Proceedings of MAiTRI 2023, Volume 2 Verma, Om Prakash. editor. edt http://id.loc.gov/vocabulary/relators/edt Wang, Lipo. editor. edt http://id.loc.gov/vocabulary/relators/edt Kumar, Rajesh. editor. edt http://id.loc.gov/vocabulary/relators/edt Yadav, Anupam. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XVII, 343 p. 161 illus., 136 illus. in color. online resource. The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on Machine Intelligence for Research and Innovations (MAiTRI 2023 Summit), held at Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, India during 1 – 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics. 1. Energy Management System for EV with Multiple Energy Sources -- 2. Comparative Study of Hybrid/Enhanced Nature Inspired Optimization Algorithms for Solar Photovoltaic Model -- 3. A Study on Kerberos and Graphical Password based Web Authentication Scheme -- 4. Unsupervised Clustering of Asphalt Pavement Conditions using Fuzzy C-Means Algorithm with Principal Component Analysis Aided imensionality Reduction -- 5. Prediction of Heart Disease Risk in Early Ages with Boosting Techniques -- 6. Approach on Machine Learning Techniques for Anomaly-Based Web Intrusion Detection Systems: Using CICIDS2017 Dataset -- 7. Design and Development of a Charcoal-Based Sensor for Enhanced Soil Analysis in Precision Agriculture. edited by Om Prakash Verma, Lipo Wang, Rajesh Kumar, Anupam Yadav. Computational intelligence Artificial intelligence Natural language processing (Computer science) Image processing Digital techniques Computer vision Machine learning Computational Intelligence Artificial Intelligence Natural Language Processing (NLP) Computer Imaging, Vision, Pattern Recognition and Graphics Machine Learning Q342 9789819981359 https://doi.org/10.1007/978-981-99-8135-9 https://doi.org/10.1007/978-981-99-8135-9 240112 20251030110920.0 978-981-99-8135-9