
International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023)
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
This book encapsulates the innovative discussions held during the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), which took place at Mohammed 6 University of Sciences and Health Casablanca, Morocco.
This book delves into the multifaceted realm of advanced intelligent systems, specifically focusing on digital health technology. The book offers a comprehensive exploration of cutting-edge research and breakthroughs in this dynamic field, providing a holistic perspective on the latest advancements.
Within these pages, you will find papers covering an array of captivating topics, including AI-driven diagnostics, wearable health devices, predictive analytics in health care, and much more. Each contribution delves into the synergy of intelligent systems and digital health, showcasing how these technologies intertwine to shape the future of healthcare.
Designed for researchers, practitioners, and enthusiasts alike, this book serves as an invaluable resource for staying updated on the latest trends and developments in the intersection of advanced intelligent systems and digital health technology. Whether you are seeking to broaden your knowledge or seeking practical insights, this book caters to a diverse readership eager to harness the potential of these innovative domains.
More details
Other editions
Additional editions

Persons
Content
- Intro
- Knowledge
- Contents
- Bibliometric Analysis of Global Research Trends on Digital Occupational Health Using Scopus Database
- 1 Background
- 2 Materials and Methods
- 2.1 Search Criteria
- 2.2 Materials and Methods
- 3 Results
- 3.1 Descriptive Analysis
- 3.2 Productive Authors, Countries, and Institutions
- 3.3 Subject Area
- 3.4 Bibliometric Analysis
- 4 Discussion
- 5 Conclusion
- References
- Data Envelopment Analysis and Malmquist Index Application: Efficiency of Hospitals Networks in Morocco
- 1 Introduction
- 2 Problematic
- 3 Literature Review
- 4 Research Methodology
- 4.1 Research Model
- 4.2 Malmquist Index
- 4.3 Data and Variables
- 5 Results
- 5.1 Technical Efficiency
- 5.2 Malmquist Index
- 5.3 Modeling by Peer Hospital Network Guercif ( DMU 10) 2020
- 6 Discussion
- 7 Conclusion
- References
- Emergency Service Design and Management: Addressing Multi-floor Layout Challenges
- 1 Introduction
- 2 Literature Review
- 3 Problem Statement
- 4 Problem Modeling and Resolution
- 5 Conclusion
- References
- Exploring the Application of Classical and Intelligent Software Testing in Medicine: A Literature Review
- 1 Introduction
- 2 Literature Review
- 2.1 Classical Software Testing
- 2.2 Intelligent Software Testing
- 3 Results of the Literature Review
- 4 Discussion
- 5 Conclusion and Future Work
- References
- An Approach for Refactoring System Healthcare Using CQRS, GoF, and Natural Language Processing
- 1 Introduction
- 1.1 Command Query Responsibility Segregation
- 1.2 Design Patterns
- 2 Related Works
- 2.1 The Empirical Study of Refactoring Challenges and Benefits at Microsoft
