Computer vision and machine intelligence paradigms for SDGs : select proceedings of ICRTAC-CVMIP 2021 /

Computer vision and machine intelligence paradigms for SDGs : select proceedings of ICRTAC-CVMIP 2021 /

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This 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 intelligen...

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Bibliographic Details
Corporate Author: International Conference on Recent Trends in Advanced Computing, Computer Vision and Machine Intelligence Paradigms for Sustainable Development Goals
Other Authors: Jagadeesh Kannan, R. (Editor), Thampi, Sabu M. (Editor), Wang, Shyh-Hau (Editor)
Format: Conference Proceeding Book
Language:English
Published: Singapore : Springer, 2023
Singapore : [2023]
Series:Lecture Notes in Electrical Engineering
Lecture notes in electrical engineering ; v. 967
Subjects:
Artificial intelligence > Congresses
Artificial intelligence
Computer vision > Congresses
Sustainable development > Congresses
Table of Contents:
  • Intro
  • Preface
  • Contents
  • Editors and Contributors
  • PTZ-Camera-Based Facial Expression Analysis using Faster R-CNN for Student Engagement Recognition
  • 1 Introduction
  • 2 Related Work
  • 2.1 Contribution and Objective
  • 3 Methodology
  • 3.1 Face Detection using YOLO Detector
  • 3.2 Detection of Landmark Points using Ensemble of Robust Constrained Local Models (CLM)
  • 3.3 Affine Transformation
  • 3.4 Face Expression Recognition using Faster R-CNN (Faster Regions with Convolutional Neural Network)
  • 4 Results and Discussion
  • 4.1 Performance Analysis
  • 5 Conclusion
  • References
  • Convergence Perceptual Model for Computing Time Series Data on Fog Environment
  • 1 Introduction
  • 1.1 Goals Aimed at the Convergence Fog Model
  • 1.2 Fog for Time-Series Computing
  • 1.3 Proposed Convergence Perceptual Architecture
  • 1.4 Perceptual Layer on CPM
  • 2 Conclusion
  • References
  • Localized Super Resolution for Foreground Images Using U-Net and MR-CNN
  • 1 Introduction
  • 2 Literature Survey
  • 3 Proposed Architecture
  • 4 Implementation and Training
  • 4.1 Dataset and Augmentation
  • 4.2 Model Architecture
  • 4.3 Loss Function and Optimizer
  • 4.4 Training
  • 5 Evaluation Metrics
  • 5.1 PSNR-Peak Signal-To-Noise Ratio
  • 5.2 SSIM-Structural Similarity Index
  • 5.3 Universal Image Quality Index
  • 6 Results and Discussion
  • 7 Conclusion and Future Work
  • References
  • SMS Spam Classification Using PSO-C4.5
  • 1 Introduction
  • 2 Problem Statement
  • 3 Research Objective
  • 4 Review of Literature
  • 4.1 Review of Text-Processing
  • 4.2 Review on Feature Extraction
  • 4.3 Review on Feature Selection
  • 4.4 Review on Classifiers
  • 5 Research Contribution
  • 6 Data Collection and Data Sampling
  • 7 Experimental Results
  • 8 Conclusion and Future Enhancement
  • References
  • 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
  • 2.1 Power Limit Indicator System (PLIS)
  • 2.2 PLIS Basic Flow
  • 3 Review and Analysis of Power Consumption Systems
  • 4 Conclusion
  • References
  • A Novel Hand Gesture Recognition for Aphonic People Using Convolutional Neural Network
  • 1 Introduction
  • 2 Proposed Methodology
  • 2.1 Binarization
  • 2.2 Contour Detection
  • 2.3 Feature Extraction Using Sift Algorithm
  • 2.4 Classification Using Convolutional Neural Network
  • 3 Experimental Results
  • 4 Conclusion and Future Enhancement
  • References
  • Comprehensive Analysis of Defect Detection Through Image Processing and Machine Learning for Photovoltaic Panels
