Details

Subject(s)

• Computer security—Congresses [Browse]
• Soft computing [Browse]
• Computer security [Browse]

Editor

• Fernando, Xavier N. [Browse]
• Piramuthu, Selwyn [Browse]
• Ranganathan, G. [Browse]

Series

• Advances in Intelligent Systems and Computing [More in this series]
• Advances in Intelligent Systems and Computing ; v.1428 [More in this series]

Bibliographic references

Includes bibliographical references and index.

Source of description

Description based on print version record.

Contents

• Intro
• Preface
• Contents
• About the Editors
• Smart Question Paper Evaluation: Automated Approach Using the Jaccard Similarity
• 1 Introduction
• 2 Literature Review
• 3 Proposed Approach
• 4 Results
• 5 Conclusion
• References
• Smart Patterns: Searching a Pattern in the Unknown Environment Using Hybrid Framework
• Image Processing Techniques for PCB Board Fault Analysis with Object Extraction and Measurements
• 2 Related Works
• 2.1 Image Processing Application for "E-Waste" Handling
• 3 Imaging Analysis
• 3.1 Missing Holes Detection Using Imaging
• 3.2 Open-Circuit Detection Using Imaging
• 3.3 Short-Circuit Detection Using Imaging
• 4 Result and Discussion
• Gamification of Knowledge Management System: A Framework to Incentivize Knowledge Sharing for the Software Industry
• 2.1 Knowledge Management
• 2.2 Gamification
• 2.3 Gamification and Incentives in KMS
• 2.4 Existing Frameworks of Applying Gamification in Knowledge Management Systems.
• 3 Methodology
• 3.1 Research Method
• 3.2 Data Collection Technique
• 3.3 Sample Size
• 4 Results and Interpretation
• 4.1 Outcome for Research Questions
• 4.2 Proposed Framework for the Gamification of a KMS
• 4.3 Evaluation of Proposed Framework
• Privacy Attributes Aware Framework in Information Disclosure Models for Public During Pandemic
• 2 Related Work
• 3 Privacy Attributes Aware (PAA) Information Disclosure Model
• 4 Experimental Results
• Role of Resource Description Framework in Knowledge Discovery in World Wide Web
• 1.1 Role of RDF in Semantic Web.
• 2 State of Current Research in Semantic Web
• 3 Conceptual Model
• 3.1 Application Architecture
• 4 Experimental Results and Discussions
• 5 Conclusion and Scope for Future Work
• A Comparative Analysis of Deep Learning-Based Frameworks for Face Vitality Detection
• 2 Deep Learning in Face PAD Mechanism
• 2.1 Deep Features-Based Face PAD Models
• 3 Analysis
• 4 Research Observations and Discussions
• 5 Conclusions
• Prediction of Students Programming Performance Using Naïve Bayesian and Decision Tree
• 3 Background
• 3.1 Naïve Bayes
• 3.2 Decision Tree
• 4 Experiment and Result
• 4.1 Data Collection
• 4.2 Preprocessing
• 4.3 Classification
• 4.4 Post-processing
• 5 Conclusion and Future Work
• The Investigation of Network Security, Including Penetrating Threats and Potential Security Measures
• 2 Attack Forms
• 3 Network Security Technologies
• 4 Advanced Security Policies for Networks
• A Review on Rice Quality Analysis
• 2 Methodologies for Rice Quality Analysis
• 2.1 Spectroscopic Techniques
• 2.2 Hyperspectral Imaging
• 2.3 Physio-chemical Properties
• 2.4 Polarimetric Method
• 2.5 Discussion
• 3 Conclusion
• Hybrid MPPT-Based Efficiency Improvement of Renewable Energy System Using Step-Up Converter
• 2 Modeling of PV Cell
• 3 Need for MPP Tracking
• 4 Proposed Hybrid MPP Algorithm
• 5 Simulation Results and Discussion
• 6 Conclusion
• A Review to Enhance Operations in an Airport with a Deep Learning and Computer Vision Approach
• 3 Proposed Methodologies
• 3.1 Face Recognition
• 3.2 Paperless Boarding
• 3.3 Correlating Luggage With Passenger
• 4 Conclusion.
• Comparative Analysis of Diabetes Prediction Using Machine Learning
• 2.1 Support Vector Machine (SVM)
• 2.2 Artificial Neural Network (ANN)
• 2.3 Deep Neural Network (DNN)
• 2.4 Convolutional Neural Network (CNN)
• 3 Result and Discussion
• 4 Conclusion
• A Review on Multiparameter Sensor Design for Biomedical SoC Applications
• 1.1 Cardiovascular Disease Diagnosis Methods
• 1.2 Present Wearable Devices for Cardiovascular Disease Monitoring
• 1.3 Wearable Devices Comparative Analysis
• 2 Biomedical Signal Processing Perspective
• 2.1 Photoplethysmograph (PPG) Signal
• 2.2 PPG Signal Characteristics
• Towards Design of a Novel Android Malware Detection Framework Using Hybrid Deep Learning Techniques
