The designers usually expect to ensure the best alertness level of operators through ergonomic design, to ensure that operators obtain better performance. But it is unclear whether ergonomic design can be based on alertness and which dimensions of ...

Data processing is a key challenge for computationally limited Ground Users (GUs) in various applications. Unmanned Aerial Vehicles (UAVs) equipped with Multi-access Edge Computing (MEC) servers can assist GUs by offloading their computing tasks. ...$$$$

Cooperative pursuit systems based on traditional model control rules are less adaptable and less robust to complex dynamic environments. In this paper, we study the cooperative pursuit-evasion with collision avoidance in multi-robot systems. We first ...

To ensure long-term food security, it's vital to detect pests and diseases in crops. Traditional monitoring methods are labour-intensive and lack real-time info, leading to ineffective interventions. To address this, an advanced plant health monitoring (...

Medical image segmentation is a critical task in the healthcare field. While deep learning techniques have shown promise in this area, they often require a large number of accurately labeled images. To address this issue, semisupervised learning has ...

Language-based colorization produces plausible and visually pleasing colors under the guidance of user-friendly natural language descriptions. Previous methods implicitly assume that users provide comprehensive color descriptions for most of the objects ...

Keystroke snooping is an effective way to steal sensitive information from the victims. Recent research on acoustic emanation-based techniques has greatly improved the accessibility by non-professional adversaries. However, these approaches either require ...

This paper proposes a novel pipeline to estimate a non-parametric environment map with high dynamic range from a single human face image. Lighting-independent and -dependent intrinsic images of the face are first estimated separately in a cascaded ...

Unmanned Aerial Vehicles (UAVs) equipped with Multi-Access Edge Computing (MEC) servers can assist Terminal Devices (TDs) in offloading data tasks. In this paper, we investigate a resource allocation and trajectory optimization problem of multiple UAVs ...

To reduce the potential radiation risk, low-dose Single Photon Emission Computed Tomography (SPECT) is of increasing interest. Many deep learning-based methods have been developed to perform low-dose imaging while maintaining image quality. ...

• Developed a simulation model to study the Venturi ejector by CFD-DEM.
• Designed simulation experiments Based on the Box–Behnken experimental method.
• Established multiple linear regression models between each factor and response ...

To disperse dazomet, a commonly used soil fumigant for soil disinfection, over large soil surfaces, dilute-phase pneumatic conveying can be utilized. Currently, most research has focused on pneumatic conveying systems for large particles, such as ...

• The proposed method can achieve accurate location of near-field sources with sensor position error.

In order to avoid the influence of errors brought by simplified model and sensor position error on near-field source location, a non-uniform linear array source location algorithm using precise model and based on auxiliary source (AS) ...

This article presents a new approach for surface normal recovery from polarization images under an unknown distant light. Polarization provides rich cues of object geometry and material, but it is also influenced by different lighting conditions. ...

The 2D projection space-based motion compensation reconstruction (2D-MCR) is a kind of representative method for 3D reconstruction of rotational coronary angiography owing to its high efficiency. However, due to the lack of accurate motion ...

• The FSDDP algorithm reduces repetitive calculation without decreasing accuracy.
• The PAMD model disentangles the overlapping projective information.
• Our 2D-PID-MCR estimates the motion efficiently and precisely for 3D ...

The COVID-19 has led to a devastating global health crisis, which emphasizes the urgent need to deepen our understanding of the molecular mechanism and identifying potential antiviral drugs. Here, we comprehensively analyzed the transcriptomic ...

• Transcriptomic and proteomic profiles of 178 COVID-19 patients were profiled and analyzed.
• RNA binding proteins were likely to be perturbed in infection and interacting with viral proteins.
• Interactome analysis revealed that RBPs ...

Low-dose single photon emission computed tomography (SPECT) technology can reduce radiation damage to the subject but lead to reconstructed image quality degradation, such as severe noise and artifacts. Many existing works utilize convolutional neural ...

To address the problem that low-dose SPECT imaging will lead to poor-quality projection images, we propose a network structure based on the conditional generative adversarial network and add a convolutional LSTM module to combine the sequence features of ...

Polarization-based vision algorithms have found uses in various applications since polarization provides additional physical constraints. However, in low-light conditions, their performance would be severely degenerated since the captured polarized ...

Removing undesirable reflections in photographs benefits both human perceptions and downstream computer vision tasks, but it is a highly ill-posed problem based on a single RGB image. Different from RGB images, near-infrared (NIR) images captured by an ...

Taking photos with digital cameras often accompanies saturated pixels due to their limited dynamic range, and it is far too ill-posed to restore them. Capturing multiple low dynamic range images with bracketed exposures can make the problem less ill-posed,...