This study introduces Megabouts, a transformer-based classifier for larval zebrafish movement bouts. This useful tool is thoughtfully implemented and has clear potential to unify analyses across labs.

As organizations increasingly rely on digital infrastructure to manage sensitive information, understanding how DSPM integrates with broader risk management and compliance strategies becomes essential ...

AI is transforming economic analysis, from natural language processing of central bank headlines to satellite imagery outperforming official statistics. This analysis is looking at how AI is enhancing ...

Introduction By 2050, antimicrobial resistance (AMR) could lead to over 10 million deaths annually and $100 trillion in ...

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...

Objectives Metabolic-associated fatty liver disease (MAFLD) is becoming increasingly prevalent worldwide, however, early ...

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...

Abstract: With the rapid development of mobile Internet in recent years, a large scale of continuous arrival correlative data, namely dynamic streaming graph, are extensively generated in various ...

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bDepartment of Health Metrics Sciences, University of Washington, Seattle, WA, USA ...

College of Information Science and Technology, Gansu Agricultural University, Lanzhou, China Introduction: Accurate identification of maize seed varieties is essential for enhancing crop yield and ...

Extends industry-first AI Mesh Data Classification to structured data, unifying risk visibility and adaptive enforcement across modern enterprise and distributed data environments Showcases these ...