Future Research Directions in Computational Intelligence: Selected Papers from the 3rd EAI International Conference on Computational Intelligence and ... Innovations in Communication and Computing)

✍ Scribed by Manolo Dulva Hina (editor), Seyedali Mirjalili (editor), Amar Ramdane-Cherif (editor), Rafik Zitouni (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 123
• Category: Library

✦ Synopsis

This book presents select papers from 3rd EAI International Conference on Computational Intelligence and Communications (CICom 2022). The papers reveal recent advances in the broader domains of Computational Intelligence including (1) automation, control, and intelligent transportation system, (2) big data, internet of things, and smart cities, (3) wireless communication systems and cyber security and (4) human/brain-computer interfaces, and image and pattern recognition. The book demonstrates complex real-world problems in which mathematical or traditional modellings are not the preferred solution, hence alternative solutions are needed. This collection of applications demonstrates the important advances in computational intelligence. The book chapters’ present various ideas that will benefit researchers, graduate students and engineers in this domain.

✦ Table of Contents

Preface
CICom 2022 Organization
Contents
About the Editors
Part I Computational Intelligence for All
1 Multilingual Context-Aware Chatbots for Multi-domain Test Data Generation
1.1 Introduction
1.2 Models for Natural Language Generation and Data Sets
1.2.1 Data Sets
1.2.2 Models
1.3 Chat Generation Framework
1.3.1 Test Data Generation
Chat Generation
Adjusting the Language Level
Injection of Domain-Specific Chats
Translation to Other Languages
1.3.2 Data Formatting
Instant Messaging APIs
Synthesizing Speech
1.4 Evaluation
1.4.1 Qualitative Analysis of the Generated Chats
1.4.2 Applicability of the Generated Data Formats
1.5 Conclusion
References
2 Understanding Responses to Embarrassing Questions in Chatbot-Facilitated Medical Interview Conversations Using Deep Language Models
2.1 Introduction
2.2 Colon Health Chatbot
2.2.1 Chatbot Design
2.2.2 Data Collection and Content Analysis
2.3 Exploring Medical Interview Conversations
2.3.1 Level of Detail
2.3.2 Self-Disclosure
2.4 Classification and Results
2.4.1 Language Models: BERT and GPT-3
2.4.2 Results: Level of Detail
2.4.3 Results: Self-Disclosure
2.5 Conclusion and Discussion
References
3 An Enhanced White Shark Optimization Algorithm for Unmanned Aerial Vehicles Placement
3.1 Introduction
3.2 UAV Placement Network Model and Problem Formulation
3.3 Preliminaries
3.3.1 White Shark Optimizer Algorithm
3.3.2 Elite Opposition-Based Learning
3.4 Elite Opposition-Based White Shark Optimization Algorithm for UAVs Placement
3.4.1 Initialization
3.4.2 Evaluation
3.4.3 Update
3.4.4 Termination
3.5 Numerical Results
3.5.1 Impact of Varying the Number of UAVs
3.5.2 Impact of Varying the Number of Users
3.6 Conclusion
References
4 Computer-Aided Diagnosis Based on DenseNet201 Architecture for Psoriasis Classification
4.1 Introduction
4.2 The Transfer-Learning-Based DenseNet201 Model
4.3 Related Work
4.4 The Proposed Computer-Aided Psoriasis Diagnosis System
4.4.1 Psoriasis Image Preparation
4.4.2 Psoriasis Image Sampling
4.4.3 Deep Neural Network Model Training
4.4.4 Psoriasis Image Classification
4.5 Experimental Study
4.5.1 Dataset Description
4.5.2 Empirical Parameter Setting
4.5.3 Performance Evaluation
4.5.4 Results and Discussion
4.6 Conclusion
References
Part II New Perspectives in Computational Intelligence
5 A Novel Embryonic Cellular Architecture with BIST for Deep Space Systems
5.1 Introduction
5.1.1 Embryonics: Emerging Trend in Deep Space Systems
5.2 Embryonic Fabric for Digital Circuits
5.2.1 Embryonic Adder and Comparator Cell Design
5.2.2 Embryonic Switch Box Design
5.3 Built-in Self-test Design for Embryonic Cells
5.3.1 BIST Controller Design for Embryonic Fabric
5.3.2 Test Pattern Generator Module
5.3.3 Output Response Analysis Module
MISR for Response Compaction—Signature Analysis
5.4 Fault Detection of Embryonic Adder and Comparator Cells
5.5 Fault Simulation Results of Embryonic Cell
5.6 Conclusion
5.7 Scope for Future Work
References
6 Hybrid Whale Optimization Algorithm with Simulated Annealing for the UAV Placement Problem
6.1 Introduction
6.2 UAV Placement Problem Formulation
6.2.1 System Model
6.2.2 Problem Formulation
6.3 Preliminaries
6.3.1 Whale Optimization Algorithm (WOA)
6.3.2 Simulated Annealing (SA)
6.4 Hybrid Whale Optimization Algorithm with Simulated Annealing (WOA-SA) for the UAVs Placement Problem
6.5 Simulation Results
6.6 Conclusion
References
7 Lecture Notes in Computer Science
7.1 Introduction
7.2 Stationary Sinusoidal-Based Representations
7.2.1 Sinusoidal-Based Representation
7.2.2 Harmonic Plus Noise-Based Representation
7.3 Adaptive Sinusoidal-Based Representations
7.3.1 aQHM/eaQHM-Based Representations
7.3.2 Full-Band Adaptive Harmonic-Based Representation
7.3.3 Full-Band Extended Adaptive Quasi-Harmonic-Based Representation
7.4 Conclusions and Future Work
References
8 Joint Local Reinforcement Learning Agent and Global Drone Cooperation for Collision-Free Lane Change
8.1 Introduction
8.2 LCA Platform
8.2.1 LCA Modules
Module 1
Module 2
Module 3
8.2.2 Real-World Scenario Based on NGSIM Dataset
Machine Learning Model Applied to NGSIM Dataset
Training and Testing for the NGSIM Lane Change Model
8.2.3 DEAR for the Ego Vehicle
State Space
Action Space
Reward Function
8.3 Simulation and Performance Results
8.3.1 Simulation Setup
8.3.2 Performance of GL-DEAR Platform
Baseline Models
Performance Analysis
Impact of Simulation Parameters
8.4 Conclusion and Future Work
References
Index