New Technologies, Artificial Intelligence and Smart Data : 10th International Conference, INTIS 2022, Casablanca, Morocco, May 20–21, 2022, and 11th International Conference, INTIS 2023, Tangier, Morocco, May 26–27, 2023, Revised Selected Papers / edited by Mohamed Tabaa, Hassan Badir, Ladjel Bellatreche, Azedine Boulmakoul, Ahmed Lbath, Fabrice Monteiro.

Format:

Book

Author/Creator:

Tabaa, Mohamed.

Contributor:

Budayr, Ḥassān.

Bellatreche, Ladjel.

Boulmakoul, Azedine.

Lbath, Ahmed.

Monteiro, Fabrice.

Series:

Communications in Computer and Information Science, 1865-0937 ; 1728

Language:

English

Subjects (All):

Artificial intelligence.

Computer engineering.

Computer networks.

Computers, Special purpose.

Artificial Intelligence.

Computer Engineering and Networks.

Computer Communication Networks.

Special Purpose and Application-Based Systems.

Local Subjects:

Artificial Intelligence.

Computer Engineering and Networks.

Computer Communication Networks.

Special Purpose and Application-Based Systems.

Physical Description:

1 online resource (216 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

This volume constitutes selected papers presented at the 10th International Conference on Innovation and New Trends in Information Technology, INTIS 2022, held in Casablanca, Morocco, in May 2022, and 11th International Conference on Innovation and New Trends in Information Technology, INTIS 2023, held in Tangier, Morocco, in May 2023. After the thorough peer review process, 4 papers were selected from the 27 submissions received for INTIS 2022, and 11 papers were selected from the 33 submissions received for INTIS 2023. The presented papers cover the mail topics of data-enabled systems/applications: data source layer, network layer, data layer, learning layer, and reporting layers while considering non-functional properties such as data privacy, security, and ethics.

Contents:

Intro

Preface

Organization

Contents

Artificial Intelligence

Machine Learning for the Analysis of Human Microbiome in Inflammatory Bowel Diseases: Literature Review

1 Introduction

2 The Relation Between Inflammatory Bowel Diseases and the Microbiome

3 Existing Approaches for Microbiome Analysis

4 Machine Learning Techniques for Microbiome Analysis

5 Applications of Machine Learning for the Analysis of the Microbiome in Inflammatory Bowel Diseases

6 Limitations and Challenges of Using Machine Learning for Microbiome Analysis in IBD

7 Conclusion

References

Systematic Mapping Study on Applications of Deep Learning in Stock Market Prediction

2 Related Works

3 Research Method

4 Systematic Mapping Results

5 Synthesis and Future Works

6 Conclusion

Exploring the Knowledge Distillation

2 Related Work

3 Methods and Background

3.1 Knowledge Distillation

3.2 Teacher Assistant Knowledge Distillation

3.3 Self-distillation

4 Experimental Results

4.1 Datasets

4.2 Experiment Settings

4.3 Evaluation Metric

4.4 Performance Evaluation

5 Conclusion

Intelligent Traffic Congestion and Collision Avoidance Using Multi-agent System Based on Reinforcement Learning

2 Literature Review

2.1 Multi-agent System

2.2 Intelligent Traffic Congestion

2.3 Collision Avoidance

2.4 Reinforcement Learning

3 Proposed System

3.1 System Architecture

3.2 Methodology

3.3 Design Objectives

3.4 Mathematical Model

4 Findings

6 Future Work

BERT for Arabic NLP Applications: Pretraining and Finetuning MSA and Arabic Dialects

