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CHIHAB Younes

Email : younes.chihab@uit.ac.ma

Institution : Higher School of Technology

Laboratory : Scientific Research and Innovation

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📚 Scopus Publications — Total : 39
Title Year 🔗 View
Real genetic algorithm optimization for beamforming design in a cognitive radio 2026 🔗 View
The Overfitting of ANN and RNN in Forex Trading 2026 🔗 View
Machine Learning Strategies for Detecting Fake News in the Age of AI Text Generation 2026 🔗 View
Comparing LSTM, CNN, and BERT Models in Oil Price Forecasting 2026 🔗 View
Application and Comparison of Deep Learning Methods to Detect Saharan Sand on Roads 2026 🔗 View
Transformer-based model for moroccan Arabizi-to-Arabic transliteration using a semi-automatic annotated dataset 2025 🔗 View
AI-Driven Professional Profile Categorization and Recommendation System 2025 🔗 View
A Spatiotemporal Forex Trading System Based on a Hybrid Model GAT-LSTM: Forecasting Forex Price Directions 2025 🔗 View
A FOREX Trading System Based on Semi-Supervised News Classification, Market Sentiment Analysis, and GRU-CNN Deep Learning Models 2025 🔗 View
Predicting Oil Price Trends During Conflict With Hybrid Machine Learning Techniques 2025 🔗 View
Particle swarm optimization for beamforming design in a cognitive radio 2025 🔗 View
Early Detection of Mental Illnesses: Analysis of Questionnaire and Social Media Data to Identify Early Signs of Depression and Anxiety 2025 🔗 View
Transforming agricultural supply chains: Leveraging blockchain-enabled java smart contracts and IoT integration 2024 🔗 View
Moroccan Arabizi-to-Arabic conversion using rule-based transliteration and weighted Levenshtein algorithm 2024 🔗 View
A Comprehensive Study on Crude Oil Price Forecasting in Morocco Using Advanced Machine Learning and Ensemble Methods 2024 🔗 View
Micro-Grid Design and Optimization Using COOT Optimization Algorithm 2024 🔗 View
Hybrid Forex prediction model using multiple regression, simulated annealing, reinforcement learning and technical analysis 2023 🔗 View
Effect of word embedding vector dimensionality on sentiment analysis through short and long texts 2023 🔗 View
Towards a large Biscript Moroccan Lexicon 2023 🔗 View
Multi-blockchain Scheme Based on IoT and Smart Contracts in the Agricultural Field for Data Management 2023 🔗 View
Enhancing Oil Price Forecasting Through an Intelligent Hybridized Approach 2023 🔗 View
Training an LSTM-based Seq2Seq Model on a Moroccan Biscript Lexicon 2023 🔗 View
Performance Evaluation of LMS and CM Algorithms for Beamforming 2022 🔗 View
Intraday Trading Strategy based on Gated Recurrent Unit and Convolutional Neural Network: Forecasting Daily Price Direction 2022 🔗 View
Agriculture Supply Chain Management Based on Blockchain Architecture and Smart Contracts 2022 🔗 View
Beamforming Optimization by Binary Genetic Algorithm 2022 🔗 View
Natural Language Processing Based Approach to Overcome Arabizi and Code Switching in Social Media Moroccan Dialect 2022 🔗 View
BiLSTM and Multiple Linear Regression based Sentiment Analysis Model using Polarity and Subjectivity of a Text 2022 🔗 View
The impact of influencers on the companies reputation in developing countries: Case of Morocco 2021 🔗 View
Architectural scheme of a multi-blockchain in the Agricultural field 2021 🔗 View
Towards a Machine Learning and Datamining approach to identify customer satisfaction factors on Airbnb 2021 🔗 View
A Client-Centric Evaluation System to Evaluate Guest's Satisfaction on Airbnb Using Machine Learning and NLP 2021 🔗 View
LSTM, VADER and TF-IDF based Hybrid Sentiment Analysis Model 2021 🔗 View
An approach based on heterogeneous multiagent system for stock market speculation 2019 🔗 View
Algo-Trading Strategy for Intraweek Foreign Exchange Speculation Based on Random Forest and Probit Regression 2019 🔗 View
Data set for tifinagh handwriting character recognition 2015 🔗 View
Comparative systems of handwriting Arabic character recognition 2014 🔗 View
Network intrusion detection system based on negative selection algorithm reinforced by danger theory 2013 🔗 View
Detection & classification of internet intrusion based on the combination of random forest and Naïve Bayes 2013 🔗 View