TY - BOOK AU - Sisodia,Dilip Singh AU - Garg,Lalit AU - Pachori,Ram Bilas AU - Tanveer,M. ED - SpringerLink (Online service) TI - Machine Intelligence Techniques for Data Analysis and Signal Processing: Proceedings of the 4th International Conference MISP 2022, Volume 1 T2 - Lecture Notes in Electrical Engineering, SN - 9789819900855 AV - Q342 U1 - 006.3 23 PY - 2023/// CY - Singapore PB - Springer Nature Singapore, Imprint: Springer KW - Computational intelligence KW - Artificial intelligence KW - Application software KW - Computational Intelligence KW - Artificial Intelligence KW - Computer and Information Systems Applications N1 - Acceso multiusuario; On Diverse and Serendipitous item Recommendation: A Reinforced Similarity and Multi-Objective Optimization based Composite Recommendation Framework -- Comparative Analysis of Node Dependent and Node Independent Graph Matrices for Brain Connectivity -- Facial Expression Recognition from low resolution facial segments using Pre-trained networks -- Design and Analysis of Quad Element UWB MIMO Antenna with Mutual Coupling Reduction Techniques -- Enhancing Agriculture Outcome with Multiple Crop Recommendations Using Sequential Forword Feature Selection -- Kernel Level Pruning for CNN N2 - This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, and videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves a valuable resource for those in academia and industry UR - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-0085-5 ER -