Details

Subject(s)

• Computational intelligence—Congresses [Browse]

Editor

• Luhach, Ashish Kumar [Browse]

Series

• Advances in Intelligent Systems and Computing [More in this series]
• Advances in Intelligent Systems and Computing ; v.1235 [More in this series]

Source of description

Description based on print version record.

Contents

• Intro
• Preface
• Contents
• About the Editors
• Alleviating the Issues of Recommendation System Through Deep Learning Techniques
• 1 Introduction
• 2 Research Question
• 3 Research Methodology
• 4 Recommendation System
• 5 Issues in Recommendation System
• 5.1 Cold Start Problem
• 5.2 Sparsity
• 5.3 Overspecialization Problem
• 6 Deep Learning Techniques
• 6.1 Convolutional Neural Network (CNN)
• 6.2 Autoencoder (AE)
• 6.3 Multilayer Perceptron
• 6.4 Recurrent Neural Network
• 6.5 Adversial Networks
• 6.6 Attentional Models
• 6.7 Deep Reinforcement Learning (DRL)
• 7 Future Research Direction
• 8 Conclusion
• References
• Communication Assistant Using IoT-Based Device for People with Vision, Speech, and Hearing Disability
• 2 Literature Review
• 3 Proposed System
• 3.1 Data Acquisition
• 3.2 Data Pre-processing
• 3.3 Feature Extraction
• 3.4 System Design and Working
• 4 Experimental Results
• 5 Conclusion
• 6 Future Scope
• An Optimized Object Detection System for Visually Impaired People
• 3 Theoretical Framework
• 4 Proposed Work
• 5 Proposed Algorithm
• 6 Result and Analysis
• 7 Conclusion
• Sentiment Analysis of Zomato and Swiggy Food Delivery Management System
• 3 Methodology
• 3.1 Sentiment Analysis
• 3.2 Data Acquired
• 3.3 Data Pre-processing
• 3.4 Lexicon-Based Approach
• 3.5 Polarity and Subjectivity
• 4 Result
• 6 Future Work
• Text Similarity Identification Based on CNN and CNN-LSTM Model
• 2 Related Work
• 3 Research Approach
• 3.1 Data Collection Phase
• 3.2 Data Preprocessing Phase
• 3.3 Model Design Phase
• 3.4 Evaluation, Results, and Analysis Phase
• 4 Implementation
• 4.1 Data Collection Phase.
• 4.2 Data Preprocessing Phase
• 4.3 Model Design Phase
• 4.4 Evaluation, Results, and Analysis Phase
• Survey Based on Configuration of CubeSats Used for Communication Technology
• 2 Data Collection
• 3 CubeSats Information
• 4 Data Analysis
• 5 Research Motivation on CubeSats
• 6 Conclusion
• Ontology Driven Software Development for Better Understanding and Maintenance of Software System
• 4 Implementation, Result, and Analysis
• Application of Genetic Algorithm (GA) in Medical Science: A Review
• 2 Applications
• 2.1 Cancer Diagnosis
• 2.2 Plastic Surgery
• 2.3 Disease Diagnosis
• 2.4 Cardiology
• 2.5 Diabetes Prediction
• 2.6 Image Segmentation
• 2.7 Gynecology
• 2.8 Radiology
• 2.9 Personalized Health Care
• 2.10 Radiotherapy
• 3 Discussion
• 4 Conclusion
• Designing a Machine Learning Model to Predict Parkinson's Disease from Voice Recordings
• 2 Background
• 2.1 Machine Learning
• 2.2 Parkinson's Disease Dataset
• 2.3 Microsoft Azure Machine Learning
• 3 Methods
• 3.1 Cleaning the Missing Data
• 3.2 Filter-Based Feature Selection
• 3.3 Splitting the Data
• 3.4 Train Model
• 3.5 Scoring the Model
• 3.6 Evaluating the Model
• 4 Results
• 5 Future Improvements
• Prediction Techniques for Maintenance of Marine Bilge Pumps Onboard Ships
• 2 Present Maintenance Philosophy
• 5 Future Scope
• A Systematic Literature Review on Software Development Estimation Techniques
• 2 Significance of Software Estimation
• 3 Related Works
• 4 Software Cost Estimation Methodologies
• 4.1 Algorithmic Methods.
• 4.2 Non-Algorithmic Methods
• 4.3 Machine Learning and Deep Learning Methods
• 5 Accuracy Metrics
• 5.1 Mean Magnitude Relative Error
• 5.2 Mean of Magnitude of Error Relative to the Estimate
• 5.3 Prediction Performance
• 5.4 Mean Absolute Error
• 5.5 Root Mean Square Error
• 5.6 Median Magnitude of Relative Error
• 5.7 Mean Balance Error
• 6 Software Metrics
• 6.1 Process Metrics
• 6.2 Product Metrics
• 6.3 Size of Metrics
• 7 Conclusion and Future Scope
• A Comprehensive Review of Routing Techniques for IoT-Based Network
• 2 Challenges in Routing for IoT-Based Network
• 2.1 Network
• 2.2 Connectivity
• 2.3 Limited Resource
