A5100332399- Advanced SAR Imaging Techniques
- Radar Systems and Signal Processing
- Advanced Neural Network Applications
- Sparse and Compressive Sensing Techniques
- Robotic Path Planning Algorithms
- Direction-of-Arrival Estimation Techniques
- Underwater Vehicles and Communication Systems
- Speech and Audio Processing
- Robotics and Sensor-Based Localization
- Antenna Design and Optimization
- Microwave Imaging and Scattering Analysis
- EEG and Brain-Computer Interfaces
- Additive Manufacturing and 3D Printing Technologies
- Manufacturing Process and Optimization
- Advanced Battery Technologies Research
- Hydrocarbon exploration and reservoir analysis
- Quantum Mechanics and Non-Hermitian Physics
- Dam Engineering and Safety
- Nonlinear Photonic Systems
- Advanced Image and Video Retrieval Techniques
- Neural dynamics and brain function
- Power Systems and Renewable Energy
- Blind Source Separation Techniques
- Computational Drug Discovery Methods
- Smart Parking Systems Research
Chinese Academy of Medical Sciences & Peking Union Medical College
2024
Tiangong University
2024
Shaanxi University of Science and Technology
2024
Northeast Normal University
2022-2024
Central China Normal University
2024
Xi'an Jiaotong University
2019-2024
Shanghai Jiao Tong University
2023-2024
Northwestern Polytechnical University
2024
South China University of Technology
2024
North University of China
2024
Wound healing greatly affects patients' health and produces medical burden. Therefore, we developed a multifunctional electrospun nanofiber dressing, which can inhibit methicillin-resistant Staphylococcus aureus (MRSA), drain excessive biofluid to promote wound healing, simultaneously monitor pH level. The polyoxometalate (α-K6P2W18O62·14H2O, P2W18) oxacillin (OXA) are encapsulated in hydrophobic polylactide (PLA) synergistically MRSA. phenol red (PSP) is hydrophilic polyacrylonitrile (PAN)...
While text-3D editing has made significant strides in leveraging score distillation sampling, emerging approaches still fall short delivering separable, precise and consistent outcomes that are vital to content creation. In response, we introduce FocalDreamer, a framework merges base shape with editable parts according text prompts for fine-grained within desired regions. Specifically, equipped geometry union dual-path rendering, FocalDreamer assembles independent 3D into complete object,...
Following the development of autonomous underwater vehicles (AUVs), multiple trajectory-based submarine target information collection constitutes one key technologies that significantly influence ability and deployment efficiency. In this paper, we propose an AUV, O-AUV, can perceive omnidirectional area could detect a larger than traditional AUV. A 3D sensing model for O-AUV is proposed to describe complex spaces. Thereafter, cube-based environment involving candidate observation point...
The present work aims to develop a digital twin system for small-scale robot workstation intelligent manufacturing, based on ROS and Unity 3D. Such can be used remotely visualize, monitor control the manufacturing process, which is of great significance in development industrial automation manufacturing. In work, preliminarily developed pick-and-place task. To extend this framework enabling it more intelligent, we have considered integrating, our framework, 3D vision perception with deep...
This paper presents a novel method for the dynamic positioning of an unmanned underwater vehicle (UUV) with unknown trajectories based on autonomous tracking buoy (PUVV-ATB) that indirectly positions UUV using ultra-short baseline measurements. The employs spatial location geometric model and divides process into four steps, including data preprocessing to detect errors apply mean filtering, direction capture, position tracking, synchronization. To achieve these new adaptive control...
Abstract In the field of natural human–machine interaction, wearable gesture interaction technologies have received considerable attention, particularly continuous (CG) recognition. However, CG faces several challenges, including impact motion characteristics on recognition and performance that is not sufficiently robust. Traditional algorithms are highly dependent samples, thus meeting requirements low sample volume high accuracy simultaneously challenging. To address these we propose a...
With the development of science and technology, application chaos theory in various fields is increasingly receiving attention.Especially medical field, provides new theories methods for disease prediction, diagnosis, treatment, other aspects.This article first briefly reviews theory, followed by a comparative study numerical solutions Lorentz model.Finally, focuses on practical practice, looks forward to future trend emphasizes enormous potential personalized medicine, precision fields.
Background and Purpose Cardiac glycosides (CGs), traditionally prescribed for heart failure arrhythmias, show anticancer potential. However, their mechanisms preferential inhibition of tumour tissue constituent malignant cells are not fully elucidated. This study aims to elucidate the therapeutic benefits CGs in targeting specific tumours dissect multi‐targeting that confer cytotoxicity against cells. Experimental Approach We designed an integrated workflow identify with high toxicity...
Nowadays, many efficient palmprint recognition algorithms have emerged. However, previous can only be used in a single domain. Furthermore, they also require large amount of labeled data, which is difficult and costly to obtain. In order solve these problems, we proposed PalmGAN for cross-domain recognition. Firstly, the fake images were generated reduce domain gaps, whose styles are similar target domain, at same time, identity information remains unchanged. Based on images, supervised Deep...
The numerous applications of unmanned aerial vehicles (UAVs) have caused them to receive growing interest worldwide. However, misused UAVs significant public safety and privacy concerns. Therefore, developing an anti-UAV surveillance system is paramount importance. In this paper, we propose a radar-based UAV swarm approach. A frequency estimation-based approach used obtain coarse wave path difference estimate. Then, by combining the estimate from first stage with phase comparison method,...
Hepatocellular carcinoma (HCC) is one of the most common and malignant tumors with an insidious onset, difficult early diagnosis, limited therapy options, resulting in a poor prognosis. Cell division cycle associated 2 (CDCA2), also known as Repo-Man, plays important role regulating mitosis DNA repair, but involvement CDCA2 HCC remains unclear.The differentially expressed genes that were significantly upregulated multiple RNA sequencing datasets screened. Receiver operating characteristic...
Abstract This paper focuses on using Particle Filter (PF) and Back Propagation (BP) neural networks for RUL prediction. fusion strategy uses particle filtering battery system state estimation prediction while considering various types of noise uncertainties to assess the comprehensively. Furthermore, employs a BP network learn combine historical data patterns with estimation, improving accuracy reliability. study validates proposed method by comparing it original PF methods Toyota Motor...
Abstract Background The domain of brain–computer interface (BCI) technology has experienced significant expansion in recent years. However, the field continues to face a pivotal challenge due dearth high-quality datasets. This lack robust datasets serves as bottleneck, constraining progression algorithmic innovations and, by extension, maturation BCI field. Findings study details acquisition and compilation electroencephalogram data across 3 distinct dual-frequency steady-state visual evoked...
A model of a room impulse response (RIR) is useful for wide range applications. Typically, the early part RIR sparse, and its sparse structure allows accurate simple modeling RIR. The existing ℓ <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</inf> (0 < p ≤ 1)-norm-based methods suffer from sensitivity to user-selected regularization parameters or high computational burden. In this work, we propose reconstruct RIRs with Bayesian learning...
Amplitude comparison monopulse systems encounter the target resolution problem when multiple targets occupy same range-azimuth cell. To solve this problem, a new angle estimation approach is proposed. The traditional range-cell-based signal processing improved by modeling in frequency domain. Thus, range straddling loss and migration can be avoided. closely spaced cell well resolved jointly maximum likelihood of velocity targets. Then, estimates are extracted using ratio technique with...