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Abbas Rammal

Traffic Congestion Prediction Based on Multivariate Modelling and Neural Networks Regressions
2023 · Walid Fahs, Fadlallah Chbib, et al. · Procedia Computer Science · 26
Machine learning techniques on homological persistence features for prostate cancer diagnosis
2022 · Abbas Rammal, Rabih Assaf, et al. · BMC Bioinformatics · 21
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Advanced Optimization in E-Commerce Logistics: Combining Matheuristics With Random Forests for Hub Location Efficiency
2025 · Kassem Danach, Abbas Rammal, et al. · IEEE Access · 17
Selection of discriminant mid-infrared wavenumbers by combining a naïve Bayesian classifier and a genetic algorithm: Application to the evaluation of lignocellulosic biomass biodegradation
2017 · Abbas Rammal, Eric Perrin, et al. · Mathematical Biosciences · 13
Optimal preprocessing and FCM clustering of MIR, NIR and combined MIR-NIR spectra for classification of maize roots
2014 · Abbas Rammal, Eric Perrin, et al. · International Conference on e-Technologies and Networks for Development (ICeND) · 10
Root cause prediction for failures in semiconductor industry, a genetic algorithm–machine learning approach
2023 · Abbas Rammal, Kenneth Ezukwoke, et al. · Scientific Reports · 9
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Classification of lignocellulosic biomass by weighted‐covariance factor fuzzy C‐means clustering of mid‐infrared and near‐infrared spectra
2017 · Abbas Rammal, Eric Perrin, et al. · Journal of Chemometrics · 9
Topological data analysis and machine learning for COVID-19 detection in CT scan lung images
2025 · Rabih Assaf, Abbas Rammal, et al. · BMC Biomedical Engineering · 7
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Path Analysis to Assess Socio-Economic and Mitigation Measure Determinants for Daily Coronavirus Infections
2021 · Elie Yammine, Abbas Rammal · International Journal of Environmental Research and Public Health · 7
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Evaluation of Lignocellulosic Biomass Degradation by Combining Mid- and Near-Infrared Spectra by the Outer Product and Selecting Discriminant Wavenumbers Using a Genetic Algorithm
2015 · Abbas Rammal, Eric Perrin, et al. · Applied Spectroscopy · 6
Enhancing DDBMS Performance through RFO-SVM Optimized Data Fragmentation: A Strategic Approach to Machine Learning Enhanced Systems
2024 · Kassem Danach, Abdullah Hussein Khalaf, et al. · Applied Sciences · 5
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Weighted-covariance factor fuzzy c-means clustering
2015 · Abbas Rammal, Eric Perrin, et al. · International Conference on Technological Advances in Electrical, Electronics and Computer Engineering · 5
Enhancing strawberry maturity assessment using mid-infrared spectral analysis with advanced variable selection and supervised classification
2026 · Abbas Rammal, Rabih Assaf, et al. · Scientific Reports · 3
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Optimal preprocessing of Mid InfraRed spectra. Application to classification of lignocellulosic biomass : maize roots and miscanthus internodes
2013 · Rammal, Abbas, Perrin, Eric, et al. · HAL · 3
Unsupervised approach for an optimal representation of the latent space of a failure analysis dataset
2023 · Abbas Rammal, Kenneth Ezukwoke, et al. · The Journal of Supercomputing · 2
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Unsupervised Variable Selection Using a Genetic Algorithm: An Application to Textual Data
2022 · Abbas Rammal, Kenneth Ezukwoke, et al. · International Conference on Smart Systems and Power Management (IC2SPM) · 2
Lung Segmentation followed by Machine Learning & Deep Learning Techniques for COVID-19 Detection in lung CT Images
2021 · Hatem Tarhini, Rayan Mohamad, et al. · International Conference on Advances in Biomedical Engineering (ICABME) · 2
Features' selection based on weighted distance minimization, application to biodegradation process evaluation
2015 · A. Rammal, H. Fenniri, et al. · European Signal Processing Conference (EUSIPCO) · 2
Using a genetic algorithm as an optimal band selector in the mid-near infrared: evaluation of the biodegradation of maize roots.
2014 · Abbas Rammal, E. Perrin, et al. · 2
Digital Dewaxing of Raman Hyperspectral Images: Application to Paraffin‐Embedded Skin Biopsies
2026 · Abbas Rammal, Rabih Assaf, et al. · Journal of Raman Spectroscopy · 1
Assessment of supervised machine learning methods for predicting COVID-19 likelihood
2025 · Abbas Rammal, Rabih Assaf, et al. · IEEE Middle East and North Africa Communications Conference (MENACOMM) · 1
Supervised learning applied to electrocardiogram statistical features for the detection of premature ventricular contraction
2025 · Khouloud Issa, Abbas Rammal, et al. · Research on Biomedical Engineering · 1
2D+t track detection via relative persistent homology
2020 · Rabih Assaf, Alban Goupil, et al. · International Journal of Imaging Systems and Technology · 1
Mathématiques appliquées et traitement du signal pour l’évaluation de la dégradation de la biomasse lignocellulosique
2016 · Abbas Rammal · theses.fr (ABES) · 1
A hybrid genetic algorithm and machine learning framework for entrepreneurial success prediction in higher education
2026 · Abbas Rammal, Dina Sidani, et al. · IET conference proceedings.
Works count: 39
Citation count: 156
H-index: 7
I10-index: 5
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