The dataset, which the researchers have made available on the Open Reaction Database, is nearly five times as large as the ...

What happens when media narratives, social media algorithms, and historical trauma collide? That was the focus of a powerful ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Abstract: In the medical field, a lot of unstructured information which is expressed by natural language exists in medical literature, technical documentation and medical records. IE (Information ...

One of the most deadly and dangerous volcano hazards isn’t lava. Mudflows called lahars can come without clear warning. In June 2024, early career geologist Gustavo Béjar López traveled to Guatemala ...

Abstract: An adaptive k-nearest neighbor algorithm (AdaNN) is brought forward in this paper to overcome the limitation of the traditional k-nearest neighbor algorithm (kNN) which usually identifies ...

An intrusion detection system (IDS) is a program used to monitor abnormal or irregular behavior in the operation of networks and systems. The system integrates multiple data sources and uses methods ...

Rockburst is a typical dynamic disaster in deep underground engineering, and its accurate prediction is of great significance to ensure the safety of engineering. Aiming at the key problems in ...

Machine learning algorithms are often categorized as lazy learners or eager learners based on how they learn and make predictions. Among these, the K-Nearest Neighbor (KNN) algorithm stands out as a ...

As we progress into 2025, Artificial Intelligence (AI) continues to reshape industries and revolutionize how we interact with technology. For those starting their journey in AI, it’s essential to ...

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects simply to a non-technical, business audience. Over… Supervised learning ...