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024 7 _a10.1007/978-981-19-1520-8
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245 1 0 _aPattern Recognition and Data Analysis with Applications
_h[electronic resource] /
_cedited by Deepak Gupta, Rajat Subhra Goswami, Subhasish Banerjee, M. Tanveer, Ram Bilas Pachori.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _aXVI, 835 p. 398 illus., 267 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v888
505 0 _aChapter 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.
520 _aThis 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 theintegration 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). .
650 0 _aComputational intelligence.
650 0 _aArtificial intelligence.
650 0 _aSignal processing.
650 0 _aQuantitative research.
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 1 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence.
650 2 4 _aSignal, Speech and Image Processing.
650 2 4 _aData Analysis and Big Data.
650 2 4 _aComputer Engineering and Networks.
700 1 _aGupta, Deepak.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGoswami, Rajat Subhra.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBanerjee, Subhasish.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTanveer, M.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPachori, Ram Bilas.
_eeditor.
_4edt
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811915192
776 0 8 _iPrinted edition:
_z9789811915215
776 0 8 _iPrinted edition:
_z9789811915222
830 0 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v888
856 4 0 _uhttps://doi.org/10.1007/978-981-19-1520-8
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