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.

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 ...

1 Faculty of Mathematics and Computer Science,, Felix Houphouët-Boigny University, Abidjan, Côte d’Ivoire. 2 Institute for Mathematical Research (IRMA), Abidjan, Côte d’Ivoire. 3 Higher Teacher ...

The Sign Language Recognition System (SLRS) is developed for a real-world scenario including 24 hand gestures, each representing a distinct letter (excluding letter J and Z). Each hand gesture is ...

I propose adding a Multiple Kernel Learning (MKL) module for kernel optimization in kernel-based methods (such as SVM) to scikit-learn. MKL is a more advanced approach compared to GridSearchCV, ...

Abstract: Driver drowsiness is a major cause of road accidents, especially for long-distance drivers, making monitoring and intervention essential. This paper proposes a novel method for detecting ...