2 Word Embeddings and BERT

3 The BERT Model: Background

3.1 Bert Architecture.

3.2 BERT Pre-training and Fine-Tuning

4 BERT for Arabic NLP Applications: Pre-training and Fine-Tuning

4.1 Training Datasets

4.2 Pre-training BERT Models

4.3 Fine-Tuning for Arabic NLP Applications

4.4 The Computational Cost

5 Results and Discussion

VacDist MAS for Covid-19 Vaccination Distribution: Palestine as a Case Study

3 Methodology

3.1 The Proposed MAS

3.2 System Environments and Their Agents

3.3 Data Source

3.4 VacDist Framework

4 Results

4.1 Decision-Making Strategy Results

4.2 Machine Learning Distribution Strategy Based Cities Results

4.3 Distribution Strategy Based Citizen Results

5 Discussion

Smart E-Waste Management System Utilizing IoT and DL Approaches

3 Object Detection Model

3.1 Cloud, Fog, or Local Computing

3.2 Choosing a Deep-Learning Framework

3.3 Choosing an Architecture for Object Detection

3.4 Dataset Collection

3.5 Training Phase

4 The Proposed System

4.1 System Architecture

4.2 System Components

4.3 System Workflow

4.4 Prototype Implementation (Hardware)

4.5 System Cost

5 Conclusion and Future Work

Data Technologies

Towards a Platform for Higher Education in Virtual Reality of Engineering Sciences

2 Digital Transformation in Higher Education: State of Art

2.1 Virtual Reality

2.2 Augmented Reality

2.3 Metaverse

2.4 Virtual 3D Technologies in STEM Higher Education

2.5 Students' Perspectives on Using AR and VR

2.6 Teachers' Perspectives on Using AR and VR

2.7 Pedagogy of Learning in STEM Higher Education

2.8 Supporting Different Resource Types for Learning

2.9 WebXR

3 Discussion

3.1 The Implementation

3.2 How It Works.

4 Conclusion

Robust Intelligent Control for Two Links Robot Based ACO Technique

2 Optimal Neural Network Sliding Mode Control Design

2.1 Controller Design

2.2 Neural Network Representation:

2.3 ACO Training Algorithm

3 Simulation Results

4 Conclusion

Multimodal Learning for Road Safety Using Vision Transformer ViT

2 Litterature Review

3 Problem Definition

3.1 Vision Transformer (ViT)

3.2 Model Architecture

4 Model Application: The Identification of High-Risk Areas for Smart Camera Locations

4.1 Dataset

4.2 Experimental Setup

4.3 Results

Intelligent Multi-agent Distributed System for Improving and Secure Travel Procedures: Al-Karama-King Hussein Bridge Study Case

2 System Architecture

3 Logical Data Structure

4 IRMADS as Distributed System

4.1 Scalability

4.2 Openness

4.3 Resource Sharing

5 IRMADS Database Based on Blockchain Data Architecture

6 State Diagram Distribution for IRMADS

7 Agent-Based and Discrete Event Simulation for IRMADS

7.1 Agent and Traveler Data Structure

7.2 Simulation Work Flow

7.3 Simulation Results and Analysis

8 Conclusion

A New Approach for the Analysis of Resistance to Change in the Digital Transformation Context

3 Background

4 Proposed Approach

5 Illustrative Example

6 Results and Discussion

Augmented Data Warehouses for Value Capture

3 Motivating Example

4 DW Augmentation for Value Capture

4.1 GO Augmented-DW

4.2 On-Demand DW Augmentation

4.3 Value Metrics for DW Augmentation

5 Experiments

5.1 Experimental Setup

5.2 Obtained Results

References.

A Parallel Processing Architecture for Querying Distributed and Heterogeneous Data Sources

3 A Parallel Processing Architecture for Aggregated Search in the Web of Data

4 Querying Heterogeneous Sources with Our Search Engine

5 Demonstration and Results

5.1 Data Sources and the Query

5.2 Execution Results

Comprehensive Data Life Cycle Security in Cloud Computing: Current Mastery and Major Challenges

2 Data Life Cycle

3 Literature Review

3.1 Secure Data Creation

3.2 Ensuring Secure Data Exchange

3.3 Secure Data Deletion

4 Research Gap in Data Life Cycle

Author Index.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Tabaa, Mohamed New Technologies, Artificial Intelligence and Smart Data

ISBN:

9783031473661

3031473663

OCLC:

1411309492