Details

Subject(s)

• Computer vision [Browse]
• Computational intelligence [Browse]
• Signal processing [Browse]

Series

Advances in intelligent systems and computing ; Volume 1424. [More in this series]

Bibliographic references

Includes bibliographical references and index.

Source of description

Description based on print version record.

Contents

• Intro
• ICICV 2021 Committees
• Preface
• Contents
• About the Editors
• An Efficient Self-embedding Fragile Watermarking Scheme Based on Neighborhood Relationship
• 1 Introduction
• 2 Literature Review
• 3 Proposed Scheme
• 4 Experimental Result and Analysis
• 5 Conclusion
• References
• GeoCloud4EduNet: Geospatial Cloud Computing Model for Visualization and Analysis of Educational Information Network
• 2 Related Works
• 2.1 Cloud Computing
• 2.2 Geospatial Big Data
• 2.3 Educational Information Network
• 3 Proposed Work
• 4 Result and Discussion
• 4.1 Dataset Preparation
• 4.2 Data Visualization
• 4.3 Analysis of Test Case
• Political Polarity Classification Using NLP
• 1 Introduction and Problem Understanding
• 2 Previous Works
• 3 Proposed Algorithm
• 4 Experimental Setup
• 5 Results and Discussion
• 5.1 Bag-Of-Words
• 5.2 Bigrams
• 5.3 Word2Vec
• 5.4 Word2Vec + BOW
• 5.5 Word2Vec + Bigrams
• 5.6 BOW + Bigrams
• 5.7 Mixed Features (BOW + W2V + BIG)
• 6 Conclusion
• Robust Segmentation of Nodules in Ultrasound-B Thyroid Images Through Deep Model-Based Features
• 3 Data
• 3.1 Dataset Description
• 3.2 Ground Truth Mask Generation
• 4 Proposed Methodology
• 4.1 Model Architecture
• 4.2 Experimental Setup
• 5 Training and Results
• 5.1 Verification
• 5.2 Additional Features
• Image Compression Using Histogram Equalization
• 2 Related Research Work
• 3 Proposed Model
• 3.1 Histogram Equalization (HE)
• 3.2 Discrete Wavelet Transform (DWT)
• 3.3 Quantization
• 3.4 Huffman Encoding (HC)
• 3.5 Models Description
• 4 Experimental Result Analysis
• 4.1 Performance Parameters
• References.
• Violence Detection in Video Footages Using I3D ConvNet
• 2 Related Work
• 3 Architecture
• 4 Implementation
• 4.1 Data Pre-processing
• 4.2 Training the I3D Model
• 4.3 Testing the I3D Model
• Performance Analysis of Gradient Descent and Backpropagation Algorithms in Classifying Areas under Community Quarantine in the Philippines
• 2 Related Literature and Studies
• 3 Methods and Procedure
• 3.1 Multilayer Perceptron
• 4 Results and Discussion
• 5 Conclusions
• Least Mean Square Algorithm for Identifying High-risk Areas Vulnerable to Man-Made Disasters: A Philippine Perspective
• 3 Experiment and Methodologies
• Finding Numbers of Occurrences and Duration of a Particular Face in Video Stream
• 2 Literature Survey
• 3 Convolutional Neural Networks (CNN)
• 4 Proposed System
• 4.1 Training Phase
• 4.2 Testing Phase
• 4.3 Count and Duration Phase
• 5 Results and Discussion
• 5.1 Testing
• 5.2 Confusion Matrix (CM)
• 5.3 Report Metric Analysis
• 6 Conclusion and Future Enhancement
• Dynamic Tuning of Fuzzy Membership Function for an Application of Soil Nutrient Recommendation
• 3 Proposed Method
• 3.1 Fuzzy System for Soil Nutrient Recommendation System
• 3.2 Fuzzy PSO Technique and Model Formation
• Representative-Based Cluster Undersampling Technique for Imbalanced Credit Scoring Datasets
• 3.1 K-means Clustering
• 3.2 Compute the Representativeness of Majority Class Instances.
• 3.3 Selecting the Expected Number of Representative Majority Class Instances
• 4.1 Credit Scoring Dataset
• 4.2 Performance Metrics
• 4.3 Parameter Settings
• 5 Results Analysis
• 6 Conclusion and Future Work
• Automatic Road Network Extraction from High-Resolution Images using Fast Fuzzy C-Means
• 2 Methodology
• 2.1 Image Preprocessing using the Median Filter
• 2.2 Road Network Segmentation using FFCM
• 2.3 Shape Feature Analysis
• 3 Experimental Results and Analysis
• 4 Conclusion
• Analysis of Approaches for Irony Detection in Tweets for Online Products
• 3 Proposed Methodology
• 3.1 Data Sanitization
• 3.2 Lexicon-Based Feature Selection
