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 ...

A six-metabolite plasma panel was developed and validated for gastric cancer (GC) diagnosis using UPLC-MS and machine ...

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

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

Aiming at the reinforcement learning controller design under continuous state space, a new Q-learning method based on a support vector machine (SVM) was proposed., 针对连续状态空间下的强化学习控制问题，提出一种基于支持向量机的Q学习方法 ...

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

近日，金肯职业技术学院建筑与土木工程学院教师肖寇晨作为第一作者，以金肯职业技术学院作为第一作者单位，在国际材料科学领域知名SCI期刊《Frontiers in Materials》上发表了题为《Prediction of compressive ...

Drumil Joshi's AI forecasts renewable energy with 1-2% error and predicts water waste for scalable conservation.