Abstract: In recent years, crowd counting has garnered increasing attention due to its wide range of societal applications. However, the vast differences in crowd density distributions across various ...

Abstract: X-ray safety inspection machines are essential for maintaining security. In the past few years, the rapid development and widespread application of deep learning have significantly ...

Abstract: Pose estimation and tracking of objects is a fundamental application in 3D vision. Event cameras possess remarkable attributes such as high dynamic range, low latency, and resilience against ...

Abstract: Oblique-chamber pneu-net soft actuators (OC-PNSAs) exhibit helical deformation upon inflation. The symmetric oblique-chamber pneu-net soft actuator (SOC-PNSA) consists of two symmetric ...

Abstract: Hyperspectral image (HSI) denoising is a crucial preprocessing step for subsequent tasks. The clean HSI usually reside in a low-dimensional subspace, which can be captured by low-rank and ...

Abstract: Accurate fault diagnosis is crucial to ensuring the stable operation of photovoltaic (PV) systems. With the increasing availability of condition monitoring data such as current-voltage (I-V) ...

Abstract: Federated learning (FL) is a novel paradigm for distribute edge intelligence for the Internet-of-Vehicles (IoV) application, which can enable superior performance in model training without ...

Abstract: With the development of remote sensing technology, more and more data sources are available for landcover classification tasks, such as hyperspectral images (HSIs), light detection and ...

Abstract: Integrated sensing and communication (ISAC) has emerged as a pivotal technology for next-generation mobile networks to embed sensing function on communication waveforms. A major challenge in ...

Abstract: Remote sensing images are significantly degraded by bad weather conditions, such as haze and sandstorms, which provide unhelpful support for valuable information extraction. Most existing ...

Abstract: The electrical-thermal characteristics of microfluidic cooled 3D-integrated circuits (3D-ICs) accounting for thermal metrics, including thermal resistance and pressure drop, and electrical ...

Abstract: This paper introduces a new classifier based on the Hellinger distance to overcome the challenges encountered by standard classifiers in accurately diagnosing seizure epilepsy using ...