3 citations · 7 across the 6 of their papers we have counts for
6 papers
Machine Learning and Deep Learning in Computational Finance: A Systematic Review
Soufiane El Amine El Alami, Abderazzak Mouiha, Abdelatif Hafid +1
This systematic review examines how machine learning (ML) and deep learning (DL) have transformed forecasting, decision-making, and financial modelling, promoting innovation and ef…
Mathematical Insights into Protein Architecture: Persistent Homology and Machine Learning Applied to the Flagellar Motor
Zakaria Lamine, Abdelatif Hafid, Mohamed Rahouti
We present a machine learning approach that leverages persistent homology to classify bacterial flagellar motors into two functional states: rotated and stalled. By embedding prote…
Predicting Market Trends with Enhanced Technical Indicator Integration and Classification Models
Abdelatif Hafid, Abderazzak Mouiha, Linglong Kong +4
Thanks to the high potential for profit, trading has become increasingly attractive to investors as the cryptocurrency and stock markets rapidly expand. However, because financial…
Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators
Abdelatif Hafid, Maad Ebrahim, Ali Alfatemi +2
The rapid growth of the stock market has attracted many investors due to its potential for significant profits. However, predicting stock prices accurately is difficult because fin…
Sharding-Based Proof-of-Stake Blockchain Protocols: Security Analysis
Abdelatif Hafid, Abdelhakim Senhaji Hafid, Adil Senhaji
Blockchain technology has been gaining great interest from a variety of sectors, including healthcare, supply chain and cryptocurrencies. However, Blockchain suffers from its limit…
A Tractable Probabilistic Approach to Analyze Sybil Attacks in Sharding-Based Blockchain Protocols
Hafid Abdelatif, Senhaji Hafid Abdelhakim, Samih Mustapha
Blockchain like Bitcoin and Ethereum suffer from scalability issues. Sharding is one of the most promising and leading solutions to scale blockchain. The basic idea behind sharding…