A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

Learn how to implement linear regression from scratch in C++. A beginner-friendly guide to machine learning basics.

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

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

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 ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...

Abstract: A supervised machine learning (ML) algorithm is proposed for measuring refractive index (RI) values both below and above the RI of the fiber material using a multimode interference (MMI) ...