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 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

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

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

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

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

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

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

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

Rapid development of digital platforms has led to an abundance of data collected from customers, necessitating the use of intelligent methods that can be used to analyze behavior patterns and aid in making effective Customer Relationship Management (CRM) decisions. Current CRM artificial intelligence systems mainly aim at high prediction accuracy a...

By Reem Abdalla, H Niroshini Infantia