Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...

AI tools are fundamentally changing software development. Investing in foundational knowledge and deep expertise secures your career long-term.

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve looked at a bunch of options, and this list should help you find the best ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

This meta-analysis included articles that reported the diagnostic performance of deep learning algorithms based on dermatoscopy for detecting BCC. The quality and risk of bias in the included studies ...

Abstract: With the rapid development of computer vision technology, image classification algorithm based on deep learning has become a hot research and application field. At present, the mainstream ...

Abstract: Current traditional learning path planning methods are difficult to meet the needs of personalized learning, especially in immersive learning environments, where learners face problems such ...

Background In an extended time window, contrast-based neuroimaging is valuable for treatment selection or prognosis in patients with stroke undergoing reperfusion treatment. However, its immediate ...

Created this repository. 🔜 Working on Stage 1: Python & NumPy Refresh. First output: Data exploration with Pandas/Matplotlib. 🔜 Next: Implement Linear Regression with NumPy.

Deep learning-based prediction models outperformed traditional machine learning models, namely logistic regression, decision tree, naive Bayes, random forest, and support vector machine, on all the ...

Assessing mortality trends among patients with lip and oral cavity cancer due to tobacco consumption: A systematic analysis of the Global Burden of Disease-2021.