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- ArticleJune 2024
Feasibility Verification of Ergonomic Design Based on Alert Indicators
Engineering Psychology and Cognitive ErgonomicsPages 48–56https://doi.org/10.1007/978-3-031-60731-8_4AbstractThe 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 ...
- research-articleMarch 2024
Multi-Robot Cooperative Pursuit-Evasion Control: A DeepReinforcement Learning Approach based on Prioritized Experience Replay
CCEAI '24: Proceedings of the 2024 8th International Conference on Control Engineering and Artificial IntelligencePages 120–127https://doi.org/10.1145/3640824.3640843Cooperative 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 ...
- research-articleMay 2024
Remote sensing enabled sustainable tomato plant health and pest surveillance using machine learning techniques
International Journal of Sensor Networks (IJSNET), Volume 44, Issue 4Pages 237–248https://doi.org/10.1504/ijsnet.2024.138509To 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 (...
- research-articleMarch 2024
Semisupervised Medical Image Segmentation through Prototype-Based Mutual Consistency Learning
International Journal of Intelligent Systems (IJIS), Volume 2024https://doi.org/10.1155/2024/9928155Medical 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 ...
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- research-articleMay 2024
L-CAD: language-based colorization with any-level descriptions using diffusion priors
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsArticle No.: 3375, Pages 77174–77186Language-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 ...
- research-articleNovember 2023
UltraSnoop: Placement-agnostic Keystroke Snooping via Smartphone-based Ultrasonic Sonar
ACM Transactions on Internet of Things (TIOT), Volume 4, Issue 4Article No.: 22, Pages 1–24https://doi.org/10.1145/3614440Keystroke 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 ...
- research-articleOctober 2023
SPLiT: Single Portrait Lighting Estimation via a Tetrad of Face Intrinsics
IEEE Transactions on Pattern Analysis and Machine Intelligence (ITPM), Volume 46, Issue 2Pages 1079–1092https://doi.org/10.1109/TPAMI.2023.3328453This 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 ...
- research-articleFebruary 2024
Fairness-Aware Computation Efficiency Maximization for Multi-UAV-Enabled MEC System
CNML '23: Proceedings of the 2023 International Conference on Communication Network and Machine LearningPages 403–407https://doi.org/10.1145/3640912.3640991Unmanned 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 ...
- ArticleDecember 2023
GCUNET: Combining GNN and CNN for Sinogram Restoration in Low-Dose SPECT Reconstruction
AbstractTo 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. ...
- research-articleOctober 2023
Research on a new-designed Venturi ejector and dazomet particle motion characteristics for dilute-phase pneumatic conveying systems based on CFD-DEM
Computers and Electronics in Agriculture (COEA), Volume 213, Issue Chttps://doi.org/10.1016/j.compag.2023.108240Highlights- 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 ...
- research-articleAugust 2023
An auxiliary source-based near field source localization method with sensor position error
Highlights- 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) ...
- research-articleJuly 2023
Shape From Polarization With Distant Lighting Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence (ITPM), Volume 45, Issue 11Pages 13991–14004https://doi.org/10.1109/TPAMI.2023.3298376This 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. ...
- research-articleMay 2023
Motion estimation based on projective information disentanglement for 3D reconstruction of rotational coronary angiography
Computers in Biology and Medicine (CBIM), Volume 157, Issue Chttps://doi.org/10.1016/j.compbiomed.2023.106743AbstractThe 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 ...
Highlights- 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 ...
- research-articleMarch 2023
Multi-omics characterization of RNA binding proteins reveals disease comorbidities and potential drugs in COVID-19
Computers in Biology and Medicine (CBIM), Volume 155, Issue Chttps://doi.org/10.1016/j.compbiomed.2023.106651AbstractThe 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 ...
Highlights- 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 ...
- research-articleSeptember 2023
TC-GAN: A Transformer-based Conditional Generative Adversarial Network for Low-Dose SPECT Image Reconstruction
ICMLC '23: Proceedings of the 2023 15th International Conference on Machine Learning and ComputingPages 341–347https://doi.org/10.1145/3587716.3587772Low-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 ...
- research-articleSeptember 2023
Low-Dose Sinogram Restoration in SPECT Imaging Based on Conditional Generative Adversarial Network and LSTM.
ICMLC '23: Proceedings of the 2023 15th International Conference on Machine Learning and ComputingPages 328–334https://doi.org/10.1145/3587716.3587770To 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 ...
- research-articleFebruary 2023
Polarization-aware low-light image enhancement
AAAI'23/IAAI'23/EAAI'23: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial IntelligenceArticle No.: 417, Pages 3742–3750https://doi.org/10.1609/aaai.v37i3.25486Polarization-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 ...
- research-articleNovember 2023
Reflection Removal With NIR and RGB Image Feature Fusion
IEEE Transactions on Multimedia (TOM), Volume 25Pages 7101–7112https://doi.org/10.1109/TMM.2022.3217446Removing 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 ...
- research-articleJanuary 2023
Polarization Guided HDR Reconstruction via Pixel-Wise Depolarization
IEEE Transactions on Image Processing (TIP), Volume 32Pages 1774–1787https://doi.org/10.1109/TIP.2023.3251023Taking 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,...