  • 1 Introduction
  • 1.1 Photovoltaic Panels
  • 1.2 Defects in Photovoltaic Panels
  • 2 Fault Identification System
  • 2.1 Image Processing-Based Defect Identification
  • 2.2 Machine Learning-Based Defect Identification
  • 2.3 Deep Learning-Based Defect Identification
  • 3 Experimental Results and Analysis
  • 3.1 Canny Edge Detector
  • 3.2 Support Vector Machine
  • 3.3 AlexNet
  • 4 Conclusion and Discussions
  • References
  • Covid Analysis Prediction Using Densenet Method in Deep Learning
  • 1 Introduction
  • 2 Related Work
  • 3 Methodologies
  • 3.1 DenseNet
  • 4 Proposed Work
  • 4.1 Need for Covıd Detectıon
  • 4.2 Dataset
  • 4.3 Server Creatıon
  • 4.4 Identıfıcatıon of Covıd
  • 4.5 System Architecture
  • 5 Implementation and Results
  • 6 Conclusion and Future Enhancement
  • References
  • Feature Extraction Based on GLCM and GLRM Methods on COVID-19 Dataset
  • 1 Introduction
  • 2 Literature Review
  • 3 Proposed Methodology
  • 3.1 Feature Extraction
  • 3.2 Gray Level Co-Occurrence Matrixes
  • 3.3 Gray Level Run Length Matrix
  • 4 Classification Techniques
  • 5 Results and Discussion
  • 5.1 Performance Measures Parameters
  • 6 Conclusion
  • References
  • 6.2 Predicting Tumor
  • 6.3 Training and Validation
  • 7 Conclusion
  • References
  • Mining Suitable Symptoms to Identify Disease Using Apriori and NBC
  • 1 Introduction
  • 2 Review of Literature
  • 3 Association Rule Mining
  • 4 Proposed Work
  • 4.1 Apriori Algorithm
  • 5 Conclusion
  • References
  • Background Features-Based Novel Visual Ego-Motion Estimation
  • 1 Introduction
  • 1.1 Related Work
  • 2 Algorithm
  • 2.1 System Overview
  • 2.2 Steerable Pyramid Transformation (SPT)
  • 2.3 Keypoint Detection and Matching
  • 2.4 Ransac
  • 3 Experimental Results
  • 4 Conclusion
  • References
  • Livspecs: Design and Implementation of Smart Specs for Hearing and Visually Challenged Persons
  • 1 Introduction
  • 2 Literature Survey
  • 3 Proposed System
  • 4 Result and Discussion
  • 5 Conclusion
  • References
  • Self-balancing Robot Using Arduino and PID Controller
  • 1 Introduction
  • 2 Related Works
  • 3 Proposed Methodology
  • 3.1 Block Diagram of the Two-Wheeled Robot
  • 3.2 Working Principle
  • 3.3 Control Action
  • 4 Results and Discussion
  • 5 Conclusion
  • References
  • A Survey Based on Online Voting System Using Blockchain Technology
  • 1 Introduction
  • 2 Background
  • 2.1 Overview of Computerized Voting System
  • 2.2 Blockchain Technology
  • 2.3 Analysis of Ethereum
  • 3 Comparative Study of Blockchain-Based Electronic Voting Plans
  • 4 Discussion
  • 5 Conclusion and Future Work
  • References
  • Survey on Collaborative Filtering Technique for Recommender System Using Deep Learning
  • 1 Introduction
  • 2 Recommender Systems
  • 2.1 Deep Learning-Based Recommendation Systems
  • 2.2 Deep Collaborative Filtering Techniques
  • 2.3 Datasets
  • 3 Recommendation System Applications
  • 4 Conclusion
  • References
  • A Survey on Power Consumption Indicator Using Machine Learning-Based Approach
  • 1 Introduction
  • 2 System Description
  • Automated Sorting, Grading of Fruits Based on Internal and External Quality Assessment Using HSI, Deep CNN
  • 1 Introduction
  • 2 Related Works
  • 3 Overview of Proposed Idea
  • 3.1 Preprocessing
  • 3.2 Segmentation
  • 3.3 CNN Model Development
  • 4 Experimental Results and Discussion
  • 4.1 Experimental Setup
  • 4.2 Performance Measures
  • 4.3 Experimental Results
  • 5 Conclusion
  • References
  • Pest Detection Using Improvised YOLO Architecture
