Computer Vision and Machine Intelligence Paradigms for SDGs Select Proceedings of ICRTAC-CVMIP 2021
by
Kannan, R. Jagadeesh. editor.
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.
Added Author
:
Kannan, R. Jagadeesh.
Thampi, Sabu M.
Wang, Shyh-Hau.
Added Corporate Author
:
SpringerLink (Online service)
Electronic Access
:
| Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
|---|
| Online Library | E-Book | 520185-1001 | ONLINE | | Elektronik Kütüphane |