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001 | 978-981-19-1520-8 | ||
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_a9789811915208 _9978-981-19-1520-8 |
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_a10.1007/978-981-19-1520-8 _2doi |
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_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. |
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300 |
_aXVI, 835 p. 398 illus., 267 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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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 |
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700 | 1 |
_aGoswami, Rajat Subhra. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aBanerjee, Subhasish. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aTanveer, M. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aPachori, Ram Bilas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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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 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c184504 _d184504 |