Abstract: Unsupervised change detection (CD) algorithms typically identify changed areas by comparing pixels or ground objects in co-registered bi-temporal images. However, due to small viewpoint ...

Introduction: Myocardial ischemia can result in severe cardiovascular complications. However, the impact of clinical factors on myocardial ischemia in individuals with T2DM remains unclear. we applied ...

Background and aims: Pattern identification (PI) provides a basis for understanding disease symptoms and signs. The aims of this study are to extract features for identifying conventional PI types ...

Abstract: In change detection, impact of nonintrinsic changes such as those caused by illumination, season, and viewing angle variances are common in practice but also a great challenge for change ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. As machine learning continues to reshape the financial ...

A $3 million embezzlement at McElroy, Deutsch, Mulvaney & Carpenter suggests the firm was not employing a system of internal controls, said a consultant not involved in the litigation. The damage to ...

Artificial intelligence is inescapable nowadays. There’s generative AI to create an ad and AI platforms to manage campaigns. Your refrigerator and maybe even your toothbrush have AI embedded in them.

In today’s rapidly evolving business environment, talent and learning development (L&D) leaders are tasked with ensuring their programs drive measurable impact. But navigating the learning technology ...