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 ...

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

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

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

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.

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 ...

Florence and the Machine will hand out the ultimate Halloween treat, with their new album, Everybody Scream, set to arrive on Oct. 31. The group confirmed the LP on social media Tuesday, Aug. 19, ...

Abstract: This study uses hyperparameter optimization to improve accuracy in classifying CKD or chronic kidney disease with the use of a Support Vector Machine algorithm or SVM. SVM is combined with ...