Abstract: An accurate identification of the electricity consumption status of users is crucial in the development of smart grids. The nonintrusive load monitoring (NILM) technology plays a pivotal ...
Abstract: This paper proposes a novel meta-transfer learning method to improve automatic speech recognition (ASR) performance in low-resource languages. Nowadays, we are witnessing high interest in ...
This study investigates the structural relationships among golf instructors’ human service quality, customers’ emotional responses, customer satisfaction, and learning transfer in the context of golf ...
Energy Transfer is one of the largest midstream operators in North America. The business is largely fee-based, which provides reliable cash flows to cover the large 7.5% yield on offer. A key insider ...
There wasn't a more high-profile split this offseason than Carson Beck leaving Georgia for Miami. Beck initially declared for the NFL Draft but surprised many at the deadline by pulling his name out ...
Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning
This is a useful study that applies deep transfer learning to assign patient-level disease attributes to single cells of T2D and non-diabetic patients, including obese patients. This analysis ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results