UID:
almafu_9961128911702883
Format:
1 online resource (879 pages)
Edition:
1st ed. 2023.
ISBN:
981-9900-85-9
Series Statement:
Lecture Notes in Electrical Engineering, 997
Content:
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.
Note:
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.
Additional Edition:
Print version: Sisodia, Dilip Singh Machine Intelligence Techniques for Data Analysis and Signal Processing Singapore : Springer,c2023 ISBN 9789819900848
Language:
English
DOI:
10.1007/978-981-99-0085-5
