Hamza Mustafa

According to our database, Hamza Mustafa authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Evaluation of Deep Learning Models for State of Charge Estimation for Lithium Batteries Using Image-Encoded Electrochemical Impedance Spectroscopy Data.

Hamza Mustafa, Michele Vitelli, Filippo Milano, Mario Molinara, Luigi Ferrigno

Proceedings of the IEEE International Workshop on Metrology for Automotive, 2025

AI for environmental, energy, and IoT applications: UniCas industrial research highlights.

Mario Molinara, Alessandro Bria, Domenico Capriglione, Tiziana D'Alessandro, Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Fabrizio Marignetti, Claudio Marrocco, Alessio Miele, Filippo Milano, Hamza Mustafa, Vincenzo Rega, Alessandra Scotto di Freca, Luca Cicala, Sara Parrilli, Mariano Focareta, Giuseppe Meoli, Michele Vitelli, Carmine Bourelly, Andrea Amodei

Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

Preliminary Evaluation of Machine Learning Approaches for PANTONE Color Classification with the SENSIPATCH wearable system.

Hamza Mustafa, Michele Vitelli, Filippo Milano, Mario Molinara, Luigi Ferrigno, Andrea Ria, Federico Fina, Fabio Leccese

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

2024

UniCas for Industry.

Alessio Miele, Hamza Mustafa, Michele Vitelli, Alessandro Bria, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

A Deep Learning System for Water Pollutant Detection Based on the SENSIPLUS Microsensor.

Hamza Mustafa, Mario Molinara, Luigi Ferrigno, Michele Vitelli

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

GTraclus: a novel algorithm for local trajectory clustering on GPUs.

Hamza Mustafa, Clark Barrus, Eleazar Leal, Le Gruenwald

Distributed Parallel Databases, September, 2023

2022

Multi-Stream Deep Neural Network for Diabetic Retinopathy Severity Classification Under a Boosting Framework.

Hamza Mustafa, Syed Farooq Ali, Muhammad Bilal, Shehzad Muhammad Hanif

IEEE Access, 2022

2021

GTraclus: A Local Trajectory Clustering Algorithm for GPUs.

Hamza Mustafa, Clark Barrus, Eleazar Leal, Le Gruenwald

Proceedings of the 37th IEEE International Conference on Data Engineering Workshops, 2021

2019

An Experimental Comparison of GPU Techniques for DBSCAN Clustering.

Hamza Mustafa, Eleazar Leal, Le Gruenwald

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

FastTopK: A Fast Top-K Trajectory Similarity Query Processing Algorithm for GPUs.

Hamza Mustafa, Eleazar Leal, Le Gruenwald

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018