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
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
LEXICOGRAPHIC BI-OBJECTIVE OPTIMIZATION FOR FRACTIONAL ORDER CONTROLLER TUNING IN GRID-CONNECTED STATCOM APPLICATIONS
Static Synchronous Compensators (STATCOMs) require precise controller tuning to maintain voltage stability in modern power grids. Fractional Order Proportional-Integral (FOPI) controllers offer enhanced flexibility over integer-order designs, yet existing tuning methods rely on weighted-sum formulations that conflate conflicting objectives through ...
By Rafid Ali Ridha Ibrahim, Anuar Mikdad Muad, Yushaizad Yusof
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
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
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
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
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
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