Mobile Application
Mobile application research currently centers on enhancing user experience, improving development processes, and addressing privacy concerns. Key focus areas include optimizing large language models (LLMs) and other deep learning architectures (like CNNs and Vision Transformers) for on-device performance, leveraging LLMs for tasks such as user review analysis and feature suggestion, and developing privacy-preserving techniques like federated learning. This research is significant because it drives innovation in mobile technology, improves app development efficiency, and enables the creation of more user-friendly and secure applications across diverse domains, from healthcare to agriculture.
Papers
Enhancing IoT based Plant Health Monitoring through Advanced Human Plant Interaction using Large Language Models and Mobile Applications
Kriti Agarwal, Samhruth Ananthanarayanan, Srinitish Srinivasan, Abirami S
LLM-Cure: LLM-based Competitor User Review Analysis for Feature Enhancement
Maram Assi, Safwat Hassan, Ying Zou