Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

In terms of diagnostic accuracy, ChatGPT's performance was evaluated based on its ability to correctly identify whether a ...

Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, ...

The increasing prevalence of myopia is a global health concern, with high myopia increasing the risk of vision damage. This ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

Instead of using the standard Frank-Wolfe algorithm, we adapt its variants and propose away-steps Frank-Wolfe and pairwise Frank-Wolfe covariate shift algorithms to correct the covariate shift. The ...