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RT Book, Whole SR Electronic DC OPAC T1 Pattern Recognition and Data Analysis with Applications / edited by Deepak Gupta, Rajat Subhra Goswami, Subhasish Banerjee, M. Tanveer, Ram Bilas Pachori T2 Lecture Notes in Electrical Engineering. ISSN:18761119 A1 Gupta, Deepak A1 Goswami, Rajat Subhra A1 Banerjee, Subhasish A1 Tanveer, M A1 Pachori, Ram Bilas A1 SpringerLink (Online service) YR 2022 FD 2022 SP XVI, 835 p. 398 illus., 267 illus. in color K1 Computational intelligence K1 Artificial intelligence K1 Signal processing K1 Quantitative research K1 Computer engineering K1 Computer networks K1 Computational Intelligence K1 Artificial Intelligence K1 Signal, Speech and Image Processing K1 Data Analysis and Big Data K1 Computer Engineering and Networks ED 1st ed. 2022. PB Springer Nature Singapore : Imprint: Springer PP Singapore SN 9789811915208 LA English (英語) CL LCC:Q342 CL DC23:006.3 NO Chapter 1. Revolutions in Infant fingerprint Recognition-A Survey -- Chapter 2. A Review of High Utility Itemset Mining for Transactional Database -- Chapter 3. A Cross-sectional study on distributed mutual exclusion algorithms for ad hoc networks -- Chapter 4. Electromagnetic Pollution Index Estimation of Green Mobile Communication of Macrocell -- Chapter 5. Prediction of Train delay System in Indian Railways using Machine Learning Techniques: Survey -- Chapter 6. Valence of emotion recognition using EEG -- Chapter 7. A Deep Learning-based Approach for Automated Brain Tumor Segmentation in MR images -- Chapter 8. MZI based Electro-Optic Reversible XNOR/XOR Derived from Modified Fredkin Gate -- Chapter 9. Secured Remote Access of Cloud Based Learning Management System (LMS) Using VPN -- Chapter 10. Surface EMG signal classification for hand gesture recognition -- Chapter 11. Improved Energy Efficiency in Street Lighting: A Coverage based Approach -- Chapter 12. Security and Challenges for Cognitive IOT Based Future City Architecture -- Chapter 13. A Heuristic Model for Friend Selection in Social Internet of Things -- Chapter 14. A Fuzzy string matching based reduplication with morphological attributes -- Chapter 15. Accelerating LOF Outlier Detection Approach. etc NO This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG) and electromyogram (EMG). NO HTTP:URL=https://doi.org/10.1007/978-981-19-1520-8 NO 書誌ID=EB00003657; LK [E Book]https://doi.org/10.1007/978-981-19-1520-8 OL 30