[HTML][HTML] Deep learning in food category recognition

Y Zhang, L Deng, H Zhu, W Wang, Z Ren, Q Zhou… - Information …, 2023 - Elsevier
Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

Edge deep learning in computer vision and medical diagnostics: a comprehensive survey

Y Xu, TM Khan, Y Song, E Meijering - Artificial Intelligence Review, 2025 - Springer
Edge deep learning, a paradigm change reconciling edge computing and deep learning,
facilitates real-time decision making attuned to environmental factors through the close …

BloodPatrol: Revolutionizing Blood Cancer Diagnosis-Advanced Real-Time Detection Leveraging Deep Learning & Cloud Technologies

J Wei, L Wang, Z Zhou, L Zhuo, X Zeng… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Cloud computing and Internet of Things (IoT) technologies are gradually becoming the
technological changemakers in cancer diagnosis. Blood cancer is an aggressive disease …

FPGN: follower prediction framework for infectious disease prevention

J Yu, X Zhang, H Wang, X Wang, W Zhang, Y Zhang - World Wide Web, 2023 - Springer
In recent years, how to prevent the widespread transmission of infectious diseases in
communities has been a research hot spot. Tracing close contact with infected individuals is …

Robust and Interpretable Vector Borne Disease Prediction in IoT-Enabled Edge Networks

K Doulani, S Sharma, M Adhikari… - 2024 IEEE Region 10 …, 2024 - ieeexplore.ieee.org
Vector-borne diseases have created critical world-wide public health hazards that require
innovative approaches for prevention and management. Within the context of IoT-enabled …