... is constructed so that the whole operation can be automated with significant personnel reduction (Pineda-Jaramillo et al., 2020). The methodology for proper data acquisition is being implemented within the project, and specialized machine learning algorithms are being applied to enable the automated...

... author and can be contacted at: sagarwal@iitism.ac.in 26 07 2024 10 12 2024 17 12 2024 © Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Autonomous systems Cyber-physical system Machine learning Mine safety UGV SLAM...

... a light-weight automatic crop disease detection system has been developed, which uses novel combination of residual network (ResNet)-based feature extractor and machine learning algorithm based classifier over a real-time crop dataset. Design/methodology/approach The proposed system is divided...

... Licensed re-use rights only Arrhythmia prediction Electrocardiograms Pivot scale Machine learning Feature engineering In the realm of artificial intelligence, computer-assisted approaches to enhance decision-making in disease diagnosis are still fascinating topics to research. Image...

...Shailesh Khapre; Prabhishek Singh; Achyut Shankar; Soumya Ranjan Nayak; Manoj Diwakar Purpose This paper aims to use the concept of machine learning to enable people and machines to interact more certainly to extend and expand human expertise and cognition. Design/methodology/approach...

... various machine learning algorithms like regression, gradient descent, clustering etc. Findings This paper aims at analyzing the plant growth in of our country and focuses on the improvement of plant growth based on factors such as temperature, air moisture, radiant energy, carbon dioxide levels, soil...