Vinayak Godse, CEO, Data Security Council of IndiaAnthropic’s recent release of Claude Mythos Preview has drawn attention for ...

Researchers have developed a new methodology that uses artificial intelligence (AI) tools to identify and count target viruses more efficiently than previous techniques. The new approach can be used ...

ACUTE ischemic stroke outcome prediction may be improved by a reasoning enhanced large language model that can extract ...

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

Information retrieval systems are designed to satisfy a user. To make a user happy with the quality of their recall. It’s important we understand that. Every system and its inputs and outputs are ...

A progressive deterioration in kidney function over time is a hallmark of kidney disease, often known as Chronic Kidney Disease (CKD). This condition is a serious illness that, if not treated, can ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

Childhood asthma poses a significant threat to pediatric health, and traditional assessment methods are often inadequate in efficiency and accuracy. This study aims to develop a rapid assessment tool ...

Abstract: In this paper, network intrusion detection is proposed using an improved version of the support vector machine model to detect DoS attacks. Here, the SVM model considers the weight parameter ...

Researchers have developed an innovative approach to predict the working status of high-formwork support systems (HFSS) by combining finite element model (FEM) simulations with deep learning and large ...