Details

Subject(s)

• Computational intelligence—Congresses [Browse]
• Artificial intelligence—Congresses [Browse]

Editor

• Reddy, V. Sivakumar [Browse]

Series

• Advances in intelligent systems and computing ; Volume 1340. [More in this series]
• Advances in Intelligent Systems and Computing ; Volume 1340

Source of description

Description based on print version record.

Contents

• Intro
• Conference Committee
• Preface
• Contents
• About the Editors
• Artificial Intelligence with New Approach of Concrete Ingredients Changing in the Exact Proportions
• 1 Introduction
• 2 Literature Review
• 3 Materials Used
• 3.1 Admixture
• 3.2 Cement
• 3.3 Fine Aggregate
• 3.4 Course Aggregate
• 3.5 Water
• 3.6 Super Plasticizer
• 4 Methodology
• 4.1 Reading for Specimens
• 4.2 Calculation
• 5 Experimental Result
• 6 Conclusion
• References
• A New Approach in Cloud Environment to Improve Data Security Using Multiple Bits
• 3 Proposed Technique
• 3.1 Algorithm for Embedding of Message
• 3.2 Algorithm for Repossession of Message
• 4 Experimental Results and Analysis
• 5 Conclusion and Future Scope
• Clustering Text: A Comparison Between Available Text Vectorization Techniques
• 2 Previous Literature
• 3 Dataset
• 3.1 Collection
• 3.2 Filtering
• 3.3 Pre Processing
• 4.1 TFIDF
• 4.2 Doc2Vec
• 4.3 Clustering Techniques
• 4.4 Performance Evaluation
• 5 Results
• Evaluating Deep Neural Network Ensembles by Majority Voting Cum Meta-Learning Scheme
• 2 Combining the Results of Independent Learners
• 3 Proposed Ensemble Approach
• 4 Results
• 5 Conclusion
• Virtual Mouse Control Using Finger Action
• 2 Existing System
• 3 Proposed System
• 4 Proposed Algorithm
• 4.1 Actions Performed Using Speech Recognition
• 4.2 Task Performed Using Speech Reorganization
• 5 Implementation
• A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning
• 2 Related Work
• 3 Proposed Hybrid Model
• 3.1 Methodology
• 3.2 Feature Extraction and Normalization.
• Neural Abstractive Text Summarizer for Telugu Language
• 3 Approach
• 3.1 Recurrent Neural Network Encoder-Decoder
• 4 Training
• 5 Evaluation
• 6 Conclusions
• OCR-Based Assistive System for Blind People
• 2 Literature Survey
• 4 Workflow
• 5 Hardware Components
• 6 Software Used
• 7 OCR
• 8 Tesseract
• 9 Text to Speech (TTS)
• 10 Results
• 11 Billing Description and Output
• 12 Conclusion
• Modern Privacy Risks and Protection Strategies in Data Analytics
• 1.1 Privacy and Privacy Threats
• 2 Privacy Preservation Methods
• An Approach Toward Deep Learning-Based Facial Expression Recognition in Wavelet Domain
• 2 Related Works
• 3 The Proposed Framework
• 3.1 Face Processing
• 3.2 Feature Representation Using DWT
• 3.3 Expression Recognition Using CNN
• 4 Experimental Results and Discussions
• 5 Conclusions
• Modified UNet Architecture with Less Number of Learnable Parameters for Nuclei Segmentation
• 2 Methodology
• 2.1 UNet
• 2.2 Segnet
• 3 Experiments and Results
• 3.1 Dataset Description
• 3.2 Results and Discussions
• 4 Conclusion
• Classification of Diseases Using CBC
• 2 Review of Literature
• 3 Implementation
• 3.1 Data Pre-Processing
• 3.2 Model Training
• 3.3 Evaluation of Model
• 3.4 Machine Learning Algorithms
• 3.5 Analysis of the Model
• 4 Experimental Results and Performance Analysis
• Post-earthquake Building Damage Detection Using Deep Learning
• 3.1 Preprocessing
• 3.2 Network Architecture
• 3.3 Jaccard Index.
• 3.4 Dice Coefficient
• 4 Experiments and Setup
• 4.1 Dataset
• 4.2 Setup
• 4.3 Parameters
• 4.4 Analysis
• Ensemble of Deep Transfer Learning Models for Parkinson's Disease Classification
• 2.1 Architectural Performance
• 2.2 Ensemble Method
• 2.3 Dataset
• 3 Results and Discussion
• 3.1 Experimental Results from Commonly Used Deep Learning Architectures
• 3.2 Experimental Results from the Proposed Ensemble Model
• Energy-Efficient Clustering in Real-World Wireless Sensor Networks: Implementation
• 3 Clustering in Real-World WSNs
• 4 Energy Efficient Clustering: Optimal Cluster Head Selection
• 5 Hopcount Matrix: Properties
