Machine Learning Approaches to Antique Item Valuation in Online Auction Ecosystems Yuvraj Bansal Volume 2, Issue 5, Pages 1-7, May 2025 The rapid evolution of the Internet of Vehicles (IoV) has enabled intelligent transportation systems through real-time vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-everything (V2X) communication. However, the highly distributed and dynamic nature of IoV networks introduces significant challenges related to security, privacy, data integrity, and trust management. C... Read More Article DOI: doi.org/10.47001/JAIET/2025.205001
Cross-Disciplinary Developments in Intelligent Systems and Their Societal Implications Prasanna Venkatesh S Sudeep Krishna S Balaji Ram J Volume 2, Issue 5, Pages 8-15, May 2025 Intelligent systems integrating machine learning, autonomous agents, cyber-physical platforms, and human-centered artificial intelligence are rapidly transforming industrial operations, governance structures, and everyday social interactions. Recent advances in large-scale foundation models, reinforcement learning, multimodal perception architectures, edge intelligence, and privacy-preserving... Read More Article DOI: doi.org/10.47001/JAIET/2025.205002
Design and Development of a Low-Cost Open-Source Arduino-Based CNC Controller for Special Purpose Machines B.Sri Ram S.Pavithra Ranganathan Volume 2, Issue 5, Pages 16-21, May 2025 Computer Numerical Control (CNC) machining plays a critical role in modern manufacturing by enabling automated and precise control of machine tools such as lathes, milling machines, routers, and grinders. However, commercial CNC systems require substantial initial investment and maintenance costs, making them financially challenging for small-scale industries and educational institutions. Add... Read More Article DOI: doi.org/10.47001/JAIET/2025.205003
Tool Vibration Monitoring in Turning Operation Muniyappan B Kishore Kumar A Volume 2, Issue 5, Pages 22-27, May 2025 Machining operations on conventional lathes are frequently affected by vibration phenomena that degrade surface finish, reduce dimensional accuracy, accelerate tool wear, and may lead to chatter instability. Early detection of excessive vibration is therefore essential to maintain machining quality and prevent mechanical damage. The research titled “Sensor Based Vibration Detection in Lathe... Read More Article DOI: doi.org/10.47001/JAIET/2025.205004
Disease Detection in Oryza sativa Using Image Processing and Machine Learning Mrs. Sundari B Volume 2, Issue 5, Pages 28-34, May 2025 Rice (Oryza sativa) is one of the most important staple crops worldwide, playing a vital role in global food security. However, rice production is significantly affected by various plant diseases that reduce yield and grain quality. Early and accurate detection of these diseases is essential for effective crop management and minimizing economic losses. Traditional disease identification metho... Read More Article DOI: doi.org/10.47001/JAIET/2025.205005
