Phillips & Associates reports AI algorithms are reshaping hiring practices, raising concerns over bias and legal ...
Scientists have developed AI-based system that can predict wheat yields early and with high accuracy using handheld field ...
This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
Abstract: We present a method for the unattended gray-box identification of sensor models commonly used by localization algorithms in the field of robotics. The objective is to determine the most ...
Abstract: Client selection can result in more homogeneous data and improve the generalization performance of the global model. In the actual training environment, the heterogeneity of client devices ...
This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies. Clinical ...
1 Department of Gynecology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China. 2 Department of Orthopedic Surgery, Affiliated Hospital of Youjiang Medical University ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Coal is a solid combustible organic rock formed from the ...
This comprehensive course covers the fundamental concepts and practical techniques of Scikit-learn, the essential machine learning library in Python. Learn to build, train, and evaluate machine ...