PROBABILISTIC SEMANTIC RECONSTRUCTION OF LOST PROTO INDO-EUROPEAN DIALECTS USING COMPUTATIONAL COMPARATIVE LINGUISTIC MODELING AND DEEP NEURAL ARCHIVING
Manual comparative methods have long been the main source for reconstructing Proto-Indo-European (PIE) dialects, with their weaknesses including fragmentary corpora, interpretive bias, and a lack of direct textual evidence. This paper introduces a probabilistic semantic reconstruction model that combines computational comparative linguistics and de...
By Mastura Tadjieva, Zaynab Matniyazova, Zarina Djumayeva, Khilola Umarkhujaeva, Mokhirukh Khoshimkhujaeva, Mohira Ankabayeva, Otabek Yusupov
AN EMPIRICAL ANALYSIS OF DIGITAL HR CAPABILITIES AND THE ALIGNMENT OF TECHNOLOGY, TALENT, AND STRATEGY IN INDIAN ORGANIZATIONS
This is empirical research that explores the effects of Digital HR Transformation (DHR) on talent managerial practice and organizational strategy fit in Indian companies. The study is premised on a quantitative method, which involves a structured questionnaire that is filled out by 215 HR practitioners in different industries. Regression modeling a...
By Neha Sharma, Amthul Naseeb Meher, Abdul Khabir, T.B. Indera Kala, G. Mahesh, Naina Malhotra
PRIORITY SWITCHING BASED ENERGY STORAGE AND MANAGEMENT SCHEME FOR SOLAR POWERED GRID INTEGRATED SYSTEM
This article includes the design, performance assessment, and cost analysis of an 83.2 kWp rooftop solar PV-powered grid-integrated microgrid at a Government Girls Polytechnic institute in Lucknow, India. The evaluation of performance was based on PVsyst software and one year of net-metering real-time data according to the IEC-61724 requirements. L...
By Raghvendra Kumar Yadav, Mohammad Atif Siddiqui
COGNITIVE LOAD OPTIMIZATION IN AUGMENTED REALITY ASSISTED VOCABULARY ACQUISITION FOR NEURODIVERGENT LANGUAGE LEARNERS
Neurodivergent language learners, including those with differences in attention regulation, sensory processing, and other measures, typically experience higher levels of intrinsic and extraneous cognitive load during vocabulary acquisition, leading to poorer vocabulary retention and slower semantic integration. The proposed study applies the Cognit...
By Saida Makhkamova, Yulduz Mehmonova, Azizakhon Khoshimova, Sevara Zokirova, Dildora Nuraliyeva, Subhida Jabborova, Shaxodat Axmedova
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
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
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
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
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
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