That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

Pixelmator Pro for iPad brings advanced editing features to your tablet. Experience professional-grade image editing on the ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

The Vector Institute and Intellectual Property Ontario (IPON) have signed a memorandum of understanding (MOU) to enhance ...

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 ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Integrated structural and functional MRI identifies brain-based biomarkers that distinguish active from remissive Crohn’s ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...