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 STUDY ON NEUROPEDAGOGICAL FOUNDATIONS AND DIDACTIC APPROACHES FOR DEVELOPING EMOTIONAL COMPETENCE IN PRE-SERVICE TEACHERS
The growing awareness of emotional competence as a key professional skill for effective teaching stands in stark contrast to the prevailing priorities of cognitive and disciplinary knowledge acquisition in early teacher training programs. The paper explores the neuropedagogical dimensions of emotional competence and outlines didactic practices comp...
By Dilshoda Mubarakova, Dildor Eshmuratova, Sanobar Shadmanova, Nilufar Khodjaeva, Zulfiya Mamarajabova, Bahodir Kandov, Aynura Bekjanova
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
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
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