Increased integration of renewable energy sources brings new challenges to the secure and stable power system operation. Operational emanating from reduced inertia, in particular, will have important repercussions on transient stability assessment (TSA). At same time, a rise “big data” system, development wide area monitoring systems, introduces paradigms for dealing with these challenges. Tran...

Precise vertebrae segmentation is essential for the image-related analysis of spine pathologies such as vertebral compression fractures and other abnormalities, well clinical diagnostic treatment surgical planning. An automatic objective system vertebra required, but its development likely to run into difficulties low accuracy requirement prior knowledge or human intervention. Recently, methods...

Abstract With the rapid development of artificial intelligence technology, commercial robots have gradually entered our daily lives. In order to promote product dissemination, shopping guide are a new service options commerce platforms that use tag recommendation systems identify users' intentions. A large number applications combine user historical tagging information with multi‐round dialogue...

—In this work we propose a new deep learning tool – deep dictionary learning. Multi-level dictionaries are learnt in a greedy fashion – one layer at a time. This requires solving a simple (shallow) dictionary learning problem; the solution to this is well known. We apply the proposed technique on some benchmark deep learning datasets. We compare our results with other deep learning tools like s...