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
THE INFLUENCE OF SOCIAL MEDIA ADVERTISING ON CONSUMER BUYING BEHAVIOUR: A STUDY OF URBAN MILLENNIALS WITH REFERENCE TO THE E-COMMERCE INDUSTRY
The proposed research explores the effects of social media advertisement on consumer purchasing behavior in the Indian e-commerce market among urban millennials. It was done in a quantitative and explanatory manner where primary data was gathered on 372 millennials in Bengaluru, as frequent users of e-commerce websites such as Amazon, Flipkart, Myn...
By C. Nandan, Suresh Ranganathan, Karthik Reddy, S. Ramesh Babu, M. Krishnamoorthi, Venkata Raghu Babu Nallamalli, S. Mahabub Basha
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
IMPROVING DIAGNOSTIC PRECISION AND THERAPEUTIC EMPATHY IN UNDERGRADUATE PSYCHOLOGY TRAINING WITH GENERATIVE AI-DRIVEN CLINICAL PATIENT PERSONAS
The conventional undergraduate psychology programs find it challenging to offer genuine clinical exposure because of the ethical considerations, the high prices of the standardized patients, and the lack of dynamism of the written case studies. The paper addresses the idea of integrating Generative AI (GenAI)-based clinical persona as a modificatio...
By Odiljon Qobilov, Iltifotxon Abdinazarova, Saida Makhkamova, Gulbahor Kholdorova, Mokhira Kuvvatova, Komila Umarova, Gulchexrabonu Isamova
DEVELOPING CROSS-CULTURAL COMMUNICATIVE COMPETENCE IN ADVANCED LANGUAGE LEARNERS THROUGH GENERATIVE AI-BASED SOCIO-PRAGMATIC SUPPORT
This paper examines the effectiveness of Generative AI (GenAI) as a socio-pragmatic aid that can improve Cross-Cultural Communicative Competence (CCCC) in advanced language learners (N = 80). Although such learners may be highly proficient in their language, A so-called pragmatic gap may also be faced in attempts to negotiate complex social interac...
By Temur Irmuxamedov, Jahongirmirzo Maxmudov, Gulshan Ibragimova, Aziza Muminova, Alevtina Muradova, Fotima Safarova, Bayramdurdi Sapaev
A UNIFIED HIERARCHICAL TEMPORAL–GRAPH PHYSICS-GUIDED FUSION NETWORK FOR JOINT FAULT PREDICTION AND CYBER–PHYSICAL INTRUSION DETECTION IN ROBOTIC ARMS
The robotic arms deployed in contemporary Industry 4.0 systems are becoming more and more dependent on interconnected sensors, controllers, and information-driven smartness to accomplish more intricate manufacturing activities. Although predictive techniques of maintenance have enhanced the ability to detect mechanical failures, the systems are sus...
By Balaji Periasamy, P. Rajalakshmy, R. Madhanraj
NEURO EMOTIONAL INTELLIGENCE AS A FRAMEWORK FOR UNDERSTANDING LEADERSHIP PERFORMANCE IN STRESSFUL WORKPLACES
Organizational leaders increasingly need to be able to remain effective at making decisions, controlling their emotions, and being productive with other people, even in times of increased scrutiny. While emotional intelligence has been studied extensively, there has been very little empirical research on how the integration of neuro-emotional capab...
By Majo George, R.S. Lekshmi, V. Sheela Mary, G. Nirmala, M. Amaravathi
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