This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Hanut Singh, a robotics application engineer, said roles like his are the future of the tech industry.

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

As a machine learning engineer, blending algorithmic concepts with ML is key. This repo aims to balance complexity and practicality, making algorithmic challenges approachable and engaging. python ...

The escalating sophistication of cyber threats poses significant risks to individuals, organizations, and nations. Cybercrime, encompassing activities like hacking and data breaches, has severe ...

Handwritten Digit Classification on MNIST Dataset, Utilising Only Traditional Machine Learning Techniques and a Custom Feature Extractor, achieving highest accuracy of 98.08% with the same.