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024 7 _a10.1007/978-981-19-7169-3
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245 1 0 _aComputer Vision and Machine Intelligence Paradigms for SDGs
_h[electronic resource] :
_bSelect Proceedings of ICRTAC-CVMIP 2021 /
_cedited by R. Jagadeesh Kannan, Sabu M. Thampi, Shyh-Hau Wang.
250 _a1st ed. 2023.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2023.
300 _aXVII, 339 p. 162 illus., 131 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v967
505 0 _aPTZ-camera-based facial expression analysis using faster R-CNN for student engagement recognition -- Convergence Perceptual Model for Computing Time-Series-Data on Fog-Environment -- Localized Super Resolution for Foreground Images using U-Net and MR-CNN -- SMS Spam Classification Using PSO-C4.5 -- Automated Sorting, Grading of Fruits Based on Internal and External Quality Assessment Using HSI, Deep CNN -- Pest Detection using Improvised YOLO Architecture -- Classification of Fungi Effected Psidium Guajava Leaves using ML and DL Techniques -- Deep Learning Based Recognition of Plant Diseases -- Artificial Cognition of Temporal Events using Recurrent Point Process Networks -- On the Performance of Energy Efficient Video Transmission over LEACH based protocol in WSN -- Hybridization of Texture Features for Identification of Bi-lingual Scripts from Camera Images at Wordlevel -- Advanced Algorithmic Techniques for Topic Prediction and Recommendation - An Analysis -- Implementation of an automatic EEG feature extraction with Gated Recurrent Neural Network for Emotion Recognition.
520 _aThis book constitutes refereed proceedings of the 4th International Conference on Recent Trends in Advanced Computing - Computer Vision and Machine Intelligence Paradigms for Sustainable Development Goals. This book covers novel and state-of-the-art methods in computer vision coupled with intelligent techniques including machine learning, deep learning, and soft computing techniques. The contents of this book will be useful to researchers from industry and academia. This book includes contemporary innovations, trends, and concerns in computer vision with recommended solutions to real-world problems adhering to sustainable development from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.
650 0 _aArtificial intelligence.
650 0 _aMachine learning.
650 0 _aApplication software.
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 1 4 _aArtificial Intelligence.
650 2 4 _aMachine Learning.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aComputer Engineering and Networks.
700 1 _aKannan, R. Jagadeesh.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aThampi, Sabu M.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWang, Shyh-Hau.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9789811971709
776 0 8 _iPrinted edition:
_z9789811971716
830 0 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v967
856 4 0 _uhttps://doi.org/10.1007/978-981-19-7169-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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