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[HTML][HTML] Deep learning in food category recognition
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 …
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
Edge deep learning, a paradigm change reconciling edge computing and deep learning,
facilitates real-time decision making attuned to environmental factors through the close …
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
Cloud computing and Internet of Things (IoT) technologies are gradually becoming the
technological changemakers in cancer diagnosis. Blood cancer is an aggressive disease …
technological changemakers in cancer diagnosis. Blood cancer is an aggressive disease …
FPGN: follower prediction framework for infectious disease prevention
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 …
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
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 …
innovative approaches for prevention and management. Within the context of IoT-enabled …