papers

Publications (6)

cs.CV2026

Resource-Aware Evolutionary Neural Architecture Search for Cardiac MRI Segmentation

Farhana Yasmin, Mahade Hasan, Haipeng Liu +3

Cardiac magnetic resonance (CMR) segmentation underpins quantitative assessment of ventricular structure and function, yet reliable delineation remains difficult due to low tissue…

cs.HC2023

Internet of Things Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare Domain: A Review

Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray +1

Nowadays, the Internet has spread to practically every country around the world and is having unprecedented effects on people's lives. The Internet of Things (IoT) is getting more…

cs.CY2018

Urban Healthcare Big Data System Based on Crowdsourced and Cloud-Based Air Quality Indicators

Min Chen, Jun Yang, Long Hu +2

The ever-accelerating process of globalization enables more than half the population to live in cities. Thus, the air quality in cities exerts critical influence on the health stat…

cs.NI2021

Enhancing safety in water transport system based on Internet of Things for developing countries

Md Mohaimenuzzaman, SM Monzurur Rahman, Musaed Alhussein +2

Accidents in inland waterways in developing countries are a regular phenomenon throughout the year causing deaths, injuries, monetary loss, and a significant amount of missing peop…

cs.NI2019

Smart-Edge-CoCaCo: AI-Enabled Smart Edge with Joint Computation, Caching, and Communication in Heterogeneous IoT

Yixue Hao, Yiming Miao, Yuanwen Tian +4

The development of mobile communication technology, hardware, distributed computing, and artificial intelligence (AI) technology has promoted the application of edge computing in t…

eess.SP2022

Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects

Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray +1

Human Activity Recognition (HAR) plays a significant role in the everyday life of people because of its ability to learn extensive high-level information about human activity from…