• 3 Proposed Android Malware Detection Framework Using Hybrid Deep Learning Technique
• 3.1 Description of the Pre-processing Stage
• 3.2 Hybrid of the Bidirectional Long Short-Term Memory (BiLSTM) and Merged Sparse Auto-Encoder (MSAE) Deep Learning Models
• 4 Performance Analysis and Discussion
• 4.1 Dataset Description
• 4.2 Results and Discussion
• A Survey: Secure Cloud Data Storage and Access Control System Using Blockchain
• 3 Blockchain Technology: Layered Architecture and Types of Network
• 3.1 Blockchain Layered Architecture
• 3.2 Types of Networks
• 4 Access Control Mechanism for Blockchain Technology
• 4.1 Role-Based Access Control
• 4.2 Attribute-Based Encryption
• 4.3 Ciphertext-Policy Attribute-Based Encryption
• 4.4 Multi-level Security Access Control Model
• 4.5 Dynamic Access Control with Cryptography Enforced
• 5 Conclusion and Future Scope
• References.
• A Rule-Based Adaptive Mobile Application to Learn Android in a Personalized Learning Environment
• 2.1 Personalized Learning
• 2.2 Inference Engine and Rete Algorithm
• 2.3 Critical Appraisal of Existing Systems
• 3 Proposed System
• 3.1 Detailed System Architecture
• 3.2 Algorithm and Logic Used
• Missing Data Imputation Using Ensemble Learning Technique: A Review
• 2 Imputation Techniques
• 2.1 Single Variable Imputation
• 2.2 Multivariable Imputation
• 3 Ensemble Learning
• 4 Ensemble Learning in Bioinformatics
• 5 Evaluation Metrics
• Forensic Analysis of Images on Online Social Network: A Survey
• 2 Literature Survey
• 3 Digital Image Forgery Detection Method
• 3.1 Active Forensics
• 3.2 Passive forensics
• 4 Different Datasets that are Associated with Forgery Detection
• 5 Limitations
• 6 Conclusion and Discussion
• Survey on Heart Disease Prediction Using Machine Learning Techniques
• 2.1 Related Works
• 3 Review on Proposed HD Prediction Using ML Models, Performance Metrics, and the Highest Achievements
• 3.1 Review on Proposed Models
• 3.2 Analysis on Performance Metrics
• 3.3 Analysis on Highest Performance Achievements
• 4 Evaluation on Adopted HD Prediction Using ML Models Along with Chronological Review
• 4.1 Review on Datasets Used for Prediction
• 4.2 Chronological Review
• 5 Features Defined in HD Prediction via ML Models Along with Review of Simulation Tool
• 5.1 Analysis on Extracted Features
• 5.2 Review on Simulation Tool
• 6 Research Gaps and Challenges
• 7 Conclusion
• Machine Learning-Based Forecasting Technique for Crop Yield: A Study
• 1 Introduction.
• 2 Machine Learning Algorithms: An Overview
• 2.1 Single Learning Models
• 2.2 Hybrid Learning Models
• 2.3 Ensemble Learning Models
• 3 Relevant Literature
• 4 Observations
• E-commerce Application with Analytics for Pharmaceutical Industry
• 2 Related Work/Literature Survey
• 2.1 Purpose
• 2.2 Methodology
• 2.3 Unsupervised Learning
• 2.4 Pattern Forecast Process
• Enhanced Crime and Threat Intelligence Hunter with Named Entity Recognition and Sentiment Analysis
• 2 Survey of Existing Cyber Intelligence Tools
• 3 Architectural Design
• 3.1 Crime Type Searching
• 3.2 Domain/IP Searching
• 3.3 Social Media Username Searching
• 3.4 Free Text Searching
• 3.5 Web Crawling and Scraping
• 3.6 Named Entity Recognition
• 3.7 Sentiment Analysis
• 3.8 Knowledge Graph Generation
• 4 System Analysis and Potential Innovations
• 4.1 Interfacing with Multiple Data Sources
• 4.2 Scraping the Deep Web
• 4.3 Training the NER Model
• 5 Limitations and Further Work
• 5.1 Lack of Substantial Training Dataset
• 5.2 Volatility of Deep Web Links
• 5.3 No Mobile Platform and Network Data Stream Support
• Image Steganography for Confidential Communication and Secured Data Storing
• 3 Proposed Model
• 4 Text in Image Steganography
• 5 Lift Haar Wavelet Transform
• 6 AES Encryption
• 7 Decryption
• 8 Results and Discussion
• 9 Conclusion
• Real Time Analysis of Artificial Neural Network-Based Fault Detection and Fault Location in the AC Microgrid
• 2 Artificial Neural Network (ANN)
• 2.1 Back Propagation Neural Network (BPNN)
• 3 AC Microgrid
• 3.1 Faults
• 4 Methodology of Fault Analysis
• 5 Real Time Analysis of Results Using OP4510 RT-LAB.
• 6 Simulation Results.

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ISBN

981-19-3590-4

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