Ali Yahyaouy

Orcid: 0000-0003-1954-2734

According to our database1, Ali Yahyaouy authored at least 41 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Correction: Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images.
Vis. Comput. Ind. Biomed. Art, December, 2024

Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images.
Vis. Comput. Ind. Biomed. Art, December, 2024

A Contextual Relationship Model for Deceptive Opinion Spam Detection.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Credit Card Fraud Detection: Addressing Imbalanced Datasets with a Multi-phase Approach.
SN Comput. Sci., January, 2024

2023
A robust energy management approach in two-steps ahead using deep learning BiLSTM prediction model and type-2 fuzzy decision-making controller.
Fuzzy Optim. Decis. Mak., December, 2023

Diabetic Retinopathy Prediction Based on Wavelet Decomposition and Modified Capsule Network.
J. Digit. Imaging, August, 2023

MG-CNN: Morphological gradient convolutional neural network for classification of arabic styles.
Signal Image Video Process., July, 2023

Fast and accurate localization and mapping method for self-driving vehicles based on a modified clustering particle filter.
Multim. Tools Appl., May, 2023

Detecting Fraudulent Transactions Using Stacked Autoencoder Kernel ELM Optimized by the Dandelion Algorithm.
J. Theor. Appl. Electron. Commer. Res., 2023

A new fuzzy MLE-clustering approach based on object-to-group probabilistic distance measure: from anomaly detection to multi-fault classification in datacenter computational nodes.
J. Ambient Intell. Humaniz. Comput., 2023

Distributed multi-cluster dynamic Q-routing for large size traffic grids.
Int. J. Cloud Comput., 2023

Autonomous approach for moving object detection and classification in road applications.
Int. J. Comput. Aided Eng. Technol., 2023

Attention Mechanism and Support Vector Machine for Image-Based E-Mail Spam Filtering.
Big Data Cogn. Comput., 2023

Multi -View Clustering Using Sparse Non-Negative Matrix Factorization for Recommendation Systems.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
Intelligent energy management for micro-grid based on deep learning LSTM prediction model and fuzzy decision-making.
Sustain. Comput. Informatics Syst., 2022

Modeling the correlation between the workload and the power consumed by a server using stochastic and non-parametric approaches.
Softw. Pract. Exp., 2022

Rapid Localization and Mapping Method Based on Adaptive Particle Filters.
Sensors, 2022

Improved extreme learning machine with AutoEncoder and particle swarm optimization for short-term wind power prediction.
Neural Comput. Appl., 2022

Deep GraphSAGE-based recommendation system: jumping knowledge connections with ordinal aggregation network.
Neural Comput. Appl., 2022

Diabetic retinopathy prediction based on deep learning and deformable registration.
Multim. Tools Appl., 2022

An Optimized Gradient Dynamic-Neuro-Weighted-Fuzzy Clustering Method: Application in the Nutrition Field.
Int. J. Fuzzy Syst., 2022

Study of the correlation between server resources utilization and energy consumption.
Proceedings of the 10th International Conference on Systems and Control, 2022

2021
Spam filtering based on PV-DBOW model.
Int. J. Data Anal. Tech. Strateg., 2021

Semantic integration of Moroccan cultural heritage using CIDOC CRM: case of Drâa-Tafilalet zone.
Int. J. Cloud Comput., 2021

Tourism recommender systems: an overview.
Int. J. Cloud Comput., 2021

A prediction-based model for virtual machine live migration monitoring in a cloud datacenter.
Computing, 2021

A new weighted fuzzy C-means clustering for workload monitoring in cloud datacenter platforms.
Clust. Comput., 2021

Hybrid recommender system for tourism based on big data and AI: A conceptual framework.
Big Data Min. Anal., 2021

Overview of the Main Recommendation Approaches for the Scientific Articles.
Proceedings of the Business Intelligence - 6th International Conference, 2021

2020
Multi-Agent System Based on the Extreme Learning Machine and Fuzzy Control for Intelligent Energy Management in Microgrid.
J. Intell. Syst., 2020

Road Traffic Prediction Model Using Extreme Learning Machine: The Case Study of Tangier, Morocco.
Inf., 2020

PV-DAE: A hybrid model for deceptive opinion spam based on neural network architectures.
Expert Syst. Appl., 2020

A robust classification to predict learning styles in adaptive E-learning systems.
Educ. Inf. Technol., 2020

Collaborative Filtering: Comparative Study Between Matrix Factorization and Neural Network Method.
Proceedings of the Networked Systems - 8th International Conference, 2020

2019
Comparative study between exact and metaheuristic approaches for virtual machine placement process as knapsack problem.
J. Supercomput., 2019

Multi-agent system based sequential energy management strategy for Micro-Grid using optimal weighted regularized extreme learning machine and decision tree.
Intell. Decis. Technol., 2019

2018
Multi-agent reinforcement learning-based approach for controlling signals through adaptation.
Int. J. Auton. Adapt. Commun. Syst., 2018

Comparative Study of Different Association Rule Methods.
Proceedings of the 5th IEEE International Congress on Information Science and Technology, 2018

2017
Smart multi-agent traffic coordinator for autonomous vehicles at intersections.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

2016
Energy management in a hybrid PV/wind/battery system using a type-1 fuzzy logic computer algorithm.
Int. J. Intell. Eng. Informatics, 2016

2015
Implementing a Fuzzy Logic Based Algorithm to Predict Solar and Wind Energies in a Hybrid Renewable Energy System.
Int. J. Fuzzy Syst. Appl., 2015


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