Computationally Intelligent Systems and their Applications (Studies in Computational Intelligence, 950)

✍ Scribed by Jagdish Chand Bansal (editor), Marcin Paprzycki (editor), Monica Bianchini (editor), Sanjoy Das (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 171
• Edition: 1st ed. 2021
• Category: Library

✦ Synopsis

This book covers all core technologies like neural networks, fuzzy systems, and evolutionary computation and their applications in the systems. Computationally intelligent system is a new concept for advanced information processing. The objective of this system is to realize a new approach for analyzing and creating flexible information processing of sensing, learning, recognizing, and action taking. Computational intelligent is a part of artificial intelligence (AI) which includes the study of versatile components to empower or encourage savvy practices in intricate and evolving situations. The computationally intelligent system highly relies on numerical information supplied by manufacturers unlike AI. 

✦ Table of Contents

Preface
Contents
Editors and Contributors
Single Identity Clustering-Based Data Anonymization in Healthcare
1 Introduction
2 Data Anonymization Methods
2.1 k-Anonymization
2.2 l-Diversity
2.3 t-Closeness
2.4 Single Identity Clustering
3 Anonymization of Health Data
3.1 Anonymization with k-Anonymity
3.2 Anonymization with l-Diversity
3.3 Anonymization with t-Closeness
3.4 Anonymization with Single Identity Clustering
4 Conclusion
References
Optimization Model for Production Planning: Case of an Indian Steel Company
1 Introduction
2 Literature Review
3 Methodology
3.1 The Planning Process
3.2 The Optimization Model
4 Functional Details
4.1 Import COS Data
4.2 Update Plant Data
4.3 Planning Parameter
5 Optimization Details
5.1 Optimize Production Plan
5.2 Mathematical Formulation
5.3 Optimize Production Sequence
6 Outputs
6.1 Production Plan
6.2 Production Sequence
6.3 Raw Material Plan
7 Conclusion
8 Recommendations
References
Vision-Based User-Friendly and Contactless Security for Home Appliance via Hand Gestures
1 Introduction
2 Related Work of Hand Gesture Recognition in Home Security and Home Automation
3 Proposed Methodology
3.1 First Stage: Design and Training of Region-Based Convolutional Neural Network (RCNN)
3.2 Second Stage: Detection of Region of Interest (ROI) in Test Image
3.3 Third Stage: Centroid Plotting and Password Generation
4 Experimental Results
5 Conclusion
References
Vulnerability Analysis at Industrial Internet of Things Platform on Dark Web Network Using Computational Intelligence
1 Introduction
2 Related Work
3 Computational Intelligence for Analysis Darknet Traffic Data
4 Proposed Methodology
5 Discussion
6 Conclusıon and Future Work
References
Sentiment Analysis of Healthcare Big Data: A Fundamental Study
1 Introduction
2 Background Study
3 Aim and Objectives
4 Sentiment Analysis
4.1 Mining of Emotion and Sentiment Research
4.2 Sentiments Research Approaches
4.3 Social Media Types
4.4 Sentiment Study Findings
5 Review of Sentiment and Health Care Data
5.1 Sentiments of Health Details
5.2 Study in Health Care
5.3 Health Care and Emergency Treatment Sentiment Study
6 Related Works
7 Existing Work Problem
7.1 Identified Problems and Possible Solutions
8 Conclusion
References
A Neuro-Fuzzy based IDS for Internet-Integrated WSN
1 Introduction
2 WSN as Part of IoT
3 Design Taxonomy of WSN–IoT Framework
3.1 Centralized Approach
3.2 Gateway-Based Approach
3.3 TCP/IP-Based Solution
3.4 Topology-Based Integration Approach
4 Security Challenges in the Integration of WSN in IoT
5 Attacks on Different Layers of WSN-Integrated IoT
6 Intrusion Detection System for DoS Attack Detection in WSN
7 A Neuro-Fuzzy-Based IDS for WSN-IoT framework—A Case Study
8 Conclusion
References
Sleep Apnea Detection Using Contact-Based and Non-Contact-Based Using Deep Learning Methods
1 Introduction
2 Related Work
2.1 Head and Torso Detection
2.2 Breathing Rate Estimation
3 Proposed Methodology
4 Optimized CNN and LSTM
5 Data Set Comparison
6 Result and Discussion
7 Contact-Based Sleep Apnea Detection Methods Evaluation
7.1 Non-Contact-Based Sleep Apnea Detection Method
8 Conclusion and Future Work
References
Drift Compensation of a Low-Cost pH Sensor by Artificial Neural Network
1 Introduction
2 Materials and Methods
2.1 The pH Sensor and Its Drift Readings
2.2 ANN Structure for Drift Compensation
3 Results
4 Discussion
5 Concluding Remarks
References
Sentiment Analysis at Online Social Network for Cyber-Malicious Post Reviews Using Machine Learning Techniques
1 Introduction
2 Related Work
3 Proposed Work
3.1 NLTk
3.2 Machine Learning Classifier
3.3 Supervised Learning
3.4 Naive Bayes Classifier
4 Dataset Collection
5 Methodology
6 Implementation
7 Result and Outcomes
8 Conclusion
9 Future Work
References
Analysis of Various Mobility Models and Their Impact on QoS in MANET
1 Introduction
2 Existing Mobility Models
2.1 Random Way Point
2.2 Random Walk-2D
2.3 Random Direction-2D
2.4 Gauss Markov
2.5 Constant Velocity
3 Ad Hoc On-demand Distance Vector Routing Protocol
4 Performance Evaluation
4.1 Simulation Environment
4.2 Simulation Results
5 Discussion and Result
6 Conclusion and Future Work
References
Analysis of Classifier Algorithms to Detect Anti-Money Laundering
1 Introduction
2 Literature Reviews
3 Methodology and Experimental Setup
3.1 Step-1 Data Acquisition
3.2 Step-2 Feature Selection
3.3 Step-3 Divide Dataset
3.4 Step-4 Implement Model
3.5 Step-5 Optimization Model
4 Machine Learning Approaches
4.1 Linear Support Vector Machine
4.2 Decision Tree Classifier
4.3 Results and Analysis
5 Conclusion
References
Design and Development of an ICT Intervention for Early Childhood Development in Minority Ethnic Communities in Bangladesh
1 Introduction
2 Related Works
3 Defining Design Principle
3.1 Focus Group Discussion
3.2 Key Informant Interview
3.3 Findings of the FGD and KII
3.4 Defining User-Specific Design Principle
4 Development of the Application
5 Development and User Study of the Application
6 Conclusion
References