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20212025
most citedA Tractable Probabilistic Approach to Analyze Sybil Attacks in Sharding-Based Blockchain Protocols

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

math.GM20251 cited

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…

q-bio.BM2025

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…

cs.LG2024

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…

cs.CR2021

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…

cs.CR20212 cited

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…