That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Integrated structural and functional MRI identifies brain-based biomarkers that distinguish active from remissive Crohn’s ...

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

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Research suggests that being happier may help you avoid developing common chronic diseases. However, the benefits only seem ...

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 ...

Dosed First Patient in REVEAL Pivotal Trial in the Fourth Quarter of 2025. Additional enrollment continues to advance across ...

First patient dosed in REVEAL pivotal trial evaluating TSHA-102 (N=15, aged 6 to Reached written alignment with FDA on inclusion of =3 months of safety data from ASPIRE trial evaluating TSHA-102 (N=3 ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

Abstract: The aim of the study is to detect SMS spam using Support Vector Machine (SVM) and linear regression (LR). The dataset used in the study contains 5573 sentences, and accuracy is measured for ...

Abstract: Support vector regression (SVR), a machine learning method based on statistical learning theory, is an effective tool for sample training and data prediction. However, limited by its own ...