OPT-RNN-DBSVM: OPTimal recurrent neural network and density-based support vector machine

K El Moutaouakil, A El Ouissari, A Olaru, V Palade… - Mathematics, 2023 - mdpi.com
When implementing SVMs, two major problems are encountered:(a) the number of local
minima of dual-SVM increases exponentially with the number of samples and (b) the …

Intelligent local search for an optimal control of diabetic population dynamics

EO Abdellatif, EM Karim, B Hicham, C Saliha - Mathematical Models and …, 2022 - Springer
Diabetes is a chronic disease that affects millions of people in the world. This work has two
objectives:(a) elaboration of a state of the art on the different dynamic systems with …

[PDF][PDF] Hybrid firefly genetic algorithm and integral fuzzy quadratic programming to an optimal Moroccan diet

K El Moutaouakil, A Ahourag, S Chakir… - Math. Model …, 2023 - science.lpnu.ua
In this paper, we solve the Moroccan daily diet problem based on 6 optimization
programming (P) taking into account dietary guidelines of US department of health, human …

Quadratic programming and triangular numbers ranking to an optimal moroccan diet with minimal glycemic load

A Ahourag, S Chellak, M Cheggour, H Baizri… - Statistics, Optimization …, 2023 - iapress.org
In this work, we suggest a variety of optimal daily diets for people with diabetes in Morocco.
To this end, we model the foods glycemic load in term of triangular fuzzy numbers. Then, we …

[PDF][PDF] Optimal fuzzy deep daily nutrients requirements representation: Application to optimal Morocco diet problem

K El Moutaouakil, H Baizri, S Chellak - Math. Model. Comput, 2022 - science.lpnu.ua
Solving the optimal diet problem necessarily involves estimating the daily requirements in
positive and negative nutrients. Most approaches proposed in the literature are based on …

Opt-RNN-DBFSVM: Optimal recurrent neural network density based fuzzy support vector machine

K El Moutaouakil, A El Ouissari - RAIRO-Operations Research, 2023 - rairo-ro.org
Two major problems are encountered when using fuzzy SVM:(a) the number of local minima
increases exponentially with the number of samples and (b) the quantity of required …

[HTML][HTML] Decomposition and Symmetric Kernel Deep Neural Network Fuzzy Support Vector Machine

K El Moutaouakil, M Roudani, A Ouhmid, A Zhilenkov… - Symmetry, 2024 - mdpi.com
Algorithms involving kernel functions, such as support vector machine (SVM), have attracted
huge attention within the artificial learning communities. The performance of these …

Genetic algorithm applied to fractional optimal control of a diabetic patient

A El Ouissari, K El Moutaouakil - Уфимский математический журнал, 2023 - umj.ufaras.ru
Аннотация Diabetes is a dangerous disease that increases in incidence every year. The
aim of this paper is to present and analyze the model of diabetes and its complications with …

A Metaheuristic for Fuzzy Density Based SVM and Confidence SMOTE for Early Prediction of Diabetes

A Driouich, A El Ouissari, K El Moutaouakil… - Statistics, Optimization …, 2024 - iapress.org
Diabetes is a chronic disease that affects millions of people worldwide. In this work, we
propose a confident version of the density-based support vector machine for early detection …

A Multiobjective Diet Planning Model for Diabetic Patients in the Moroccan Health Context Using Particle Swarm Intelligence

A Ahourag, K El Moutaouakil, B Elkari… - Statistics, Optimization …, 2024 - iapress.org
Recommended diets have a central role to play in creating a healthy dietary environment
that enables populations to adopt and maintain health-promoting dietary practices. It's well …