Machine learning
Scientists at the National University of Singapore have made groundbreaking advancements in controlling fluid mechanics systems, particularly in the area of reinforcement learning. By leveraging the intrinsic symmetry of a flow system, researchers have developed a novel approach to training machine learning algorithms for fluid mechanics applications. This research, supported
Machine learning
Researchers at the Chongqing University of Technology have developed a new machine learning algorithm to estimate the temperature of key components in a vehicle's electric drive system (EDS). The high temperatures of the EDS can affect the performance and reliability of the system, making accurate temperature estimation crucial.
Machine learning
A team of researchers at Hubei University of Technology, led by Jiahui Chen, has made significant strides in machine learning by developing an improved version of the Tyrannosaurus Optimization Algorithm (TROA). The new algorithm, known as ITROA, has been successfully applied to abnormal traffic detection for Software-Defined Networking (SDN), achieving
Machine learning
A patent application for Translation Quality Assurance Based on Large Language Models, filed by inventors JIN, YUAN, LIU, XI XI, Matthiesen, Brian Robert, Sun, Wei, and Wang, Li ping, has been made available online. The application, filed on December 5, 2023, and posted on June 5, 2025, proposes a method,
Machine learning
A team of researchers from the Henan Academy of Agricultural Sciences has discovered that artificial intelligence can play a crucial role in improving plant disease resistance. By leveraging cutting-edge technologies such as deep learning and big models, the researchers were able to develop a more comprehensive understanding of plant disease
Machine learning
Investigations into the performance of artificial intelligence-based intrusion detection systems in the Internet of Things (IoT) environment have demonstrated significant improvements in cybersecurity. Research conducted by the University of Information Technology and Communications has shown that advanced Machine Learning (ML) and Deep Learning (DL) models can achieve high accuracy rates
Machine learning
Artificial intelligence researchers have made significant progress in developing a conversational agent that enables users to interact with large datasets related to satellite maneuvers. The agent, called SatChat, is designed to facilitate user interaction with maneuver detection systems using natural language. According to a study published in the Discover Artificial
Machine learning
Researchers at Sichuan University in Chengdu, People's Republic of China, have developed a miniaturized liver function detection system that utilizes machine learning to enhance its capabilities. The system, which integrates a quantitative detection algorithm based on grayscale processing and a semi-quantitative detection algorithm based on a convolutional neural
Machine learning
Research conducted by Zhejiang Provincial People's Hospital has developed a machine learning-based survival prediction model using data from the Surveillance, Epidemiology, and End Results (SEER) database. This model incorporates ten key prognostic factors, including AJCC TNM stage, tumor grade, primary surgery, and age, to provide accurate survival predictions
Machine learning
Researchers from Amsterdam University Medical Center have reported findings from a machine learning challenge aimed at predicting progression-free survival in patients with diffuse large B-cell lymphoma using a baseline F-FDG PET/CT radiomics dataset. While some radiomic-based machine learning models showed better performance than simple linear or logistic regression models,
Machine learning
Researchers from the Indian Institute of Technology (IIT) Jodhpur have proposed a new framework, FLAME, which integrates masked autoencoders and mean-prototypes embedding to improve the accuracy and convergence speed of federated learning for medical imaging tasks. This breakthrough has significant implications for medical diagnostics, particularly in applications where data is
Machine learning
Vietnamese scientists have successfully developed a remote sensing and artificial intelligence (AI)-based system to monitor water quality in Hao! Long Bay, a UNESCO World Natural Heritage site, and the adjacent Ca a La Y=c estuary. Led by VA(c) Anh Tuan from the Vietnam National Space Centre, the
