Assessing Teacher Trainee’s Misconception of Derived and Fundamental Quantities in Measurement: A Quantitative Survey in Gambaga College of Education This study was conducted to uncover and analyze ...

A large-scale investigation of carnivoran brain diversity, providing a unified description of folding patterns, their relationship to behaviour and ecology, and the foundation for future ...

M.S. in Biodiversity Data Analytics Program Director Viorel Popescu examines why biodiversity commitments are running into a ...

The rise of antibiotic resistance has renewed interest in bacteriophages as therapeutic alternatives. However, co-evolution of phage and bacteria will naturally give rise to phage-resistant pathogens, ...

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

Space mining often sounds like a fast route to endless metals. In practice, the first question is simple: what are small ...

Background: Although the integration of self-monitored patient data into mental health care offers potential for advancing personalised approaches, its application in clinical practice remains largely ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: Deep learning algorithms have been successfully applied in the field of fault diagnosis. However, the deep learning-based diagnostic approaches require rich diverse samples to support model ...

Abstract: Multidimensional feature extraction and fusion algorithms are widely utilized to improve the performance of radar maritime target detection. However, these methods often suffer from ...