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EBOOKCENTRAL_on1263869169 |
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OCoLC |
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20240329122006.0 |
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m o d |
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210814s2021 xx o ||| 0 eng d |
| 040 |
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|a EBLCP
|b eng
|c EBLCP
|d OCLCQ
|d OCLCL
|d REDDC
|d OCLCO
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| 020 |
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|a 9781119769248
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| 020 |
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|a 1119769248
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| 035 |
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|a (OCoLC)1263869169
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| 050 |
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4 |
|a Q325.5
|b .M334 2021
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0 |
4 |
|a 006.3/1
|q OCoLC
|2 23/eng/20230216
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| 049 |
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|a UAMI
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| 100 |
1 |
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|a Srinivas, Mettu.
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| 245 |
1 |
0 |
|a Machine Learning Algorithms and Applications
|h [electronic resource].
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| 260 |
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|a Newark :
|b John Wiley & Sons, Incorporated,
|c 2021.
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| 300 |
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|a 1 online resource (305 p.)
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| 500 |
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|a Description based upon print version of record.
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| 505 |
0 |
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|a Intro -- Table of Contents -- Title Page -- Copyright -- Acknowledgments -- Preface -- Part 1: Machine Learning for Industrial Applications -- 1 A Learning-Based Visualization Application for Air Quality Evaluation During COVID-19 Pandemic in Open Data Centric Services -- 1.1 Introduction -- 1.2 Literature Survey -- 1.3 Implementation Details -- 1.4 Results and Discussions -- 1.5 Conclusion -- References -- 2 Automatic Counting and Classification of Silkworm Eggs Using Deep Learning -- 2.1 Introduction -- 2.2 Conventional Silkworm Egg Detection Approaches -- 2.3 Proposed Method
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| 505 |
8 |
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|a 2.4 Dataset Generation -- 2.5 Results -- 2.6 Conclusion -- Acknowledgment -- References -- 3 A Wind Speed Prediction System Using Deep Neural Networks -- 3.1 Introduction -- 3.2 Methodology -- 3.3 Results and Discussions -- 3.4 Conclusion -- References -- 4 Res-SE-Net: Boosting Performance of ResNets by Enhancing Bridge Connections -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Preliminaries -- 4.4 Proposed Model -- 4.5 Experiments -- 4.6 Results -- 4.7 Conclusion -- References -- 5 Sakshi Aggarwal, Navjot Singh and K.K. Mishra -- 5.1 Genesis -- 5.2 The Big Picture: Artificial Neural Network
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| 505 |
8 |
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|a 5.3 Delineating the Cornerstones -- 5.4 Deep Learning Architectures -- 5.5 Why is CNN Preferred for Computer Vision Applications? -- 5.6 Unravel Deep Learning in Medical Diagnostic Systems -- 5.7 Challenges and Future Expectations -- 5.8 Conclusion -- References -- 6 Two-Stage Credit Scoring Model Based on Evolutionary Feature Selection and Ensemble Neural Networks -- 6.1 Introduction -- 6.2 Literature Survey -- 6.3 Proposed Model for Credit Scoring -- 6.4 Results and Discussion -- 6.5 Conclusion -- References -- 7 Enhanced Block-Based Feature Agglomeration Clustering for Video Summarization
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| 505 |
8 |
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|a 7.1 Introduction -- 7.2 Related Works -- 7.3 Feature Agglomeration Clustering -- 7.4 Proposed Methodology -- 7.5 Results and Analysis -- 7.6 Conclusion -- References -- Part 2: Machine Learning for Healthcare Systems -- 8 Cardiac Arrhythmia Detection and Classification From ECG Signals Using XGBoost Classifier -- 8.1 Introduction -- 8.2 Materials and Methods -- 8.3 Results and Discussion -- 8.4 Conclusion -- References -- 9 GSA-Based Approach for Gene Selection from Microarray Gene Expression Data -- 9.1 Introduction -- 9.2 Related Works -- 9.3 An Overview of Gravitational Search Algorithm
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| 505 |
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|a 9.4 Proposed Model -- 9.5 Simulation Results -- 9.6 Conclusion -- References -- Part 3: Machine Learning for Security Systems -- 10 On Fusion of NIR and VW Information for Cross-Spectral Iris Matching -- 10.1 Introduction -- 10.2 Preliminary Details -- 10.3 Experiments and Results -- 10.4 Conclusions -- References -- 11 Fake Social Media Profile Detection -- 11.1 Introduction -- 11.2 Related Work -- 11.3 Methodology -- 11.4 Experimental Results -- 11.5 Conclusion and Future Work -- Acknowledgment -- References
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| 500 |
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|a 12 Extraction of the Features of Fingerprints Using Conventional Methods and Convolutional Neural Networks.
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 650 |
|
0 |
|a Computer algorithms.
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| 650 |
|
0 |
|a Deep learning.
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| 650 |
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0 |
|a Machine learning.
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| 650 |
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6 |
|a Algorithmes.
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| 650 |
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6 |
|a Apprentissage automatique.
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| 650 |
|
7 |
|a algorithms.
|2 aat
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| 700 |
1 |
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|a Sucharitha, G.
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| 700 |
1 |
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|a Matta, Anjanna.
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| 758 |
|
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|i has work:
|a Machine Learning Algorithms and Applications (Text)
|1 https://id.oclc.org/worldcat/entity/E39PD3gcgbhRW9Fm9GJY8j4bYd
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|a Srinivas, Mettu
|t Machine Learning Algorithms and Applications
|d Newark : John Wiley & Sons, Incorporated,c2021
|z 9781119768852
|
| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6697071
|z Texto completo
|
| 938 |
|
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|a ProQuest Ebook Central
|b EBLB
|n EBL6697071
|
| 994 |
|
|
|a 92
|b IZTAP
|
