3 citations · 5 across the 16 of their papers we have counts for
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cs.LG2023
Internet of Things Fault Detection and Classification via Multitask Learning
Mohammad Arif Ul Alam
This paper presents a comprehensive investigation into developing a fault detection and classification system for real-world IIoT applications. The study addresses challenges in da…
cs.CV2023★ 1 cited
Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding
Yidong Zhu, Md Mahmudur Rahman, Mohammad Arif Ul Alam
Deep learning advancements have revolutionized scalable classification in many domains including computer vision. However, when it comes to wearable-based classification and domain…
eess.SP2023
Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks
Yidong Zhu, Shao-Hsien Liu, Mohammad Arif Ul Alam
The integration of diverse health data, such as IoT (Internet of Things), EHR (Electronic Health Record), and clinical surveys, with scalable AI(Artificial Intelligence) has enable…