- 2.2 A Case Study of the Variability Consequences of the CQRS Pattern in Online Business Software
- 2.3 Quantitative Analysis of Fault Density in Design Patterns: An Empirical Study
- 2.4 The Effect of Gang-of-Four Design Patterns Usage on Design Quality Attributes
- 3 Methods
- 4 Discussion
- 5 Conclusion
- References
- Information Extraction for Biomedical Literature Using Artificial Intelligence: A Comparative Study
- 1 Introduction
- 2 Related Works
- 2.1 Standards for the Selection of Articles
- 2.2 Overview of the Selected Articles
- 2.3 Table of Key Features
- 2.4 Comparative Analysis Methodology
- 3 Comparative Analysis
- 3.1 Common Themes and Trends
- 3.2 Information Extraction Methods and Techniques
- 3.3 Strengths
- 3.4 Limitations
- 4 Discussion
- 4.1 Discussion and Implications
- 4.2 Future Research Directions
- 5 Conclusion
- References
- Applying Graph Theory to Enhance Software Testing in Medical Applications: A Comparative Study
- 1 Introduction
- 2 Graph Theory
- 3 Graph Theory to Enhance Software Testing
- 4 Problematic
- 5 Methodology
- 6 Studied Approaches
- 7 Solution
- 8 Conclusion and Future Work
- References
- Agile Software Engineering in Medical Environments: Challenges and Opportunities
- 1 Introduction
- 2 Agile Software Engineering
- 3 Agile Software Engineering in Medical Environments
- 4 Problematic
- 5 Methodology
- 6 Studied Approaches
- 7 Solution
- 8 Conclusion and Future Work
- References
- Ultrasound Beamforming: Investigating Time Series with Sequence to Sequence Approach in Deep Learning
- 1 Introduction
- 2 Ultrasound Time Series
- 2.1 Time Series
- 2.2 RF Time Series
- 3 Recurrent Neural Network
- 3.1 Conventional Recurrent Neural Network
- 3.2 Long-short-term-memory (LSTM) and Gated Recurrent Unit (GRU)
- 3.3 Encoder-Decoder
- 4 Attention Mechanism
- 5 Conclusion
- References
- New Approach for Predicting Optimal Neoadjuvant Treatment in Breast Cancer Patients Using a Dynamic Treatment Graph
- 1 Introduction
- 2 Problematic
- 3 Methodology
- 4 Solution
- 5 Conclusion
- References
- Detection of a Cardiac Anomaly from a PCG Signal, Based on the Transition from Discrete to Continuous Point Clouds
- 1 Introduction
- 2 Methodology
- 2.1 Methods
- 3 Discrete to Continuous Algorithm DTC
- 4 Solution
- 5 Conclusion
- References
- Transfer Learning Fine-Tuning Strategies for Enhanced Ultrasound Breast Cancer Classification
- 1 Introduction
- 2 Related Works
- 3 Proposed Method
- 4 Discussion
- 5 Conclusion
- References
- VGG-AM: Towards a New Hybrid Medical Imaging Analysis Based on VGG Classification Model and Deep DATA Preparation
- 1 Introduction
- 2 Related Works
- 3 Materials and Methods
- 3.1 Computing Platform
- 3.2 Dataset Description
- 3.3 Preprocessing
- 4 Experimental Measures
- 5 Results and Discussions
- 6 Conclusion
- References
- Deep Medical Imaging, Analysis the Brest Cancer Mammography
- 1 Introduction
- 2 Related Works
- 3 Materials and Methods
- 3.1 Data and Tools
- 3.2 IT Platform
- 3.3 Transfer Learning
- 3.4 Experimental Measures
- 4 Results and Discussions
- 5 Conclusion
- References
- VAE-AL-UNet: Efficient Lung Segmentation in Chest X-Ray Images Using Variational Autoencoder and Active Learning
