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E-raamat: Technologies of Information and Modeling: 7th International Conference, ICTIM 2024, Casablanca, Morocco, November 26-27, 2024, Proceedings

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This book constitutes the refereed proceedings of the 7th International Conference on Information Technology and Modeling, ICTIM 2024, held in Casablanca, Morocco, during November 2627, 2024. 



The 37 full papers presented in this volume were carefully reviewed and selected from 103 submissions. The papers are organized in the following topical sections: Machine Learning, Computer Vision, and Data Analysis; Natural language processing(NLP), Smart Systems, and Emerging Technologies; Cybersecurity, Cryptography, and AI for Security.



 
.- Machine Learning, Computer Vision, and Data Analysis.


.- Evaluating the Computational Complexity of Various Machine Learning
Algorithms.


.- Contrastive Learning on 3D Vision-Based Fall Detection.


.- Daily Harvest Forecast of Raspberries Crop Using Deep Learning Approach.


.- Revolutionizing Information Retrieval: Unveiling a NextGeneration
AI-Powered Question-Answer System for Comprehensive Document Analysis.


.- Advanced User Profile Similarity Prediction: Integrating Bipartite Graphs
with SimRank.


.- Forecasting Academic Success in Secondary Education: A Comprehensive Data
Mining Approach Using Machine Learning Models.


.- Advanced Detection of Mobile Obstacles: A CNN Approach for Road Safety.


.- Leveraging RAG and AI Agents to Enhance Specialized LLMs in Education.


.- Advanced Radiomics and Deep Learning for PDL1 Biomarker Prediction in
Non-Small Cell Lung Cancer.


.- AI-Enhanced Detection of COVID-19 and Lung Diseases via Chest X-Rays:
Enhancing Diagnostic Accuracy with CNNs and Top-K Algorithms.


.- Customer Loyalty Dynamics and Optimization of Promotional Strategies: An
Analysis Based on Segmentation and Purchasing Behavior.


.- AI and Deep Learning in the Diagnosis and Treatment of Prostate Cancer:
State of the art and Applications.


.- Innovative Approach to Enhancing Database Querying with AI.


.- Comparative Analysis of Similarity Metrics for Visual Recommendation in
E-commerce: AI Approaches and Performance.


.- Machine Learning for Web Traffic Classification.


.- AI-Driven Generative Automatic Matching for Heterogeneous Systems: A
Multi-Agent System Implementation on the .NET Platform.


.- Predicting Employees with Leadership Potential Using Machine Learning
Techniques.


.- Early Prediction of Student Dropout in MOOCs.


.- Adaptive M-Learning Resources Using Learner Context and Processing
Preferences.


.- Natural language processing(NLP), Smart Systems, and Emerging
Technologies.


.- Investigating Factors Influencing Chatbot Adoption for Enhancing
Government Services: An empirical study.


.- Exploring the Impact of Empathy on User Satisfaction in Banking Chatbots:
A Path to Enhanced Customer Experience.


.- Using Sentiment Analysis Extracted Features to Predict Stock Price.


.- Revolutionizing Moroccos Environmental Future: IoTDriven Air and Water
Quality Monitoring for Smart Cities.


.- Utilizing Transformer Models for Smartphone-Based Skin Cancer Detection.


.- Evaluating the Quality of Scientific Articles: A Review of Citation and
Content-Based Metrics.


.- Evaluation of Cost Estimation Methods for Software Development Projects: A
Comparative Study.


.- Comparative Analysis of Blood Vessel Segmentation Techniques in Breast
MRI.


.- Improvement of Information Retrieval Systems on Digital Educational
Platforms.


.- Towards an Intelligent Automated Evaluation System for Python Powered by
Large Language Models.


.- Revolutionizing Agriculture with LoRa: Intelligent Crop Monitoring and
Autonomic Irrigation.


.- Improving Dialectal Sentiment Analysis: A Contextual Approach Using
Multilingual Embeddings for Darija and Other Arabic Dialects Transcoding.


.- The Future of Travel: A Review of Chatbot Recommender Systems in E-Tourism
and Smart Tourism.


.- Intelligent Automated Resume Analysis and Ranking System for Profile
Recruitment Based on Computer Vision and LLMs.


.- Sentiment Classification of COVID-19 Tweets: A Hybrid Hadoop Approach
Using Deep Learning and Fuzzy Logic Theory.


.- Sustainable Logistics in Healthcare: Addressing Environmental Challenges
and Optimizing Medical Supply Chains for a Greener Future.


.- Sentiment Analysis of Patients in Healthcare: The Case of COVID-19
Vaccination.


.- Enhancing Tourism Experiences in Morocco: LLM-A Comparative Study of
Fine-Tuning and Retrieval Augmented Generation with Llama-3.


.- Leveraging LLM Techniques for Moroccan Agriculture: Performance Analysis
of RAG and FineTuning Approaches with Llama
3.


.- Cybersecurity, Cryptography, and AI for Security.


.- Website Ethical Hacking nd Penetration Testing.


.- Multi-Classification Approach for Malicious Social Bots Detection Based on
Transformers.


.- A decentralized identity management and student data verification system
using Blockchain and IPFS.


.- Intelligent Deep Learning Strategy for Safeguarding IoT Networks Against
RPL Selective Forwarding Attacks.


.- An Ontological Approach to Information Security Risk Management Based on
ISO/IEC 27001:2022.


.- Blockchain Integration in Moroccan Banking: Opportunities and Challenges
for Banque Populaire du Maroc.


.- EAGLE-Based Temporal Logic for Intrusion Detection: A Comprehensive Study.