Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment by Muhammad Hannan Akhtar, Ibrahim Eksheir, Tamer Shanableh

“…The deployment of machine learning models on mobile platforms has ushered in a new era of innovation across diverse sectors, including agriculture, where such applications hold immense promise for empowering farmers with cutting-edge technologies. …”
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Systematic Analysis of Retrieval-Augmented Generation-Based LLMs for Medical Chatbot Applications by Arunabh Bora, Heriberto Cuayáhuitl

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Energy-Aware Machine Learning Models—A Review of Recent Techniques and Perspectives by Rafał Różycki, Dorota Agnieszka Solarska, Grzegorz Waligóra

“…The narrative reinforces the urgency of relentless advancements in energy efficiency across the IT sector, with machine learning and data science leading the charge. …”
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Microcontroller-Based EdgeML: Health Monitoring for Stress and Sleep via HRV by Priyanshu Srivastava, Namita Shah, Kavita Jaiswal

“…The healthcare sector is undergoing a transformation with the integration of cutting-edge technologies such as machine learning (ML), the Internet-of-Things (IoT), and Cyber–Physical Systems (CPS). …”
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Alkafi-llama3: fine-tuning LLMs for precise legal understanding in Palestine by Rabee Al-Qaesm, Mohannad Hendi, Banan Tantour

“…This study addresses the challenges of adapting LLMs to the Palestinian legal domain, where political instability, fragmented legal frameworks, and limited AI resources hinder effective machine-learning applications. We present a fine-tuned model based on a quantized version of Llama-3.2-1B-Instruct, trained on a synthetic data set derived from Palestinian legal texts. …”
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