3 papers
cs.LG2026
When More Modalities Hurt: Modality Dropout for Heavy-Duty Vehicle Engine Diagnostics
Adeel Zafar, Slawomir Nowaczyk, Hamid Sarmadi +1
Heavy-duty vehicle diagnostics generate three disconnected data modalities: unstructured multi- lingual service complaints, high-dimensional sensor telemetry with over 80% missing…
cs.CV2025
Leveraging ChatGPT's Multimodal Vision Capabilities to Rank Satellite Images by Poverty Level: Advancing Tools for Social Science Research
Hamid Sarmadi, Ola Hall, Thorsteinn Rögnvaldsson +1
This paper investigates the novel application of Large Language Models (LLMs) with vision capabilities to analyze satellite imagery for village-level poverty prediction. Although L…
cs.CV2023
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
Hamid Sarmadi, Thorsteinn Rögnvaldsson, Nils Roger Carlsson +3
Deep convolutional neural networks (CNNs) have been shown to predict poverty and development indicators from satellite images with surprising accuracy. This paper presents a first…