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Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
A critical privilege escalation vulnerability affecting Azure Machine Learning (AML) has been discovered by cybersecurity ...
Cyber-physical systems (CPSs) are increasingly threatened by stealthy false data injection (SFDI) attacks, which compromise system integrity by manipulating control signals and introducing false ...
Breast cancer remains a global health challenge, demanding effective early detection and classification methods for improved patient outcomes. The integration of machine learning techniques has ...