By combining a custom-built optical instrument with physics-based modeling and machine learning, the study shows that leaf-level optical properties ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, ...
Abstract: Network Intrusion Detection Systems (NIDS) are widely used to secure modern networks, but deploying accurate and scalable Machine Learning (ML)-based detection in high-speed environments ...
1 Department of Nephrology, the 95th Hospital of Putian in China RongTong Medical Health Corporation, Putian, China 2 Department of Rheumatology and Immunology, the 95th Hospital of Putian in China ...
ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...
A new academic study argues that fraud detection systems must evolve beyond accuracy-focused prediction tools into ...
The computer-aided diagnosis helps medical professionals detect and classify lung diseases from chest X-rays by leveraging medical image processing and central server-based machine learning models.
Abstract: The application of machine learning techniques in side-channel analysis has recently received increased attention. Finding the best hyperparameters to achieve optimal performance for machine ...
The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...
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