2 papers
cs.LG2025
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
Fatemeh Dehrouyeh, Ibrahim Shaer, Soodeh Nikan +2
With the growing need for real-time processing on IoT devices, optimizing machine learning (ML) models' size, latency, and computational efficiency is essential. This paper investi…
cs.LG2024
Efficient Transformer-based Hyper-parameter Optimization for Resource-constrained IoT Environments
Ibrahim Shaer, Soodeh Nikan, Abdallah Shami
The hyper-parameter optimization (HPO) process is imperative for finding the best-performing Convolutional Neural Networks (CNNs). The automation process of HPO is characterized by…