Ali Dabbous

Binary Neural Networks for Real-Time Structural Health Monitoring on Edge Devices.

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Proceedings of the IEEE International Conference on Consumer Electronics, 2025

Green Machine Learning for the IoT (GEMINI): A Position Paper.

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Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2024

Quantization of MobileNetV2 for Resource-Constrained Microcontrollers.

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Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2024

Domain-Adversarial Neural Networks (DANN) for Cross-Sport Activity Recognition.

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Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2024

Benchmarking Microcontrollers with Ultra-Low Resolution Images Classification.

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Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2024

Photoplethysmography-Based Biometric System: Evaluating Deep Learning Techniques for Enhanced Security.

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Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2024

Performance Comparison of YOLOv8 and YOLOv10 for Traffic Light Detection on a Jetson Nano Board.

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Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2024

Assessment of Recurrent Spiking Neural Networks on Neuromorphic Accelerators for Naturalistic Texture Classification.

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Proceedings of the 18th Conference on Ph.D Research in Microelectronics and Electronics, 2023

Modeling and Simulation of Optically Transparent Brain Computer Interfaces.

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Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Real-Time Implementation of Tiny Machine Learning Models for Hand Motion Classification.

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Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Low-Cost, Edge-Cloud, End-to-End System Architecture for Human Activity Data Collection.

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Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Neural Architecture for Tennis Shot Classification on Embedded System.

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Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Feed-Forward SNN for Touch Modality Prediction.

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Ali Dabbous

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Ali Ibrahim

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Maurizio Valle

Proceedings of the Advances in System-Integrated Intelligence, 2022

Object Contact Shape Classification Using Neuromorphic Spiking Neural Network with STDP Learning.

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Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Spiking Neural Network Based on Threshold Encoding For Texture Recognition.

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Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Artificial Bio-Inspired Tactile Receptive Fields for Edge Orientation Classification.

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Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Touch Modality Classification using Spiking Neural Networks and Supervised-STDP Learning.

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Proceedings of the 28th IEEE International Conference on Electronics, 2021

Ali Dabbous

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