- 1 Introduction
- 2 Related Work
- 3 Methodology
- 4 Results
- 5 Conclusion
- References
- How Certified Management System and Information System Overcome Covid-19 Economics' Impacts: Comparative Study for Moroccan Companies Between 2020 and 2023
- 1 Introduction
- 2 Journal Literature
- 2.1 Impact of the Pandemic on the Global Economy
- 2.2 Impact of the Pandemic on the Moroccan Economy
- 3 Methodology
- 4 Results
- 4.1 First Survey
- 4.2 Second Survey
- 5 Interpretation of the Study's Results and Conclusion
- Appendix
- References
- SkinNet: Enhancing Dermatological Diagnosis Through a New Deep Learning Framework
- 1 Introduction
- 2 Literature Survey
- 3 SkinNET: Medical AI Framework
- 3.1 User Terminal
- 3.2 Edge Node
- 3.3 Remote Medal Site
- 4 Methodology
- 4.1 Oversampling
- 4.2 Standarization and Splitting Data
- 4.3 Convolutional Neural Network
- 4.4 Model Hyperparameters
- 5 Results and Discussions
- 6 Conclusion and Future Scope
- References
- Gabor Wavelet Scattering Network and KNN-Based Arrhythmia Classification Model
- 1 Introduction
- 2 Methodology
- 2.1 Data Preparation
- 2.2 Data Preprocessing
- 2.3 Features Extraction
- 2.4 K Nearest Neighbors
- 2.5 Performance Metrics
- 3 Results and Discussion
- 4 Conclusion
- References
- A Theoretical framework for Harnessing Machine Learning for Digital Forensics in Online Social Networks
- 1 Introduction
- 2 Related Works
- 3 Forensic of Online Social Networks
- 4 Proposed Framework
- 4.1 Identification
- 4.2 Preparation
- 4.3 Acquisition
- 4.4 Examination and Analysis
- 4.5 Reporting and Presentation
- 5 Theoretical Analysis of the Proposed Framework
- 6 Future Research Direction
- 7 Conclusion
- References
- A Survey on the Control and Monitoring of X-Ray Dosimetry in Moroccan Hospitals
- 1 Introduction
- 2 General Context
- 3 Study Background and Methodology
- 4 Results and Discussion
- 5 Case Study in a Radiology Department
- 6 Conclusion
- References
- LSTM as ElectroHysteroGram Signal Forecasting Method
- 1 Introduction
- 2 Methodology
- 2.1 Dataset
- 2.2 LSTM Architecture for Time Series Forecasting
- 3 Results and Discussion
- 4 Conclusion
- References
- Attention-Deficit Associated with Illicit Substances Use in Adolescents: A Case-Control Study
- 1 Introduction
- 2 Materials and Methods
- 3 Results:
- 4 Discussion
- 5 Conclusion
- References:
- A New Study of Bragg Curve of the 12C Ion at Energies Ranging 200-400 MeV/u with the Contribution of Secondary Fragments in Hadrontherapy Using the PHITS Monte Carlo Code
- 1 Introduction
- 2 Materials and Methods
- 2.1 A Brief Description of the Simulation Code: PHITS
- 3 Results and Discussion
- 3.1 Simulated and Experimental Bragg Curve Comparison of 12C Ion Beam
- 3.2 Bragg Curve of 12C Ion Beam in a Water Phantom
- 3.3 Depth Dose Distribution of Secondary Particles of 12C Ion Beam in a Water Phantom
- 3.4 Fragments Dose Distributions of 12C Ion Beam at Energy 400 MeV/u
- 4 Conclusion
- References
- Blockchain-Based Cloud Computing: A Comparative Study of BoC, CoB, and MBC
- 1 Introduction
- 2 Related Work
- 3 CoB, BoC, and MBC Deployment
- 3.1 Cloud Over Blockchain (CoB)
