Abstract: Photoplethysmography (PPG) is a widely used low-cost, noninvasive heart rate (HR) monitoring signal in smart wearable devices. However, the accuracy of HR measurement using PPG is often ...
Abstract: Content caching is a promising solution to overcome the backhaul traffic delay issue by caching content at the base station (BS). However, the performance of content caching is restricted by ...
Abstract: Submerged aquatic vegetation (SAV) is crucial for maintaining a clear-water state in lakes. Tracking the spatiotemporal changes in SAV is crucial for understanding the ecological evolution, ...
Abstract: The frequency-interleaved digital-to-analog converter (FI-DAC) could enhance the bandwidth of the arbitrary waveform generator (AWG). At present, the formulation of the FI-DAC model mainly ...
PReMM, an LLM-based program repair framework for Multi-Method Bugs. PReMM builds on three core components: the faulty method clustering component to partition the faulty methods into clusters based on ...
Abstract: Conventional semi-supervised learning (SSL) ideally assumes that labeled and unlabeled data share an identical class distribution; however, in practice, this assumption is easily violated, ...
Abstract: A physics-informed neural networks (PINNs) framework is proposed for electromagnetic-thermal cosimulation. The framework utilizes two coupled PINNs: The first solves the Helmholtz equation ...
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