Explore the advantages of space vector modulation for three-phase inverters, including improved performance and reduced ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

MRI radiomics model uses pituitary scans to accurately predict growth hormone deficiency in children, providing a ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Unlike conventional sustainability audits, which require time-consuming data collection and hardware deployment, this ...

DenseWolf-K, a hybrid AI framework, achieved 99.64% accuracy in brain tumour MRI classification, revolutionising medical ...

A research team has developed a novel way to detect disease resistance in loblolly pine (Pinus taeda L.) using near-infrared ...

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the development of single-qubit quantum neural network technology for ...

In transport, deep learning models are being used for traffic prediction and autonomous mobility networks. In environmental ...

The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...