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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
  • Open Access
2,301 Views
6 Pages

This study investigates the energy consumption and carbon footprint of two prominent automatic speech recognition (ASR) systems: OpenAI’s Whisper and Google’s Speech-to-Text API. We evaluate both local and cloud-based speech recognition approaches us...

  • Proceeding Paper
  • Open Access
1 Citations
1,071 Views
8 Pages

Enhanced Lung Disease Detection Using Double Denoising and 1D Convolutional Neural Networks on Respiratory Sound Analysis

  • Reshma Sreejith,
  • R. Kanesaraj Ramasamy,
  • Wan-Noorshahida Mohd-Isa and
  • Junaidi Abdullah

The accurate and early detection of respiratory diseases is vital for effective diagnosis and treatment. This study presents a new approach for classifying lung sounds using a double denoising method combined with a 1D Convolutional Neural Network (C...

  • Proceeding Paper
  • Open Access
1,740 Views
12 Pages

Systematic Review of AI-Driven Personalization in Serious Games for Teaching at the Right Level in Morocco

  • Najlae Abarghache,
  • Younès Alaoui Soulimani,
  • Lotfi Elaachak and
  • Abderrahim Ghadi

Digitalization has shaped every part of our world, from education to healthcare, from finance to entertainment, and from manufacturing to social interactions. This digital transformation has put tremendous power in the hands of individuals and delive...

  • Proceeding Paper
  • Open Access
1,898 Views
11 Pages

Blockchain for Sustainable Smart Cities: Motivations and Challenges

  • Fatima Zahrae Chentouf,
  • Mohamed El Alami Hasoun and
  • Said Bouchkaren

Rapid urbanization and the rising demand for sustainable living have encouraged the growth of smart cities, which incorporate innovative technologies to ameliorate environmental sustainability, optimize resource management, and improve living standar...

  • Proceeding Paper
  • Open Access
657 Views
10 Pages

Fuzzy Logic Detector for Photovoltaic Fault Diagnosis

  • Chaymae Abdellaoui and
  • Youssef Lagmich

The performance degradation of photovoltaic (PV) systems, comprising solar panels and DC-DC converters, is often caused by various anomalies related to manufacturing defects, operational conditions, or environmental factors. These faults significantl...

  • Proceeding Paper
  • Open Access
2,415 Views
9 Pages

Green DevOps: A Strategic Framework for Sustainable Software Development

  • Mohamed Toufik Ailane,
  • Carolin Rubner and
  • Andreas Rausch

In the era of digital transformation, the environmental impact of software development has become a pressing concern, necessitating the integration of sustainability into software development processes. This paper addresses how DevOps, traditionally...

  • Proceeding Paper
  • Open Access
3,185 Views
8 Pages

Overview of Training LLMs on One Single GPU

  • Mohamed Ben jouad and
  • Lotfi Elaachak

Large language models (LLMs) are developing at a rapid pace, which has made it necessary to better understand how they train, especially when faced with resource limitations. This paper examines in detail how various state-of-the-art LLMs train on a...

  • Proceeding Paper
  • Open Access
1,084 Views
9 Pages

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...

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Comput. Sci. Math. Forum - ISSN 2813-0324