Laghrib / Elmoufidi | Machine Learning and Computational Methods: Theory and Applications | Buch | 978-3-032-30731-6 | www.sack.de

Buch, Englisch, 299 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Springer Proceedings in Mathematics & Statistics

Laghrib / Elmoufidi

Machine Learning and Computational Methods: Theory and Applications

ICMDS 2025, Casablanca, Morocco, October 23–25
Erscheinungsjahr 2027
ISBN: 978-3-032-30731-6
Verlag: Springer

ICMDS 2025, Casablanca, Morocco, October 23–25

Buch, Englisch, 299 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Springer Proceedings in Mathematics & Statistics

ISBN: 978-3-032-30731-6
Verlag: Springer


The book contains the proceedings of The International Conference of Mathematics and Data Science (ICMDS’25), a multidisciplinary, peer-reviewed conference that offers a platform for the exchange of cutting-edge research, the presentation of innovative ideas, and the discussion of future trends in mathematics and data science. ICMDS’25 brings together academic researchers, scientists, and professionals to share their latest findings, explore collaborative opportunities, and contribute to the advancement of both theoretical and applied aspects of the fields.

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Zielgruppe


Research

Weitere Infos & Material


Y. El Aadraoui, Abdelghani Ghazdali and Amine Laghrib, WGAN-LDA: Wasserstein Generative Adversarial Networks with Linear Discriminant Analysis Embedding.- Ayoub Skouta, Abdelali Elmoufidi, Said Jai-Andaloussi, Ouail Ouchetto, Progressive Transfer Learning with EfficientNetV2B3 for Multi-Class OCT Image Classification.- Nasreddine HAFIDI, Amine EL HOSSI, Salah El BIKRI, Mourad NACHAOUI, A Comparative Study of Machine Learning Algorithms for Type 2 Diabetes Prediction.- Amine El Hossi, Ayman Mazzouz, Abdelali Elmoufidi, Mourad Nachaoui, Deep Learning and Machine Learning Fusion for Medical Image Classification: Application to Diabetic Retinopathy Detection.- Yassine El Aadraoui, Soukaina Elharouri, Abdelghani Ghazdali, Amine Laghrib, Decoding the Hidden Heartbeat: Copula-Based Fetal ECG Extraction.- Hind Hafsi, Abdelghani Ghazdali and Amine Laghrib, CIPS-Lite: Copula-Based Regularization for Poisson Image Denoising.- Abdellah Jarmouni, Imane El Malki, Moad Hakim, Amine Laghrib, Neural Interpolation for Single Image Super-Resolution: A Bilevel Learning Approach with Plug-and-Play Denoising.- Marouane Baadi, Zakaria Khoudi, Lekbir Afraites, and Soufiane Lyaqini, Machine Learning Based Classification of As-sister Roles in Football.- Mustapha Maouhoub, Abdelali Elmoufidi and Mourad Nachaoui, Efficient Super-Resolution via Structured Channel Pruning.- Amine El Hossi, Nasreddine Hafisi and Mourad Nachaoui, A Systematic Benchmark of EfficientNet Feature Extractors with Heterogeneous Machine Learning Classifiers for Binary Diabetic Retinopathy Detection from Fundus Imagess.- Hamza Ouhakki and Abdelali Elmoufidi, A Scalable Approach for Brain Tumor Detection in the Hadoop-Spark Ecosystem.- Naima El Haoud and Imane Bekkaoui, An AI-Driven Decision-Making Framework for Strategic Optimization in the Renewable Energy Sector.- Ilyas Quafou, Lekbir Afraites and Soufiane Lyaqini, Enhanced Breast Cancer Classification from Ultrasound Images Using GLCM and Chi-Square Feature Selection.- Wafa Oulad Benaissa and Smail Kabbaj, Forecasting Sustainable Financial Performance Using LSTM: An AI-Driven Approach Integrating ESG and Digitalization.- Wahiba Ignammas, Hind Hafsi and Abdelghani Ghazdali, Image Denoising Using a GAN-Based Symmetric Encoder-Decoder Model.- Ayman MAZZOUZ, Abdelali ELMOUFIDI, Anouar HESBAOUI, Amine EL HOSSI, Hybrid ARIMA-LSTM Model for Predicting Moroccan Stock Market Indicators.- Mohamed Ziouane, Mourad Nachaoui, Recovery of Mortality and Contamination Rates in a Spatial Honeybee Model Using Regularized Conjugate Gradient Optimization.- Soufiane El Aamrani, Abdelali Elmoufidi, Mohammed Erritali, Anass Abdelhamid El Alami, A Comparative Study of Transfer Learning and Machine Learning Classifiers for Breast Cancer Histopathology Image Classification.- M. Baadi, Zakaria Khoudi, Lekbir Afraites, and Soufiane Lyaqini, Machine Learning Prediction of Football Match Goals Based on Betting Odds.



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