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
AUTOMATED IDENTIFICATION OF INACCURATE CITATION BY SIG-GATE FUSION ADAPTION
Citation network analysis is increasing rapidly nowadays. However, the most important challenge is addressing inaccurate citation detection, where many unreasonable citations happen today, such as when the content of the cited paper is not relevant to the reference paper (citing paper), reciprocity and small cycles, which mean that author A cites a...
By Zahraa Yahya Mahdi Al-Mayali, Salam Al-augby
CONSUMER TRUST AND ADOPTION OF DIGITAL LENDING SERVICES INVESTIGATING FACTORS INFLUENCING USER ACCEPTANCE AND CONTINUED USE OF DIGITAL LENDING APPS
The fast digitalization of financial services has introduced a new digital lending platform into the financial services market, which is easy to use and fast to provide credit. Circumference of behavioral intention, however, is a key manifestation of the uptake of these services and largely depends on trust, service quality, perceived ease, and per...
By P Hameem Khan, S.K. Mohammed Altaf, B. Raja Rao, A. MamathKumar, A. Nitheesha
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
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
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
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
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
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