Model (BBM) applies to the evaluation of the stability of a real slope that consists of low plasticity silt in the Chilca region, Peru. There was a complete characteri...

By LUIS ROBERTO VALDERRAMA MOSCOSO, JUAN ANTONIO GAONA ROJAS, NEICER CAMPOS VASQUEZ, ENZO LUIGUI PACAHUALA ROJAS, RUBEN KEVIN MANTURANO CHIPANA

Needlestick injuries (NSIs) are an ongoing workplace risk associated with healthcare facilities and this risk is even more pronounced in the developing economies where the traditional disposable syringes are still in use as a method of therapy. Even though the use of safety-engineered syringes has been globally endorsed to minimize the occupational...

By GIRISH KUMAR KUPPIREDDY, KAMINENI SARADHI

Smart grids are a major improvement on the conventional electrical grids as they incorporate digital communications, automated control, and sophisticated sensing systems in order to maximize power generation, distribution, and utilization. The paper will examine how Artificial Intelligence (AI) can be used to optimize energy systems in smart grid s...

By PRIYA VIJ, ASHU NAYAK

The platform economy has been growing rapidly, intensifying digital transformation efforts. Still, most platform companies fail to convert technological investments into sustainable value due to disjointed ecosystem coordination and a short-term marketing focus. This paper will explore the role of ecosystem-based marketing, facilitated by digital t...

By S. KARUNAKARAN, V. SAILLAJA, R. SUGUNA, B. SURESHBABU

Industrial systems increasingly rely on Industrial Internet of Things (IIoT) sensors for real-time monitoring and predictive maintenance. However, most existing digital twin–based monitoring solutions depend on static or black-box machine learning models, limiting interpretability, operator trust, and safe deployment in safety-critical enviro...

By R. KOUSALYA, V. RADHIKA, C. THANGAMANI, V. DEEPA, LAXMI BASAPPA DHARMANNAVAR

Precision agriculture using smart technologies has transformed sustainable crop management to solve the problem of rising food security, resource optimization, and environmental sustainability. In precision agriculture, modern hardware, including Internet of Things (IoT) sensors and objects, drones, and artificial intelligence (AI), is used to boos...

By LALIT SACHDEVA, UTKARSH ANAND

The rapid advancement of immersive technologies has opened new possibilities for enhancing physics education through virtual learning environments. This study presents the design, implementation, and evaluation of an AR/VR-based Simple Pendulum virtual laboratory developed using the Unity platform to support Outcome-Based Education (OBE) under the ...

By ALEX MATHEW, K. MARTIN SAGAYAM, J. SAMSON IMMANUEL, P. ESTHER JEBARANI

High-precision crop type mapping is fundamental for agricultural monitoring, food security assessment, and sustainable land management. Recent breakthroughs in Earth observation and machine learning (ML) have greatly enhanced the potential for satellite data to capture crop phenology, spatial variability, and temporal variations. This paper conduct...

By BENAZIR MEERASHA, K. MARTIN SAGAYAM, P. MALIN BRUNTHA, JASMINE DAVID, VASU KODURI

The innovation of Machine Learning (ML) techniques is evolving from basic techniques to optimized techniques, considerably improving the performance of prediction models. In the proposed work, the study primarily explores fundamental ML classification methods to classify banking customers based on their credit information. The classification of cus...

By SUFAIRA SHAMSUDEEN, K. RANJITH SINGH

Purpose- The main objective of the proposed paper is to create and implement a real-time wearable health monitoring system based on IoT, i.e., Oxy Sense-Wear, that will enable the constant control of the main physiological parameters, such as ECG, EMG, SpO2, body temperature, and physical activity. The system is aimed at long-term surveillance of t...

By M.N. VIMAL KUMAR, M. PRAVIN KUMAR, BASKAR DURAISAMY, A.K. JAITHUNBI, P. SAMSON PETER, V.M. THEJASHRI

It presents a dynamic model of inventory management of the deteriorating items with time-sensitive demand and variable holding costs. The model is used to solve the problem in industries where demand is seasonal or because of other external conditions, like weather or market conditions. A two-tier inventory model is implemented as a way of minimizi...

By PRASHANT SHARMA, BIRENDRA KUMAR CHAUHAN, GAJRAJ SINGH

Nanoscience and nanotechnology transformed material science with the introduction of nanomaterials that have special physical, chemical, optical, and mechanical characteristics because of their tiny size on the nanoscale. The materials have superior surface areas, quantum imagery, and unique electrical properties when compared to bulk materials, wh...

By ANIL KUMAR, SWATI, NIHARIKA

To solve the problems of traditional Apriori algorithm in power marketing big data processing, such as candidate item set redundancy, low single-machine computing efficiency, and difficulty in adapting to multi-dimensional time series data, this study proposes an improved Apriori algorithm that integrates Resilient Distributed Dataset (RDD) distrib...

By FAN PAN, LINGEN ZHOU, LU GAN, WEI KANG, XIAOLEI LI