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
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
EVALUATION RATIO OF SHEET PILE LENGTH AND DISTANCE EFFECTS SEEPAGE BENEATH CONCRETE DAMS USING SOFTWARE
Seepage through concrete dams plays an important role in the stability of the foundations due to the fact that high uplift pressures and exit gradients can cause piping, erosion, and ultimately the collapse of the structure. This research focuses on the effect of the position and the depth of the sheet piles on seepage in concrete dams employing a ...
By Alaa Mohsin Dawood, Noor Hashim Abd Almunaf, Hawraa Khalid Hannon, Furqan Wahhab Abdulsada, Melak Haider Almosawy
SELF-ADAPTIVE COGNITIVE AI AGENT FRAMEWORK FOR PERSONALIZED ENGLISH SKILL DEVELOPMENT THROUGH CONTINUOUS LEARNER BEHAVIOUR MODELLING
The current teaching method of foreign languages is more and more adopting the method of using intelligent software to observe the learner's behavior and adapt teaching methods accordingly, but the teaching software currently used in the field of English learning still has many limitations such as relying on rigid rule sets or single-pass learning ...
By Zebo Botirova, Gulnoza Oybekova, Muzayyamkhon Zokirkhonova, Maftuna Rakhmatova, Feruza Erkulova, Rasulbek Ergashev
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