The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

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 ...

Historic Milestone: Autonomous Robots Secure First Combat Victory The notion of machines fighting alongside — or instead of — human ...

People and Events Listen to those bird calls. From among the usual sounds, a familiar but rare one seems to emerge now-a-days with increasing regularity – the call of the KOHA (Asian Koel) – bringing ...

Abstract: In the field of autonomous driving, safe and efficient decision-making through deep reinforcement learning remains a significant challenge. Existing methods often struggle to adapt to the ...

Web3 is looking at a similar trajectory. The industry is pivoting from theoretical musings to measurable utility in 2026, with pragmatic progress taking root. Banks are increasingly deploying ...

Decision tree regression is a fundamental machine learning technique to predict a single numeric value. A decision tree regression system incorporates a set of virtual if-then rules to make a ...

Ischemic heart failure (IHF) is a major cause of cardiovascular morbidity worldwide, characterized by complex tissue remodeling and inflammation. However, reliable molecular biomarkers for early ...

Abstract: This paper attempts to develop and validate a new Sobel 12D algorithm to enhance the radiographic images to identify pulmonary fibrosis, an interstitial lung disease. Using a machine ...