Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

The latest information from the National Intellectual Property Administration shows that Guangzhou Pearl River New Town Energy Co., Ltd. applied for a patent titled "A Load Forecasting Method for ...

Besides building analytical solutions for a large-scale organization, Sree Hari Subhash, an international IT expert, has ...

For example, the training time for algorithms such as Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) could be greatly reduced, thereby improving model development efficiency.

The study involved 173 patients with COPD and 176 healthy controls, recruited between December 2017 and June 2023.

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

Scientists found that specific music genres can significantly reduce motion sickness, with joyful and soft music offering the ...

编者按：2025年8月22日，Journal of Advanced Research（中科院1区，IF: 13）在线发表南京大学医学院附属鼓楼医院李婕教授团队的一项系统综述和荟萃分析“Application of machine learning and deep learning in metabolic dysfunction-associated steatotic liver disea ...

2025年8月，周敏教授和瞿介明教授在《Respiratory Research》 【IF 5，Q1】杂志在线发表题名为“Integrating CT radiomics and clinical features using machine learning to predict post-COVIDpulmonary fibrosis.”——利用机器学习整合CT放射学和临床特征预测新冠肺炎后肺 ...

AI is transforming traditional PID controllers with adaptive tuning, predictive maintenance, and smarter control, boosting ...