Description
Book SynopsisThis 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.
Table of ContentsPTZ-camera-based facial expression analysis using faster R-CNN for student engagement recognitionConvergence Perceptual Model for Computing Time-Series-Data on Fog-EnvironmentLocalized Super Resolution for Foreground Images using U-Net and MR-CNNSMS Spam Classification Using PSO-C4.5Automated Sorting, Grading of Fruits Based on Internal and External Quality Assessment Using HSI, Deep CNNPest Detection using Improvised YOLO ArchitectureClassification of Fungi Effected Psidium Guajava Leaves using ML and DL TechniquesDeep Learning Based Recognition of Plant DiseasesArtificial Cognition of Temporal Events using Recurrent Point Process NetworksOn the Performance of Energy Efficient Video Transmission over LEACH based protocol in WSNHybridization of Texture Features for Identification of Bi-lingual Scripts from Camera Images at WordlevelAdvanced Algorithmic Techniques for Topic Prediction and Recommendation - An AnalysisImplementation of an automatic EEG feature extraction with Gated Recurrent Neural Network for Emotion Recognition.
