Computer Vision and Machine Intelligence Paradigms for SDGs

Computer Vision and Machine Intelligence Paradigms for SDGs

Select Proceedings of ICRTAC-CVMIP 2021

Thampi, Sabu M.; Kannan, R. Jagadeesh; Wang, Shyh-Hau

Springer Verlag, Singapore

01/2023

339

Dura

Inglês

9789811971686

15 a 20 dias

771

Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Computer Vision;Machine Intelligence;Machine Intelligence Paradigms for SDGs;ICRTAC- CVMIP 2021;ICRTAC Proceedings;Soft Computing Techniques;Computer Vision Paradigms for SDGs;Solutions for Smart Cities;Internet of Things;Brain Human Interfaces;Image/Video Understanding