Researchers from Sun Yat-sen University’s Shenzhen Campus, led by WenYuan Yang and Gege Jianga, have developed a decentralized federated learning framework, DFUN-KDF, to enhance UAV network efficiency ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning approaches when ...

Based on these challenges, there is a pressing need to develop more robust and adaptive techniques for ambiguity validation. Published (DOI: 10.1186/s43020-025-00167-8) on June 9, 2025, in Satellite ...

Ning Lin explains how reinforcement learning methods could help mitigate climate risk, despite uncertainty in climate change risk forecasts.

In recent years, a considerable amount of scientific research has been conducted on eye tracking, distance/online learning and machine learning. However, there is _disibledevent= 2934) were ...

Artificial intelligence (AI) refers to machine-based systems that analyze input data to generate predictions, recommendations, or decisions, 1 AI-based and machine learning (ML)-based technologies ...

Faults which are in close vicinity from the ends of the transmission line are cleared with prolonged delays due to pessimistic setting of distance relays. A communication system based Accelerated Trip ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

Unifying machine learning methods with I-Con In a broader sense, many machine learning algorithms are like this party scene, with slight variations in how guests (datapoints) find their friends and ...