Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic of theirs. An ANN is a machine learning model. Like all machine learning ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

After Class 12, students interested in Artificial Intelligence can choose from several education paths — short 1-year ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

With the onset of decentralized finance, the wave of blockchain innovations has also gotten a spark, as many projects are trying to revolutionize the space. Ozak AI is a presale project that ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

What if we told you that the secret to healthier soil, cleaner ecosystems, and smarter farming isn't buried in a high-tech lab—but hidden in the data ...

Remarkable Achievement by Guwahati Student Huma Abia Kanta, a Class XII student from Royal Global School in Guwahati, Assam, ...