Youfu Li
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View article: AuralNet: Hierarchical Attention-based 3D Binaural Localization of Overlapping Speakers
AuralNet: Hierarchical Attention-based 3D Binaural Localization of Overlapping Speakers Open
We propose AuralNet, a novel 3D multi-source binaural sound source localization approach that localizes overlapping sources in both azimuth and elevation without prior knowledge of the number of sources. AuralNet employs a gated coarse-tof…
View article: Changes in Soil Properties, Content of Cd, and Cd-Resistant Bacterial Community with Biochar After One-Time Addition Under Soybean Continuous Cropping and Crop Rotation Patterns
Changes in Soil Properties, Content of Cd, and Cd-Resistant Bacterial Community with Biochar After One-Time Addition Under Soybean Continuous Cropping and Crop Rotation Patterns Open
In recent years, Cadmium (Cd) pollution in soybean farmland is severe. Therefore, this study focused on whether biochar influences soil physiochemical properties, the Cd content in soil and soybean grains, and the abundance and community s…
View article: Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation
Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation Open
Event cameras have gained attention in segmentation due to their higher temporal resolution and dynamic range compared to traditional cameras. However, they struggle with issues like lack of color perception and triggering only at motion e…
View article: Intelligent Network Security Optimization Algorithm Based on Cnns
Intelligent Network Security Optimization Algorithm Based on Cnns Open
To enhance the precision of security risk assessment and real‐time control in edge‐based intelligent networks, this article presents a novel risk assessment and control approach leveraging convolutional neural networks (CNNs). This method …
View article: Design and Control of Dual‐Body Negative Pressure Ground‐Wall Transition Robot
Design and Control of Dual‐Body Negative Pressure Ground‐Wall Transition Robot Open
This article presents a novel dual‐body negative‐pressure ground‐wall transition robot (DNPTR) aimed at expanding the application scenarios of climbing robots to meet the functional requirements of obstacle traversal and wall transition in…
View article: Towards Predictive Control of Trunk Internal Loads: Modeling Musculotendon Loads and Predicting Muscle Excitations
Towards Predictive Control of Trunk Internal Loads: Modeling Musculotendon Loads and Predicting Muscle Excitations Open
Low back pain is prevalent among industrial workers due to heavy lifting and poor posture, causing significant back injuries globally and affecting health and productivity. Existing back-support exoskeletons (BSEs) lack closed-loop control…
View article: FA‐CGI‐Net: A Network With Feature‐Based Attention Mechanism Joint by Co‐Coding Color–Geometric Information for Pepper Point Cloud Segmentation
FA‐CGI‐Net: A Network With Feature‐Based Attention Mechanism Joint by Co‐Coding Color–Geometric Information for Pepper Point Cloud Segmentation Open
Agriculture has benefited significantly from the development of AI technology in recent investigations, particularly promoted by deep learning. Feature‐based attention mechanism and color–geometric information co‐coding network (FA‐CGI‐Net…
View article: Spatially-guided Temporal Aggregation for Robust Event-RGB Optical Flow Estimation
Spatially-guided Temporal Aggregation for Robust Event-RGB Optical Flow Estimation Open
Current optical flow methods exploit the stable appearance of frame (or RGB) data to establish robust correspondences across time. Event cameras, on the other hand, provide high-temporal-resolution motion cues and excel in challenging scen…
View article: ResFlow: Fine-tuning Residual Optical Flow for Event-based High Temporal Resolution Motion Estimation
ResFlow: Fine-tuning Residual Optical Flow for Event-based High Temporal Resolution Motion Estimation Open
Event cameras hold significant promise for high-temporal-resolution (HTR) motion estimation. However, estimating event-based HTR optical flow faces two key challenges: the absence of HTR ground-truth data and the intrinsic sparsity of even…
View article: Optimizing Convolutional Neural Network-Long Short-Term Memory Architecture with Additive Attention Mechanism for Stock Price Prediction
Optimizing Convolutional Neural Network-Long Short-Term Memory Architecture with Additive Attention Mechanism for Stock Price Prediction Open
