International Conference on Artificial Intelligence Science and Applications (CAISA) (Advances in Intelligent Systems and Computing, 1441)

✍ Scribed by Mohamed Abd Elaziz (editor), Mohamed Medhat Gaber (editor), Shaker El-Sappagh (editor), Mohammed A. A. Al-qaness (editor), Ahmed A. Ewees (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 148
• Category: Library

✦ Synopsis

This book collects different artificial intelligence methodologies that applied to solve real-world problems. This book has exciting chapters that employ artificial intelligence and applied to different applications based on integration with meta-heuristic and other techniques. The area of applications is including medical diagnosis, text analysis, cloud computing, and others which will enrich the reader. In this sense, the book provides practical and theory content with novel artificial intelligence techniques. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics and is applied in courses on artificial intelligence, optimization techniques, advanced machine learning, among others.

✦ Table of Contents

Contents
A Hybrid Model for Predicting Road Accident Severity in Senegal
1 Introduction
2 Background
3 Random Forest Algorithm Description
4 Random Forest Algorithm Optimization
4.1 Futures Selection
4.2 Optimization of Hyperparameters
5 Experimentation
5.1 Applied Random Forest with All Features and Default Hyperparameters
5.2 Applied Random Forest Features Importance
5.3 Random Forest Optimized Hyperparameters
5.4 Discussion
6 Conclusion
References
An Efficient Machine Learning Algorithm for Breast Cancer Prediction
1 Introduction
2 Related Work
3 Methodology
4 Experiments Results
5 Conclusion and Future Work
References
A New Similarity Measure for Multi Criteria Recommender System
1 Introduction
2 Related Work
3 Problem Statement and Solution Overview
3.1 Problem Description
3.2 Proposed Solution
3.3 Single-Rated Versus Multi-Criteria Recommendation
4 Proposed Approaches
4.1 Normal Distribution
4.2 Multi-dimensional Distance Metrics
4.3 Pearson Correlation
4.4 Ratings Prediction
4.5 Model Evaluation
5 Implementation and Evaluation
5.1 Data Analysis and Pre-processing
5.2 Architecture of the Proposed System
5.3 Evaluation Metrics
5.4 Evaluation Results
6 Conclusions
References
Speeding Up and Enhancing the Hyperspectral Images Classification
1 Introduction
2 The Framework
2.1 Datasets
2.2 Experimental Results
3 Conclusions
References
A Healthcare System Based on Fog Computing
1 Introduction
2 Related Works
3 System Architecture
3.1 Patient’s Mobile Application
3.2 Nurse’s Mobile Application
3.3 Data Analysis
4 Implementation Details
5 Conclusion and Future Work
References
An Improved Arithmetic Optimization Algorithm with Differential Evolution and Chaotic Local Search
1 Introduction
2 Related Works
3 Preliminaries
3.1 Arithmetic Optimization Algorithm
4 The Proposed Algorithm
4.1 DE Exploration Strategy
4.2 Chaotic Local Search
5 Experiments and Discussion
5.1 Experimental Settings
5.2 Discussion on Solution Accuracy
5.3 Convergence Analysis
6 Conclusion
References
Services Management in the Digital Era—The Cloud Computing Perspective
1 Introduction
2 Related Work
3 Service Management Challenges Using SLAs
4 Negotiating on Services in Digital Cities Storage Platforms
5 SLA in Changing Times and Requirements
6 Conclusion
References
Trip Recommendation Using Location-Based Social Network: A Review
1 Introduction
2 Surveys and Related Studies
3 Traveler's Trip Recommendation
3.1 Personalized Trip Recommendations
4 Conclusions and Future Work
References
A Multimodal Spam Filtering System for Multimedia Messaging Service
1 Introduction
2 Related Work
3 The Proposed System
3.1 Image Classification Model
3.2 Text Classification Model
3.3 Text-Image Fusion Model
3.4 The Proposed System
4 Experiments Results and Discussion
4.1 Experimental Setup
4.2 Datasets
4.3 Evaluation Criteria and Validation Method
4.4 Experimental Results
5 Conclusion
References
Optimized Neural Network for Evaluation Cisplatin Role in Neoplastic Treatment
1 Introduction
2 Related Works
3 Data Characteristics
4 Multi-verse Optimizer
4.1 Inspiration
5 Proposed Neural Network Optimized by MVO
6 Experiments and Discussions
6.1 Parameter Settings
6.2 Comparative Analysis
7 Conclusion
References