Published in Theoretical and Applied Climatology, Springer, 2025
This paper presents a machine learning framework incorporating Explainable AI (XAI) techniques to provide accurate and interpretable short-term atmospheric temperature forecasts.
Published in Lecture Notes in Networks and Systems, Springer, 2024
This study provides a comprehensive overview of the Discrete Logarithm Problem (DLP), exploring its mathematical foundations and critical applications in modern cryptographic protocols.
Published in Lecture Notes in Networks and Systems, Springer, 2024
This paper introduces AgroGenie, an intelligent agricultural framework that utilizes machine learning algorithms to optimize crop management and predict environmental factors.
Published in arXiv preprint, 2023
This research details the development of a cost-effective IoT instrument utilizing the NODE MCU-ESP8266 and various sensors to monitor and analyze indoor CO2, temperature, and humidity levels in real-time.