A5100445472- Soft Robotics and Applications
- Surgical Simulation and Training
- Teleoperation and Haptic Systems
- Robot Manipulation and Learning
- Advanced Graph Theory Research
- Limits and Structures in Graph Theory
- Reinforcement Learning in Robotics
- Advanced Vision and Imaging
- Advanced Computational Techniques and Applications
- Video Surveillance and Tracking Methods
- Dental Radiography and Imaging
- Muscle activation and electromyography studies
- Human Pose and Action Recognition
- MRI in cancer diagnosis
- Interconnection Networks and Systems
- Infrared Thermography in Medicine
- Advanced Decision-Making Techniques
- Advanced Sensor and Energy Harvesting Materials
- Electrical and Bioimpedance Tomography
- Micro and Nano Robotics
- Liver Disease Diagnosis and Treatment
- Grit, Self-Efficacy, and Motivation
- Robotics and Automated Systems
- Ultrasound Imaging and Elastography
- Evolutionary Algorithms and Applications
Guangdong University of Technology
2008-2025
Affiliated Hospital of Southwest Medical University
2022-2025
University of Shanghai for Science and Technology
2025
Tiangong University
2024
Nanchang University
2023-2024
Shandong Normal University
2023-2024
First Hospital of Shanxi Medical University
2024
Shanxi Medical University
2024
Third Affiliated Hospital of Zhengzhou University
2022-2024
Peking University
2020-2024
In the field of robotics, soft robots have been showing great potential in areas medical care, education, service, rescue, exploration, detection, and wearable devices due to their inherently high flexibility, good compliance, excellent adaptability, natural safe interactivity. Pneumatic occupy an essential position among because features such as lightweight, efficiency, non-pollution, environmental adaptability. Thanks its mentioned benefits, increasing research interests attracted...
Human activity recognition is a core problem in intelligent automation systems due to its far-reaching applications including ubiquitous computing, health-care services, and smart living. Due the nonintrusive property of smartphones, smartphone sensors are widely used for identification human activities. However, unlike vision or data mining domain, feature embedding from deep neural networks performs much worse terms accuracy than properly designed handcrafted features. In this paper, we...
Solanaceae, the nightshade family, have ∼2700 species, including important crops potato and tomato, ornamentals, medicinal plants. Several sequenced Solanaceae genomes show evidence for whole-genome duplication (WGD), providing an excellent opportunity to investigate WGD its impacts. Here, we generated 93 transcriptomes/genomes combined them with 87 public datasets, a total of 180 species representing all four subfamilies 14 15 tribes. Nearly 1700 nuclear genes from these...
Electroencephalography (EEG) is a common and significant tool for aiding in the diagnosis of epilepsy studying human brain electrical activity. Previously, traditional machine learning (ML)-based classifier are used to identify seizure by extracting features from EEG signals manually. Although effectiveness these contributions have already been proved, they cannot achieve multiple class classification with automatic feature extraction. Meanwhile, identifiable segment too long limit...
Fingerprinting based indoor positioning system is gaining more research interest under the umbrella of location-based services. However, existing works have certain limitations in addressing issues such as noisy measurements, high computational complexity, and poor generalization ability. In this work, a random vector functional link network approach introduced to address these issues. proposed system, subset informative features from many randomized selected both reduce complexity boost...
Accurately detecting tumors and estimating the depth of is essential in surgical removal tumors. In robotic-assisted surgery, autonomous robotic palpation has potential to provide more precise detection, tumors' estimation, less intrusion when normal tissues surround this article, by mimicking human finger touch, we propose a tactile sensing-based deep recurrent neural network (DRNN) with long short-term memory (LSTM) architecture improve accuracy detection estimation embedded soft tissue....
Extrachromosomal circular DNA (eccDNA) is a kind of that widely exists in eukaryotic cells. Studies recent years have shown eccDNA often enriched during tumors and aging, participates the development cell physiological activities special way, so people paid more attention to eccDNA, it has also become critical new topic modern biological research.We built database collect including animals, plants fungi, provide researchers with an retrieval platform. The collected eccDNAs were processed...
<title>Abstract</title> Primary gastro-intestinal lymphomas are the most common extra-nodal but there is no widely-accepted survival prognosis model. We interrogated data from 1 023 consecutive newly-diagnosed people with primary lymphoma. The sites were stomach (55%). Diffuse large B-cell lymphoma (DLBCL) was diagnosis (65%) followed by mucosa associated (MALT) (20%). In DLBCL, of those or intestine better compared small (P = 0.03) and multiple < 0.01). People DLBCL receiving R-CHOP...
Abstract Reading recognition for pointer-type pressure gauges based on computer vision is significant realizing unmanned monitoring and automatic calibration. Typical methods significantly rely identifying the scale ring pointer because they primarily obtain reading from angular displacement of pointer. For widely used economical gauges, errors can be caused by certain inherent defects, such as misalignment pointer’s rotation center center, which are insensitive to human eyes but fatal...
BACKGROUND Early detection of esophageal squamous neoplasms (ESN) is essential for improving patient prognosis. Optical diagnosis ESN remains challenging. Probe-based confocal laser endomicroscopy (pCLE) enables accurate in vivo histological observation and optical biopsy ESN. However, interpretation pCLE images requires histopathological expertise extensive training. Artificial intelligence (AI) has been widely applied digestive endoscopy; however, AI not reported. AIM To develop a...
How to enable robotic compliant manipulation has become a critical problem in the robotics field. Inspired by biomimetic adaptive control strategy, this article presents novel representation model named human-like movement primitives (Hl-CMPs) which could allow robot learn behaviors. The state-of-the-art approaches can hardly complete profiles for specific task. Comparatively, our encode task-specific parametric trajectories, correspondingly associated with dynamic trajectories including...
Robotic compliant manipulation is a very challenging but urgent research spot in the domain of robotics. One difficulty lies lack unified representation for encoding and learning profiles. This article aims to introduce novel control framework address this problem: 1) we provide parametric that enables skill be encoded space allows robot learn skills based on motion force information collected from human demonstrations; 2) updating laws profiles, including impedance are derived biomimetic...
Gesture recognition is an essential part in the field of human–computer interaction (HCI) and Internet Things system. Compared with existing technologies based on wearable sensors dedicated devices, approaches using WiFi channel state information (CSI) signals are more desirable for passive fine-grained gesture recognition. However, CSI-based systems usually suffer from high model complexity low accuracy caused by environmental dynamics. To address these issues, we propose a robust system...
The robotic technologies have been widely used in the operating room for decades.Among them, needle-based percutaneous interventions attracted much attention from engineering and medical communities.However, currently systems interventional procedures are too cumbersome, requiring a large footprint room.Recently developed light-weight puncture needle positioning able to reduce size, but has limitation of awkward ergonomics.In this article, we design compact guidance system that could...