- 3.2 Blockchain Over Cloud (BoC)
- 3.3 Mixed Blockchain Cloud (MBC)
- 4 Comparative Analysis
- 4.1 Scalability
- 4.2 Performance
- 4.3 Security
- 4.4 Ease of Implementation
- 5 Conclusion
- References
- Health Recommender Systems
- 1 Introduction
- 2 Background
- 3 Related Work
- 4 Critical Analysis
- 5 Roads Ahead
- 6 Conclusion
- References
- Enhancing Tablet Manufacturing Efficiency Through Numerical Simulation and Modeling of Pharmaceutical Powder Compaction: A Comprehensive Review
- 1 Introduction
- 2 Compression Process
- 2.1 Simple Compression Step
- 2.2 Simple Compression Cycle
- 2.3 Exploitation of the Compression Cycle
- 2.4 Phenomenological Aspects
- 3 Elasto-Plasticity Behavior
- 4 Modeling the Compression Problem of Tablets
- 4.1 Elasto-Plastic Behavior Equation System
- 4.2 Boundray Conditions for a Die Compaction
- 4.3 Contact Conditions Between Powder and Tooling
- 4.4 Friction Condition Between Powder and Tools
- 5 Mechanical Modeling Approaches
- 5.1 The Discrete Approach (Microscopic)
- 5.2 The Continuous Approach (Macroscopic)
- 6 Numerical Modelling Method
- 6.1 The Finite Element Method (FEM)
- 6.2 The Discrete Element Method (DEM)
- 6.3 The Multi-particle Finite Element Method (FEMPM)
- 6.4 The Mesh-Less Method (MSM)
- 7 Synthesis: FEM/DEM/FEMPM/MSM
- 8 Conclusion
- References
- A Review of Recent Medical Imaging Modalities for Breast Cancer Detection: Active and Passive Method
- 1 Introduction
- 2 Breast Cancer
- 2.1 Breast Anatomy
- 2.2 Types of Breast Carcinoma
- 2.3 Breast Cancer Growth
- 3 Breast Cancer Screening Modalities
- 3.1 Active Modalities of Breast Imaging
- 3.2 Passive Modalities of Breast Imaging
- 3.3 Comparison of Modalities and Conclusion
- 4 Conclusion
- 5 Funding Statement
- References
- Potecting Patient Privacy: Understanding and Classifying Attacks and Vulnerabilities in Web-Based Healthcare Records
- 1 Introduction
- 2 Related Work
- 2.1 Alvarez Et Al Taxonomy
- 2.2 Nabi et al Taxonomy
- 2.3 Li, Deepa et al Taxonomy
- 2.4 OWASP Taxonomy
- 3 Analyzing Vulnerabilities and Attacks in Web Applications
- 3.1 Client-Side Vulnerabilities
- 3.2 Web Server and Application Server Vulnerabilities
- 3.3 Database Server(S) Vulnerabilities
- 4 Conclusion
- Appendix
- References
- Interest of Digital Smile Design in Patient Satisfaction in Comparison with Conventional Dental Treatments: Systematic Review
- 1 Introduction
- 2 Materials and Methods
- 2.1 Research Question
- 2.2 Search Equation
- 2.3 Article Selection Criteria
- 2.4 Risk of Bias Assessment
- 3 Results
- 3.1 Flowchart
- 3.2 General Description of the Studies
- 3.3 Results Analysis
- 3.4 Assessment of Risk of Bias
- 4 Discussion
- 5 Conclusion
- References
- Care Pathway Model for Patients with Localized Lung Adenocarcinoma
- 1 Introduction
- 2 The Impact of Digital Health on Lung Cancer Mortality Rates
- 2.1 Definition
- 2.2 Lung Cancer Mortality Rate
- 2.3 Digital Health and Lung Cancer
- 3 Methods
- 3.1 Logistic Regression Model
- 3.2 Program Code
- 4 Results
- 5 Conclusion
- References
- A Simple Overview for Proteins Molecular Dynamics Simulations Using GROMACS
- 1 Introduction
- 2 How to Choose Its Protein Structure?