• 6 Implementation, Results and Discussions
• 7 Conclusions
• Customer Feedback Through Facial Expression Recognition System Using Neural Network
• 3 Methodology
• 3.1 Image Data Collection
• 3.2 Data Preprocessing
• 3.3 Model Selection and Training
• 4 Models for Facial Expression Recognition
• 4.1 CNN
• 4.2 VGG16
• 4.3 VGG19
• 5 Transfer Learning
• 6 Result and Analysis
• 6.1 Final Results on Real-Time Faces
• 7 Conclusion
• Taxi Demand Prediction Using LSTM and Optimized Taxi Geo-distribution
• 3 Implementation of Location and Time-Based Taxi Demand Prediction
• 3.1 Data Preparation
• 3.2 Time Binning
• 3.3 Feeding the Input to the LSTM Model
• 3.4 Training the Model
• 3.5 Testing the Model
• 4 Proposed Rank-Based Optimized Algorithm for Driver Mapping
• 4.1 Driver-Demand Check
• 4.2 Construction of Rank Table
• 4.3 Driver Mapping Using Rank Table
• 4.4 Mapping Optimization
• References.
• Container ID Detection and Recognition
• 3 Technical Details
• 3.1 Architecture of the System
• 3.2 Data Collection
• 3.3 Data Preprocessing
• 4 Detection Module
• 4.1 Container Detection
• 4.2 Text Detection
• 4.3 Character Detection
• 5 Classification Module
• 6 Experimental Results
• 7 Performance Analysis
• 8 Summary
• Autonomous Flying Using Deep Reinforcement Learning
• 3 Experimental Setup
• 3.1 Virtual Environment
• 3.2 Quadcopter
• 3.3 Deep Deterministic Policy Gradient
• 5 Results and Conclusion
• Detecting Surface Cracks on Buildings Using Computer Vision: An Experimental Comparison of Digital Image Processing and Deep Learning
• 3.1 Data Acquisition
• 3.2 Building the Classifier
• 3.3 Evaluation
• 3.4 Interpretation
• 4 Experimental Results
• 4.1 The DIP-Based Approach Performance
• 4.2 The Deep Learning-Based Approach
• 4.3 Performance on Dataset 4
• 6 Future Scope of Work
• 7 Declaration
• A Survey on Preserving Data Confidentiality in Cloud Computing Using Different Schemes
• 3 The Objective of the Study
• 4 Results and Comparisons
• Deep Learning-Based Approach for Human Activity Recognition
• 3 Problem Definition
• 4 Proposed System
• 4.1 Mathematical Foundation
• 4.2 Proposed Model
• 5 Performance Analysis and Result
• 6 Conclusion and Future Scope
• Vuln-Check: A Static Analyzer Framework for Security Parameters in Web
• 3 Proposed Work
• 3.1 Recon Phase
• 3.2 Scanning
• 3.3 Enumeration
• 3.4 Static Analyzer Phase.
• 3.5 Reporting
• 4 Experimental Setup and Results
• 5 Comparative Analysis
• Concept Drift Detection Using Minimum Prediction Deviation
• 3 Minimum Prediction Deviation
• 3.1 Bootstrapping Samples
• 3.2 Uncertainty
• 3.3 Minimum Prediction Deviation Score
• 5 Experiments
• 5.1 Datasets
• 5.2 Experimental Setup
• 6 Results and Discussion
• 7 Conclusion and Future Work
• An Interactive System for Assessing Emotional Wellness
• 3 Architecture Overview
• 4 Implementation
• 4.1 Anxiety Test Questionnaire
• 4.2 Fuzzification
• 4.3 Rule base
• 4.4 Rule Evaluation and Aggregation
• 4.5 Defuzzification
• Performance Analysis of Genetic Algorithm for Function Optimization in Multicore Platform Using DEAP
• 3 Genetic Algorithm for Function Optimization Using Multicore Platform
• 3.1 Multicore Platform
• 3.2 Distributed Evolutionary Algorithms in Python (DEAP)
• 3.3 Genetic Algorithm for Function Optimization Using Multicore Platform
• 3.4 Benchmark Functions and Parameter Settings
• 4 Experimental Analysis
• 4.1 Experimental Setup and Parameter Setting
• 4.2 Performance Analysis of Genetic Algorithm for Function Optimization in Single and Multicore Platforms for Function with Fixed Variables
• 4.3 Performance Analysis of Genetic Algorithm for Function Optimization in Single and Multicore Platforms for Function with Variable Dimensions
• Various Image Modalities Used in Computer-Aided Diagnosis System for Detection of Breast Cancer Using Machine Learning Techniques: A Systematic Review
• 2.1 Data Extraction
• 3 Results.
• 3.1 Imaging Modalities.

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ISBN

• 981-16-1249-8
• 981-16-1248-X

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