RICE LEAF DISEASE DIAGNOSIS THROUGH DEEP LEARNING: AN INCEPTIONV3 APPROACH WITH SPATIAL ATTENTION FOR SUSTAINABLE AGRICULTURE AND FOOD SECURITY
This research introduces a sophisticated deep learning framework for automatically identifying diseases in rice leaves by combining the Inception V3 architecture with spatial attention mechanisms. Rice is one of the most important foods in the world, in terms of food security and agricultural economics, so the establishment of efficient disease sur...
By R. Dhanya, S. Mythili
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
SYNTHESIS AND CHARACTERISTICS OF ZNO THIN FILMS DEPOSITED VIA THE SILAR METHOD: IMPACT OF THE NUMBER OF CYCLES
The successive Ionic Layer Adsorption and Reaction (SILAR) process was used to form Zinc Oxide (ZnO) thin films on glass substrates, and deposition cycles of 5, 15, 20, and 25 were used to investigate the effect of the number of cycles on the structural and optical characteristics of the film. The X-ray diffraction (XRD) was determined to be a poly...
By Anwar Qasim Ahmed, Inass Abdulah Zgair, Adel H. Omran Alkhayatt
EXPLORING THE IMPACT OF INFLUENCER REPUTATION ON ONLINE PROSOCIAL BEHAVIOUR: THE SEQUENTIAL MEDIATING ROLES OF PARASOCIAL INTERACTION AND PERCEIVED HOMOPHILY
This study investigates how the reputation of social media influencers affects online prosocial behaviour, focusing on the sequential mediating roles of parasocial interaction and perceived homophily. Grounded in Source Credibility Theory, Parasocial Interaction Theory, the Similarity-Attraction Paradigm, and Social Cognitive Theory, the research a...
By N. Dhivya Lakshmi, Vijayakanthan Selvaraj
THE IMPACT OF CAPITAL STRUCTURE, OPERATIONAL EFFICIENCY, AND NON-INTEREST INCOME ON BANK PROFITABILITY IN VIETNAM
Profitability is considered an important indicator for the safety, efficiency, and sustainability of banking systems. The aim of the study is to remove the confusion concerning the effect of capital structure, operational efficiency, and non-interest income on the profitability of commercial banks in Vietnam. Utilizing quantitative research methods...
By Tran Thi Lan, Hoang Thi Bich Ha, Nguyen Anh Nguyet, Tran Van Hai
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
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