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 ...

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 ...

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

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

Kalyana Krishna Kondapalli, a patented AI innovator and educator who trained 50,000+ students, now leads U.S. government ...

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.

各位专家同道好，本期CDM月评（第九十八期）将分享近期的门静脉高压诊疗领域6篇文献（诊断监测4篇，多学科治疗2篇）。本期特邀月评专家：浙江大学医学院附属第二医院心血管内科刘琼教授，天津市第三中心医院消化科李隽教授，深圳市第三人民医院肝病科黄德良教授。