  • 1 Introduction
  • 2 Literature Review
  • 2.1 Pest Detection Methods
  • 2.2 Pest Classification Methods
  • 3 YOLO V3 Architecture
  • 4 Improvised YOLO V3 Architecture
  • 5 Results and Discussions
  • 6 Conclusion
  • References
  • Classification of Fungi Effected Psidium Guajava Leaves Using ML and DL Techniques
  • 1 Introduction
  • 2 Literature Survey
  • 3 Overview of Database
  • 4 Proposed Method/Model
  • 4.1 Classification Using Deep Learning Techniques
  • 5 Experimental Results
  • 5.1 Experimental Results Using Deep Learning Techniques
  • 6 Comparative Analysis
  • 7 Conclusions
  • References
  • Deep Learning Based Recognition of Plant Diseases
  • 1 Introduction
  • 2 Literature Review
  • 3 Scope
  • 4 Methodology
  • 4.1 Procedure
  • 4.2 Library
  • 5 Results and Findings
  • 6 Discussion
  • 7 Conclusion
  • 8 Future Scope
  • 9 Recommendation
  • References
  • Artificial Cognition of Temporal Events Using Recurrent Point Process Networks
  • 1 Introduction
  • 2 Recurrent Point Process Network
  • 2.1 Recurrent Neural Network
  • 2.2 Interoperability and Prediction Module
  • 2.3 Point Processes Equations
  • 3 Automated Data Relation Process
  • 3.1 Model Creation
  • 3.2 Training Phase
  • 3.3 Testing Phase
  • 3.4 Anomaly Detection
  • 3.5 Visualization
  • 4 Temporal Variation Samples
  • 4.1 Synchronous Event
  • 4.2 Asynchronous Event
  • 5 Conclusion
  • References
  • Memory Augmented Distributed Monte Carlo Tree Search Algorithm-Based Content Popularity Aware Content Recommendation Using Content Centric Networks
  • Performance Analysis of Energy Efficient Video Transmission Using LEACH Based Protocol in WSN
  • 1 Introduction
  • 2 Related Work
  • 3 Problem Statement and Our Contribution
  • 4 LEACH Based Routing Protocol
  • 5 Video Transmission Over WSN
  • 6 Experimental Result
  • 7 Conclusion
  • References
  • Hybridization of Texture Features for Identification of Bi-Lingual Scripts from Camera Images at Wordlevel
  • 1 Introduction
  • 2 Review of Literature
  • 3 Proposed Method
  • 3.1 Creation of LBP Image
  • 3.2 Extraction of GLCM Feature from LBP Image
  • 3.3 Extraction HOG Feature from LBP Image
  • 3.4 Combined Feature Vector of GLCM and HOG from LBP Image
  • 4 Experimental Results and Discussion
  • 4.1 Results and Discussion
  • 5 Conclusion
  • References
  • Advanced Algorithmic Techniques for Topic Prediction and Recommendation-An Analysis
  • 1 Introduction
  • 2 Proposed Model
  • 2.1 Hashtag-Based Approach
  • 2.2 Word Ranking Based Approach
  • 2.3 Authority Weighting Based Approach
  • 2.4 Background Tweet Detection-Based Approach
  • 2.5 Short-Term Fluctuation Modeling Based Approach
  • 3 Results and Discussion
  • 4 Conclusion
  • References
  • Implementation of an Automatic EEG Feature Extraction with Gated Recurrent Neural Network for Emotion Recognition
  • 1 Introduction
  • 2 Related Study
  • 3 Methodology
  • 3.1 Preprocessing
  • 3.2 Feature Extraction
  • 3.3 Classifier
  • 4 Results and Discussions
  • 4.1 Dataset
  • 4.2 Implementation
  • 5 Conclusion
  • References
  • High Performance Classifier for Brain Tumor Detection Using Capsule Neural Network
  • 1 Introduction
  • 2 Methods
  • 2.1 Convolutional Neural Network
  • 2.2 Capsule Networks
  • 3 Literature Survey
  • 4 Proposed Model
  • 4.1 Capsule Network Model Creation
  • 4.2 Prediction
  • 5 Proposed Algorithm
  • 5.1 Prediction Through Flask Framework
  • 6 Results and Discussions
  • 6.1 Accuracy

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