- Editorial
246 Views
1 Page
Statement of Peer Review
- Hicham Gibet Tani,
- Mohamed Kouissi,
- Mohamed Ben Ahmed,
- Anouar Boudhir Abdelhakim and
- Lotfi Elaachak
n/a
Computer Sciences & Mathematics Forum, Volume 10, Issue 1
SCGT'2025 2025 - 18 articles
International Conference on Sustainable Computing and Green Technologies (SCGT’2025)
Larache, Morocco | 14–15 May 2025
Volume Editors:
Hicham Gibet Tani, Abdelmalek Essaadi University, Morocco
Mohamed Kouissi, Abdelmalek Essaadi University, Morocco
Mohamed Ben Ahmed, Abdelmalek Essaadi University, Morocco
Anouar Boudhir Abdelhakim, Abdelmalek Essaadi University, Morocco
Lotfi Elaachak, Abdelmalek Essaadi University, Morocco
Cover Story: SCGT’2025, the International Conference on Sustainable Computing and Green Technologies, brings together researchers, experts, and practitioners to explore how computing can drive environmental sustainability. Held on May 14–15, 2025, at the Polydisciplinary Faculty of Larache, Abdelmalek Essaadi University, Morocco, and co-organized by the Mediterranean Association of Sciences and Sustainable Development, the event features cutting-edge research on green computing, energy-efficient systems, and sustainable innovation. SCGT’2025 serves as a platform for cross-disciplinary collaboration, fostering impactful solutions for a greener digital future.
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Articles (18)
- Proceeding Paper
1,084 Views
9 Pages
Enhancing Security and Privacy in IoT Data Streams: Real-Time Anomaly Detection for Threat Mitigation in Traffic Management
- Oumayma Berraadi,
- Hicham Gibet Tani and
- Mohamed Ben Ahmed
The rapid expansion of IoT in smart cities has improved traffic management but increased security risks. Traditional IDS struggle with advanced threats, prompting adaptive solutions. This work proposes a framework combining machine learning (ML), Zer...
- Proceeding Paper
1,113 Views
9 Pages
Generative AI Respiratory and Cardiac Sound Separation Using Variational Autoencoders (VAEs)
- Arshad Jamal,
- R. Kanesaraj Ramasamy and
- Junaidi Abdullah
The separation of respiratory and cardiac sounds is a significant challenge in biomedical signal processing due to their overlapping frequency and time characteristics. Traditional methods struggle with accurate extraction in noisy or diverse clinica...
- Proceeding Paper
1 Citations
2,846 Views
9 Pages
Advancing Stress Detection and Health Monitoring with Deep Learning Approaches
- Merouane Mouadili,
- El Mokhtar En-Naimi and
- Mohamed Kouissi
Numerous studies in the healthcare field conducted in recent years have highlighted the impact of stress on health and its role in the development of several critical illnesses. Stress monitoring using wearable technologies, such as smartwatches and...
- Proceeding Paper
1 Citations
4,075 Views
8 Pages
The Evolution and Challenges of Real-Time Big Data: A Review
- Ikram Lefhal Lalaoui,
- Essaid El Haji and
- Mohamed Kounaidi
The importance of real-time big data has become crucial in the digital revolution of modern society, in the context of increasing data flows from multiple sources, including social media, internet connected devices (IOT) and financial systems, real-t...
- Proceeding Paper
3,264 Views
9 Pages
Integrating Machine Learning with Medical Imaging for Human Disease Diagnosis: A Survey
- Anass Roman,
- Chaymae Taib,
- Ilham Dhaiouir and
- Haimoudi El Khatir
Machine learning is revolutionizing healthcare by enhancing diagnosis and treatment personalization. This study explores ML applications in medical imaging, analyzing data from X-rays, CT, MRI, and ultrasound for early disease detection. It reviews k...
- Proceeding Paper
866 Views
8 Pages
Optimizing Machine Learning for Healthcare Applications: A Case Study on Cardiovascular Disease Prediction Through Feature Selection, Regularization, and Overfitting Reduction
- Lamiae Eloutouate,
- Hicham Gibet Tani,
- Lotfi Elaachak,
- Fatiha Elouaai and
- Mohammed Bouhorma
The application of machine learning (ML) to medical datasets offers significant potential for improving disease prediction and patient outcomes. However, challenges such as feature redundancy, overfitting, and suboptimal model performance limit the p...
- Proceeding Paper
916 Views
8 Pages
Recent Developments in Four-In-Wheel Electronic Differential Systems in Electrical Vehicles
- Anouar El Mourabit and
- Ibrahim Hadj Baraka
This manuscript investigates the feasibility of Four-In-Wheel Electronic Differential Systems (4 IW-EDSs) within contemporary electric vehicles (EVs), emphasizing their benefits for stability regulation predicated on steering angles. Through an exten...
- Proceeding Paper
2,531 Views
Video Surveillance and Artificial Intelligence for Urban Security in Smart Cities: A Review of a Selection of Empirical Studies from 2018 to 2024
- Abdellah Dardour,
- Essaid El Haji and
- Mohamed Achkari Begdouri
The rapid growth of information and communication technologies, in particular big data, artificial intelligence (AI), and the Internet of Things (IoT), has made it possible to make smart cities a tangible reality. In this context, real-time video sur...
- Proceeding Paper
905 Views
Revolutionizing Distance Learning: The Impact of Ontology and the Semantic Web
- Camara Alseny,
- Dhaiouir Ilham and
- Haimoudi El Khatir
The digital age has transformed education, making distance learning essential. With rapid knowledge evolution, flexible and personalized learning is crucial. This article examines how ontology and semantic web technologies enhance e-learning. Ontolog...
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Comput. Sci. Math. Forum - ISSN 2813-0324