collaborators

6 papers

cs.RO2025

Integrating Robotic Navigation with Blockchain: A Novel PoS-Based Approach for Heterogeneous Robotic Teams

Nasim Paykari, Ali Alfatemi, Damian M. Lyons +1

This work explores a novel integration of blockchain methodologies with Wide Area Visual Navigation (WAVN) to address challenges in visual navigation for a heterogeneous team of mo…

cs.CV2024

Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data

Mohammed Aledhari, Mohamed Rahouti, Ali Alfatemi

Autism Spectrum Disorder (ASD) is often underdiagnosed in females due to gender-specific symptom differences overlooked by conventional diagnostics. This study evaluates machine le…

cs.RO2024

Optimizing Control Strategies for Wheeled Mobile Robots Using Fuzzy Type I and II Controllers and Parallel Distributed Compensation

Nasim Paykari, Razieh Jokar, Ali Alfatemi +2

Adjusting the control actions of a wheeled robot to eliminate oscillations and ensure smoother motion is critical in applications requiring accurate and soft movements. Fuzzy contr…

cs.LG2024

Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness

Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Ali Alfatemi +3

Federated Learning (FL) represents a paradigm shift in machine learning, allowing collaborative model training while keeping data localized. This approach is particularly pertinent…

cs.LG2024

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…

cs.CR2024

Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach

Fernando Martinez, Mariyam Mapkar, Ali Alfatemi +4

Distributed Denial of Service (DDoS) attacks pose an increasingly substantial cybersecurity threat to organizations across the globe. In this paper, we introduce a new deep learnin…