No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...

Machine learning often feels difficult at the beginning, especially when everything stays theoretical. That changes once you start working on real projects and see how models are actually used. The ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...

Abstract: Amyotrophic Lateral Sclerosis (ALS) is a critical disease, and many people suffer from it. Different diagnostic models have been proposed for ALS detection. However, these models still have ...

Abstract: The Internet of Things (IoT) is a vast system of interconnected systems that is rapidly growing, but it is also increasingly vulnerable to cyberattacks. Detecting and mitigating IoT threats ...

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(a) The arrows in the figure show the procedure for extracting the damage index, (b) The result shows the detection result of the damage index. A research team from Jinan University, Dongguan ...

This project evaluates how effectively static features extracted from Windows Portable Executable (PE) files can distinguish ransomware from benign software using supervised machine learning. This ...