Cover image for Computer Vision and Machine Intelligence Paradigms for SDGs Select Proceedings of ICRTAC-CVMIP 2021
Title:
Computer Vision and Machine Intelligence Paradigms for SDGs Select Proceedings of ICRTAC-CVMIP 2021
Author:
Kannan, R. Jagadeesh. editor.
ISBN:
9789811971693
Edition:
1st ed. 2023.
Physical Description:
XVII, 339 p. 162 illus., 131 illus. in color. online resource.
Series:
Lecture Notes in Electrical Engineering, 967
Contents:
PTZ-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.
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