To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could ...

Data from 11 hospitals were collected. An unsupervised clustering model was used to extract classification patterns, and clinical experts assigned disease labels. Multiple machine learning models, ...

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...

Abstract: The rapid evolution of cyber threats has created significant challenges for maintaining the security and resilience of enterprise systems. Existing approaches have relied heavily on manual ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

Introduction: Acute coronary syndrome (ACS) is a life-threatening emergency, with occlusion myocardial infarction (OMI) requiring rapid diagnosis and treatment. The 12-lead ECG remains the primary ...

Fentanyl, a widely used synthetic opioid, can be fatal even at low exposures, and in recent years, the illegal abuse of fentanyl and its analogs has become a serious global concern. Scientists headed ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

1 Center for Cyberspace Studies, Nasarawa State University, Keffi, Nigeria. 2 Department of Computer Engineering, Nile University of Nigeria, Abuja, Nigeria. 3 Department of Public and International ...