• 3.3 Deep Learning Classification Model Construction
• 3.4 Classification and Prediction
• 3.5 Performance Analysis
• 3.6 Comparison of Results with Basic Models
• 4 Experimental Analysis
• An Efficient Gabor Scale Average (GSA) based PCA to LDA Feature Extraction of Face and Gait Cues for Multimodal Classifier
• 2 Materials and Method
• 2.1 Gabor Wavelets
• 2.2 Gabor Scale Average (GSA) Feature Vectors
• 2.3 Principal Component Analysis (PCA)
• 2.4 Linear Discriminant Analysis (LDA)
• 2.5 GSA Based PCA to LDA Feature Extraction of Face and Gait Cues for Multimodal Classifier
• 3 Results and Discussion
• Stroke-Based Handwritten Gujarati Font Synthesis in Personal Handwriting Style via Shape Simulation Approach
• 3.1 Learning Phase
• 3.2 Generation Phase
• 4 Font Generation
• Kids View-A Parents Companion
• 3 Dataset
• 4 Methodology
• 4.1 Activity Recognition.
• 4.2 Emotion Recognition
• 4.3 Child Abuse Detection
• 5 Result and Analysis
• 5.1 Activity Recognition
• 5.2 Child Abuse Detection
• 5.3 Emotion Recognition
• 6 Conclusion and Future Work
• Computational Operations and Hardware Resource Estimation in a Convolutional Neural Network Architecture
• 2 Background and Related Work
• 3 Experimental Studies
• 3.1 Design an Optimized CNN Model with a Good Accuracy
• 3.2 Computation of Number of Operations in CNN Layers
• 3.3 Suitable Hardware Implementation Process
• 5 Conclusion and Future Work
• Load Balancing in Multiprocessor Systems Using Modified Real-Coded Genetic Algorithm
• 2 Proposed Algorithm for Load Balancing and Minimizing Makespan
• 3 Implementation of the Proposed Algorithm
• 4 Analysis of the Results
• 5 Conclusions and Future Scope
• Robust Image Tampering Detection Technique Using K-Nearest Neighbors (KNN) Classifier
• 2 Existing Image Tampering Detection Schemes
• 3 Proposed Image Tampering Detection Scheme
• 3.1 Preprocessing
• 3.2 Block Tiling
• 3.3 Feature Acquisition and Dimensionality Reduction
• 3.4 Formation of Feature Descriptor Matrix
• 3.5 Image Tampering Prediction Using KNN Classifier
• 4 Experimental Setup and Result Analysis
• LIARx: A Partial Fact Fake News Data Set with Label Distribution Approach for Fake News Detection
• 3 LIARx Data Set
• 3.1 Extending LIAR Data Set
• 3.2 Preprocessing
• 3.3 Creating Partial Fact Data Set
• 3.4 Label Distribution
• 4.1 Label Distribution Learning
• 4.2 Pre-trained Embeddings
• 4.3 Architecture
• 5 Evaluation
• A Block-Based Data Hiding Technique Using Convolutional Neural Network
• 2 Proposed Method
• 3 Experimental Results
• 4 Conclusions
• Energy-Efficient Adaptive Sensing Technique for Smart Healthcare in Connected Healthcare Systems
• 2 Related Literature
• 3.1 Early Warning Score
• 3.2 Emergency Detection of the Patient
• 3.3 Adapting Sensing Frequency
• 4 Results and Discussions
• 4.1 Adaptation of Sensing Rate Versus Data Reduction
• 4.2 Energy Consumption
• 4.3 Data Integrity
• Transfer Learning Approach for Analyzing Attentiveness of Students in an Online Classroom Environment with Emotion Detection
• 4 Method and Implementation
• 5 Result and Discussion
• Prediction of COVID-19 Cases and Attribution to Various Factors Across Different Geographical Regions
• 2 Methods
• 2.1 SHIRD Model
• 2.2 Factor Attribution
• 3 Results
• 4 Discussion
• Emotion Enhanced Domain Adaptation for Propaganda Detection in Indian Social Media
• 2.1 Content-Based Propaganda Detection
• 2.2 Emotion in Propaganda
• 2.3 Domain Adaptation
• 3 Data Set
• 3.1 Background
• 3.2 Source Data Set
• 3.3 Target Data Set
• 4.1 Data Preparation
• 4.2 Model
• 5 Results
• Target Identification and Detection on SAR Imagery Using Deep Convolution Network
• 3 Real-Time Target Detection for SAR Imagery
• 3.1 Dataset
• 3.2 Dataset Annotation
• 3.3 Anchors Selection
• 3.4 One-Stage Detector
• 4 Experimental Results.
• 4.1 Performance Analysis of the Deep Convolution Model.

Show 205 more Contents items

ISBN

981-19-0475-8

OCLC

1319084015

Statement on language in description

Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage. Read more...