• 2.4 Congestion Control
• 2.5 Deployment of Node
• 3 Routing Protocols in IoT
• 3.1 Establishment of Network
• 3.2 Discovery of Route
• 3.3 Protocol Operations
• 4 Trends in IoT
• 4.1 Top Trends in IoT
• 5 Energy-Efficient Routing Protocols for IOT-Based Network
• Static Hand Sign Recognition Using Wavelet Transform and Convolutional Neural Network
• 2 Related Works
• 3.1 Data Pre-Processing
• 3.2 Feature Extraction
• 3.3 Classification
• 4 Implementation, Results, and Analysis
• 4.1 Data Pre-Processing
• 4.2 Feature Extraction
• 4.3 Classification
• Enhanced A5 Algorithm for Secure Audio Encryption
• 2 A5 Encryption Algorithm
• 3 The Modified A5/1
• 4 Observations
• 5 Proposed Enhanced A5
• Stock Market Prediction Techniques: A Review Paper
• 3 Prediction Methods
• 3.1 Fundamental Analysis
• 3.2 Technical Analysis
• 3.3 Four Basic Components of Valuation of Stock
• 3.4 Machine Learning Methods
• References.
• Survey of Various Techniques for Voice Encryption
• 2 Analysis of Various Research Works for Generation of Pseudo-Random Sequence
• 3 Conclusion
• Identifying K-Most Influential Nodes in a Social Network Using K-Hybrid Method of Ranking
• 3.1 K-Shell Centrality
• 3.2 Batch and K-Batch Value
• 3.3 H-Index Centrality
• 3.4 K-Hybrid Centrality
• 3.5 Selection of Spreaders
• 3.6 SIR Model
• 4 Datasets and Performance Metrics
• 5 Results
• Security Threats in IoT: Vision, Technologies and Research Challenges
• 3 Security Threats in IoT
• 4 IoT Security Using Various Technologies
• 4.1 Blockchain
• 4.2 Fog Computing
• 4.3 Machine Learning
• 4.4 Edge Computing
• 5 Comparison and Discussion
• 6 Research Challenges
• Predict Foreign Currency Exchange Rates Using Machine Learning
• 3.1 Supervised Support Vector Machine
• 3.2 System Design
• 4 Results and Discussions
• 4.1 Dataset
• 4.2 Results
• 4.3 Discussions
• 5 Conclusion and Future Work
• Software Defect-Based Prediction Using Logistic Regression: Review and Challenges
• 2 The Journey of Existing Works
• 3 Threats and Challenges Related to Software Defect-Based Analyzers and Predictors
• 4 Evaluating the Performance Factors
• 5 Concluding Remarks and Future Work
• Evaluation and Application of Clustering Algorithms in Healthcare Domain Using Cloud Services
• 2 Clustering Techniques
• 3 Related Work
• 4 Performance Evaluation Using WEKA Tool
• 5 Use of Cloud Services in Healthcare Domain
• 6 Proposed Work
• 6.1 Logical View of the Process.
• 6.2 Physical View of the Process
• 7 Exposing Clustered Data to Clinicians and Patients
• 8 Conclusion and Future Scope
• Prediction of Stock Movement Using Learning Vector Quantization
• 2 Motivation
• 3 Literature Review
• 4 Methodology
• 4.1 Model
• 5 Experimental Results
• 7 Future Work
• Tree Hollow Detection Using Artificial Neural Network
• 4 Expected Result
• Accident Identification and Alerting System Using ARM7 LPC2148
• 2 Problem Statement
• 3 Literature Survey
• 4.1 Block Diagram
• 4.2 Flowchart
• 4.3 Algorithm
• 4.4 Working Procedure
• 5 Proposed Work
• 6 Components and Figures
• 6.1 LPC2148
• 6.2 Global Positioning System (GPS)
• 6.3 GSM
• 6.4 LCD
• 6.5 MEMS Sensor
• 6.6 MAX232
• 6.7 EEPROM
• 7 Comparison with Our Proposed Work
• 8 Result and Conclusion
• Skin Cancer Detection and Severity Prediction Using Computer Vision and Deep Learning
• 1.1 Actinic Keratosis
• 1.2 Basal Cell Carcinoma
• 1.3 Benign Keratosis
• 1.4 Dermatofibroma
• 1.5 Melanocytic Nevi
• 1.6 Melanoma
• 1.7 Vascular Skin Lesions
• 2 Proposed Methodology
• 2.1 Dataset Preparation
• 2.2 Image Preprocessing
• 2.3 Model Development
• 2.4 Training Model
• 2.5 Severity Approach
• 2.6 One Class Classification
• 3 Result
• 4 Conclusion and Future Scope
• Investigating the Value of Energy Storage Systems on a Utility Distribution Network
• 2 Modelling of the System
• 2.1 System Description
• 2.2 Digsilent Method
• 3 Results and Discussion
• 3.1 Load and Generation Profiles
• 3.2 Results Showing Energy Storage System Integrated to the Network
• 4 Conclusion.

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ISBN

• 981-16-4641-4
• 981-16-4640-6

OCLC

1281983962

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