- 3 Molecular Dynamics Steps
- 4 Editing and Validation of the Protein Structure
- 5 Notion of Empirical Force Fields
- 6 Preparing the System
- 7 Energy Minimization
- 8 Molecular Dynamics Simulation
- 9 Applications
- 10 Conclusion
- References
- Overview of an Implementation of a Health Surveillance System for Newborns at Home
- 1 Introduction
- 2 Problematic
- 3 Methodology
- 3.1 Sensors
- 3.2 IOT
- 4 Solution
- 5 Conclusion
- References
- A New Approach for Epileptic Seizure Detection from EEG and ECG Signals Using Wavelet Decomposition
- 1 Introduction
- 2 Methods
- 2.1 Data Collection
- 2.2 Proposed Automatic Detector
- 2.3 Discrete Wavelet Decomposition Application
- 2.4 Feature Extraction
- 2.5 Classification Algorithm
- 3 Result and Discussion
- 4 Conclusion
- References
- The Neurotoxic and Neurobehavioral Effects of "Tartrazine E102" Alone and in Combination with Lead Nitrate on the Sprague Dawley Rat
- 1 Introduction
- 2 Materials and Methods
- 3 Results
- 4 Discussion
- 5 Conclusion
- References
- Telemedicine and Blockchain in the Health Sector: Development of a Tele-radiology Program
- 1 Introduction
- 2 The Objective of the Work
- 3 Methods
- 4 Telemedicine, Blockchain and Healthcare
- 5 Legislative Framework and Criteria for the Creation of a Telemedicine Project in Morocco
- 6 Health Data Security And Confidentiality, Related Works
- 7 Conception of the Tele Radiology Program and Transmission of Radiological Images in Real Time
- 7.1 The Technology Component
- 7.2 The Organizational Component
- 7.3 The Medical Component
- 7.4 The Steps in the Act of Tele-radiology
- 8 Conclusion and Future Direction
- References
- Exploring Radiomic Feature Groups Contributions in Recurrence Prediction of Breast Cancer: A Comparative Analysis of Multiple Machine Learning Models
- 1 Introduction
- 2 Problematic
- 3 Methodology
- 3.1 Dataset
- 3.2 Method
- 4 Results
- 5 Discussion
- 6 Conclusion
- References
- Numerical Study and Simulation of the Crosstalk Effects on the Electroacoustic Performance of Ultrasonic Transducer Arrays Utilized in Medical Imaging Applications
- 1 Introduction
- 2 Analysis and Modelling
- 2.1 Conventional Slender Bar Transducer
- 2.2 Modelled Transducer Array
- 3 Results and Discussion
- 3.1 Filling Material Effects
- 4 Conclusions
- References
- Adaptive Reinforcement Learning for Medical Robotics and Telemedicine
- 1 Introduction
- 2 Reinforcement Learning
- 3 Literature Review
- 4 Employing Robots and Reinforcement Learning for Telemedicine and Medical Services Delivery
- 5 Comparative Study and Discussion
- 6 Conclusion
- References
- The Implementation of the Quality Approach in Medical Biology Laboratories
- 1 Introduction
- 2 The Operations of a Medical Biology Laboratory
- 3 Reference Quality Standards
- 3.1 The GBEA
- 3.2 ISO 15189 Standard
- 3.3 Requirements of the Standard
- 3.4 A Comparative Analysis of ISO 15189 and GBEA
- 4 Implementation of a Quality Management System in a Medical Biology Laboratory
- 4.1 The Quality Policy
- 4.2 Tools of the Quality Approach
- 4.3 Process Mapping in a LABM
- 4.4 Evaluation
- 4.5 Continuous Improvement
- 5 Conclusion
- References
- Design Methodology of a Wearable Thermographic System for IoT Application in Early Breast Cancer Detection
- 1 Introduction
- 2 Methodology
- 2.1 Conceptual Architecture of the Proposed System
- 2.2 Characterizing Resolution of Micro-biosensors Network
- 2.3 Validation on Breast Phantom
- 3 Results and Experiments
- 3.1 Sensors Network Resolution
- 3.2 Implementation of the Wearable System
- 4 Conclusion
- References
- Real-Time Implementation of an AI-Based Virtual Sign Language Recognition and Interpretation System
- 1 Introduction
- 2 Related Work
- 3 Overview of the Virtual Sign Language Recognition and Interpretation (VSLRI) System
- 4 Methodology
- 4.1 Data Acquisition
- 4.2 Preprocessing
- 4.3 Feature Extraction
- 4.4 Classification
- 5 Experimental Setup
- 6 Real-Time Implementation
- 7 Results and Discussion
- 8 Conclusion
- References
- Exploring the Chemical Diversity of Moroccan Medicinal Plants Through MoroChem: A Valuable Resource for Drug Discovery and Traditional Medicine
- 1 Introduction
- 2 Methodology
- 2.1 Structuring MoroChem Database: Unearthing Moroccan Plant Secrets
- 2.2 Front End
- 2.3 The Back-End: Uniting Data and Cloud
- 3 Results
- 4 Discussion
- References
- Author Index
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.