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: Hyperspectral anomaly detection (HAD) is challenging especially when anomalies appear in the form of subpixels. Since the spectral signatures of anomalies in mixed pixels are mixed with ...

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: 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: Low-resolution characteristics of multispectral images restrict their usability. Various approaches (e.g., single-image super-resolution reconstruction (SISR) and pansharpening method) have ...

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: Feature selection is an effective data preprocessing technique. In some practical applications, features may continuously arrive one by one or by groups, and we cannot know the exact number ...

Abstract: Camouflaged objects often blend in with their surroundings, making the perception of a camouflaged object a more complex procedure. However, most neural-network-based methods that simulate ...