15 citations · 19 across the 7 of their papers we have counts for
4 papers · 1 filter
Deep Learning-Based Analysis of Power Consumption in Gasoline, Electric, and Hybrid Vehicles
Roksana Yahyaabadi, Ghazal Farhani, Taufiq Rahman +3
Accurate power consumption prediction is crucial for improving efficiency and reducing environmental impact, yet traditional methods relying on specialized instruments or rigid phy…
TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving
Hossein Hassani, Soodeh Nikan, Abdallah Shami
Vision Language Models (VLMs) employed for visual question-answering (VQA) in autonomous driving often require substantial computational resources that pose a challenge for their d…
TS-VLM: Text-Guided SoftSort Pooling for Vision-Language Models in Multi-View Driving Reasoning
Lihong Chen, Hossein Hassani, Soodeh Nikan
Vision-Language Models (VLMs) have shown remarkable potential in advancing autonomous driving by leveraging multi-modal fusion in order to enhance scene perception, reasoning, and…
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…