Cutting-edge research contributions from our academic community
This paper presents a novel approach to smart campus management using artificial intelligence and IoT technologies. The system integrates various campus services including attendance tracking, resource optimization, and security management.
This research explores the implementation of blockchain technology for supply chain traceability, analyzing performance metrics and security aspects of decentralized tracking systems.
This paper presents an IoT-based environmental monitoring system for smart cities, focusing on real-time data collection, processing, and analytics for air quality and noise pollution monitoring.
This study compares various machine learning algorithms for renewable energy forecasting, analyzing their accuracy and computational efficiency in predicting solar and wind energy generation.
This paper proposes a comprehensive cybersecurity framework for Industrial IoT systems, analyzing potential threats and providing effective mitigation strategies for secure industrial automation.
This research presents a deep learning approach for COVID-19 detection using chest X-ray images, achieving high accuracy in automated diagnosis and supporting healthcare decision-making.