Stock price fluctuations reflect market expectations for the economic situation and company profits. Accurately predicting stock prices has become a hot topic in academia. With the rapid development of artificial intelligence, many researc…
View article: THE CORRELATION BETWEEN SHBG AND BLOOD LIPID AND GLUCOSE AMONG CHINESE MIDDLE-AGED AND OLDER ADULTS
THE CORRELATION BETWEEN SHBG AND BLOOD LIPID AND GLUCOSE AMONG CHINESE MIDDLE-AGED AND OLDER ADULTS Open
To investigate the correlation between sex hormone binding globulin (SHBG) of serum lipid and blood glucose in middle-aged and older adults (≥ 45 years old) We recruit participants in five urban communities in Ningxia province, using a clu…
View article: SLAM-based Joint Calibration of Multiple Asynchronous Microphone Arrays and Sound Source Localization
SLAM-based Joint Calibration of Multiple Asynchronous Microphone Arrays and Sound Source Localization Open
Robot audition systems with multiple microphone arrays have many applications in practice. However, accurate calibration of multiple microphone arrays remains challenging because there are many unknown parameters to be identified, includin…
View article: A Soft Supernumerary Robotic Limb with Fiber-Reinforced Actuators
A Soft Supernumerary Robotic Limb with Fiber-Reinforced Actuators Open
Supernumerary robotic limbs (SRLs) have great potentials to assist human in daily activities and industrial manufacturing by providing extra limbs. However, current SRLs have heavy and rigid structures that may threaten the operator safety…
View article: Event-based Video Frame Interpolation with Edge Guided Motion Refinement
Event-based Video Frame Interpolation with Edge Guided Motion Refinement Open
Video frame interpolation, the process of synthesizing intermediate frames between sequential video frames, has made remarkable progress with the use of event cameras. These sensors, with microsecond-level temporal resolution, fill informa…
View article: A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning
A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning Open
Recent advances in event-based research prioritize sparsity and temporal precision. Approaches learning sparse point-based representations through graph CNNs (GCN) become more popular. Yet, these graph techniques hold lower performance tha…
View article: Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction
Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction Open
Predicting pedestrian motion trajectories is crucial for path planning and motion control of autonomous vehicles. Accurately forecasting crowd trajectories is challenging due to the uncertain nature of human motions in different environmen…
View article: Multiturn Injection Design and Optimization for XiPAF-Upgrading Synchrotron
Multiturn Injection Design and Optimization for XiPAF-Upgrading Synchrotron Open
XiPAF (Xi’an 200MeV proton application Facility) synchrotron is using H - stripping injection and phase space painting scheme. With the demand of more particle species for single event effect study, XiPAF synchrotron has been upgraded to m…
View article: A rehabilitation robot control framework with adaptation of training tasks and robotic assistance
A rehabilitation robot control framework with adaptation of training tasks and robotic assistance Open
Robot-assisted rehabilitation has exhibited great potential to enhance the motor function of physically and neurologically impaired patients. State-of-the-art control strategies usually allow the rehabilitation robot to track the training …
View article: ANMS: Asynchronous Non-Maximum Suppression in Event Stream
ANMS: Asynchronous Non-Maximum Suppression in Event Stream Open
Non-Maximum Suppression (NMS) is an essential post-processing algorithm that is widely used in frame-based tasks. However, executing NMS in asynchronous event streams results in frequent discontinuities and high computational complexity, w…
View article: Effect of an Emergency Department Process Improvement Package on Suicide Prevention
Effect of an Emergency Department Process Improvement Package on Suicide Prevention Open
Importance Suicide is a leading cause of deaths in the US. Although the emergency department (ED) is an opportune setting, ED-initiated interventions remain underdeveloped and understudied. Objective To determine if an ED process improveme…