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ORCIDSADASC 2024: Tangier, Morocco
- Mohamed Hamlich
, Fadi Dornaika, Carlos Ordonez, Ladjel Bellatreche, Hicham Moutachaouik:
Smart Applications and Data Analysis - 5th International Conference, SADASC 2024, Tangier, Morocco, April 18-20, 2024, Proceedings, Part I. Communications in Computer and Information Science 2167, Springer 2024, ISBN 978-3-031-77039-5
Designing and Modeling
- Bouthaina Slika, Fadi Dornaika, Karim Hammoudi:
Predicting Lung Infection Severity in Chest X-Ray Images Through Multi-score Assessment. 3-16 - Hanan Sabbar, Hassan Silkan, Khalid Abbad:
Computer Vision and Artificial Intelligent Techniques for Medical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Application. 17-30 - Ikhlass Boukrouh, Abdellah Azmani, Samira Khalfaoui:
Modeling and Managing Product Unavailability Risk in Inventory Through a Fuzzy Bayesian Network. 31-45 - Mohammed Hamim, Adil Enaanai, Aissam Jadli, Hicham Moutachaouik, Ismail El Moudden:
A Binary Particle Swarm Optimization Based Hybrid Feature Selection Method for Accident Severity Prediction. 46-59 - Daniel Voskergian, Faisal Khamayseh:
The Integration of NLP and Topic-Modeling-Based Machine Learning Approaches for Arabic Mobile App Review Classification. 60-73 - Sara Baali, Mohammed Hamim, Hicham Moutachaouik, Mustapha Hain, Ismail El Moudden:
Feature Selection for High-Dimensional Gene Expression Data: A Review. 74-92 - Youssra Amazou, Abdellah Azmani, Monir Azmani:
Legal Contract Quality and Validity Assessment Through the Bayesian Networks. 93-105 - Qamar EL Maazouzi, Asmaâ Retbi, Samir Bennani:
Optimizing Recommendation Systems in E-Learning: Synergistic Integration of Lang Chain, GPT Models, and Retrieval Augmented Generation (RAG). 106-118
Data Management
- Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras, Hussein Ali, Malak Karaouni:
Revolutionizing Skin Cancer Diagnosis: Unleashing AI Precision Through Deep Learning. 121-138 - Soulaimane Idiri, Hafida Khalfaoui, Abdellah Azmani:
Fuzzy Bayesian Network Applied to Modeling Vehicles Cooling Systems Failure Risk. 139-152 - Maria Eddarhri, Mustapha Hain, Abdelaziz Marzak:
Utilization of FMECA to Optimize Predictive Maintenance. 153-160 - Ibtissam Youb, Sebastián Ventura:
Comprehensive Study on Sentiment Analysis: Insights Into Data Preprocessing, Feature Extraction, and Deep Learning Model Selection. 161-174 - Loubna Bouhsaien, Abdellah Azmani, Imane Benallou:
A Combined AHP-TOPSIS Model for the Selection of Employees for Promotion. 175-189 - Bajja Nisrine, Tabaa Mohamed, Dufrenois Franck:
Towards Explainable Models: Explaining Black-Box Models. 190-203 - Oussama Ndama, El Mokhtar En-Naimi:
Advanced NLP and N-Gram Techniques in Financial News Sentiment Analysis: Diverse Machine Learning Approaches. 204-217 - Mohammed Marouane Saim, Hassan Ammor:
Comparative Study of Feature Selection Algorithms for Cardiovascular Disease Prediction with Artificial Neural Networks. 218-229
TinyML and Anomaly Detection
- Loubna Moujoud, Meryeme Ayache, Abdelhamid Belmekki:
Ensemble Learning for Malware Detection. 233-245 - Zineb Bakraouy, Wissam Abbass, Amine Baïna, Mostafa Bellafkih:
Enhancing Security Through Data Analysis and Visualization with ELK. 246-258 - Abdelwahed Elmoutaoukkil, Marouane Chriss, Amine Khatib, Ahmed Mouchtachi:
Industry 4.0 Efficiency: Predictive Maintenance with TinyML and an Incremental Model. 259-267 - Oussama Elallam, Oussama Jami, Mohamed Zaki:
Tiny-ML and IoT Based Early Covid19 Detection Wearable System. 268-280
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