A5038287028- Robotics and Sensor-Based Localization
- Indoor and Outdoor Localization Technologies
- Energy Efficient Wireless Sensor Networks
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Underwater Vehicles and Communication Systems
- Advanced Neural Network Applications
- Industrial Vision Systems and Defect Detection
- Gait Recognition and Analysis
- Robot Manipulation and Learning
- 3D Surveying and Cultural Heritage
- Security in Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Visual Attention and Saliency Detection
- Human Pose and Action Recognition
- Face recognition and analysis
- Acute Ischemic Stroke Management
- Advanced Algorithms and Applications
- Embedded Systems and FPGA Design
- IoT-based Smart Home Systems
- Speech and Audio Processing
- Target Tracking and Data Fusion in Sensor Networks
- Modular Robots and Swarm Intelligence
Northeastern University
2016-2025
Capital Medical University
2014-2025
National Health and Family Planning Commission
2024
North China Electric Power University
2023
Northeastern University
2007-2022
National University of Defense Technology
2020-2022
Chinese Academy of Cultural Heritage
2021
Chinese Institute for Brain Research
2021
Energy Research Institute
2012-2021
Universidad del Noreste
2021
The effects and risks of endovascular thrombectomy 6 to 24 hours after stroke onset due basilar-artery occlusion have not been extensively studied.
Localization is one of the key techniques in wireless sensor network. The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce energy-based method. Then investigate self-localization methods. Since widespread adoption network, are different various applications. And there several challenges some special scenarios. this paper, present a comprehensive survey these challenges: non-line-of-sight,...
An effective indoor localization method of hybrid RSSI/TDOA is proposed to reduce the big errors occurred during RSSI and high cost paid by TDOA localization. It measures with iterative recursive weighted average filter, polynomial model obtained fitting measurement obtain model. Furthermore algorithm employed. The experiment results show that filter will improve accuracy on condition lower computation complexity, achieved more accurate in than log-normal shadowing Moreover, location...
With the development of wireless communication technology and intelligent mobile phone, positioning services based on Wi-Fi phone are increasingly demanded. In this paper, a fingerprint localization method is proposed basis important access points (IAP). For fingerprint, point with highest received signal strength (RSS) denoted as point. At stage, fingerprints chosen same IAP estimated from database. Then, distance AP repetition used to calculate similarity degree. The location which matches...
Object-level data association and pose estimation play a fundamental role in semantic SLAM, which remain unsolved due to the lack of robust accurate algorithms. In this work, we propose an ensemble associate strategy for integrating parametric nonparametric statistic tests. By exploiting nature different statistics, our method can effectively aggregate information measurements, thus significantly improve robustness accuracy association. We then present object framework, outliers-robust...
Rationale There are no randomized trials examining the best treatment for acute basilar artery occlusion in 6–24-hour time window. Aims To assess safety and efficacy of thrombectomy stroke due to patients within 6–24 h from symptom onset or last seen well. Sample size For an estimated difference 20% proportions primary outcome between two groups, 318 will be included 5% significance 90% power with a planned interim analysis after two-thirds sample (212 patients) have achieved 90 days...
The tumor suppressor PTEN (phosphatase and tensin homolog deleted on chromosome 10) is a lipid protein phosphatase. We report here that physically associates with the NR1 NR2B subunits of NMDA receptors (NMDARs) in rat hippocampus. Downregulating expression inhibits function extrasynaptic NMDARs decreases NMDAR surface expression, suggesting crucial role for endogenous modulation NMDAR-mediated neuronal function. Reducing also enhances Akt/Bad phosphorylation hippocampal neurons....
A remote mobile health monitoring system with phone and web service capabilities is proposed in this paper. It provides an end‐to‐end solution; specifically, (1) physiologic parameters, including respiration rate heart rate, are measured by wearable sensors recorded a which presents the graphical interface for user to observe his/her status more easily; (2) it doctors family members necessary data through enables authorized personnel monitor patient’s condition facilitate diagnosis; (3)...
Damage of the blood-brain barrier (BBB) increases incidence neurovascular complications, especially for cerebral hemorrhage after tPA (tissue-type plasminogen activator) therapy. Currently, there is no effective method to evaluate extent BBB damage guide use. Herein, we investigated whether blood levels tight junction proteins could serve as biomarker damages in acute ischemic stroke (AIS) both rats and patients. We examined this reflect permeability during ischemia/reperfusion effects...
Object SLAM is considered increasingly significant for robot high-level perception and decision-making. Existing studies fall short in terms of data association, object representation, semantic mapping frequently rely on additional assumptions, limiting their performance. In this article, we present a comprehensive framework that focuses object-based object-oriented tasks. First, propose an ensemble association approach associating objects complicated conditions by incorporating parametric...
Background and Purpose— We conducted this randomized controlled trial to investigate the effects of therapeutic hypothermia on mortality neurological outcome in patients with massive cerebral hemispheric infarction. Methods— Patients within 48 hours symptom onset were either a group or control group. given standard medical treatment plus endovascular target temperature 33 34°C. Hypothermia was maintained for minimum 24 hours. only normothermia. The primary end points modified Rankin Scale...
As users implicitly express their preferences to items on many real-world applications, the implicit feedback based collaborative filtering has attracted much attention in recent years. Pairwise methods have shown state-of-the-art solutions for dealing with feedback, assumption that prefer observed unobserved items. However, each user, huge are not equal represent her preference. In this paper, we propose a Multiple Ranking (MPR) approach, which relaxes simple pairwise preference previous...
The dynamic factors in the environment will lead to decline of camera localization accuracy due violation static assumption SLAM algorithm. Recently, some related works generally use combination semantic constraints and geometric deal with objects, but problems can still be raised, such as poor real-time performance, easy treat people rigid bodies, performance low scenes. In this paper, a scene-oriented visual algorithm based on object detection coarse-to-fine probability named CFP-SLAM is...
Localization in wireless sensor networks has attracted much attention recent years. Existing 3-D localization methods suffer from low accuracy and stability, especially for moving target tracking. The main objective of this paper is to design a novel algorithm GPS-denied environments that can achieve higher stability mobile without knowledge both measurement noise statistics motion information. One the key contributions proposed method, particle swarm optimization combined with...
In the case of long-term changing environment, visual localization is a challenging problem in autonomous driving and mobile robots. Due to influence season, illumination other weather conditions, traditional image retrieval methods are difficult achieve ideal results localization. Therefore, inspired by human brain associative recognition function, an based on multi-domain association-guided network proposed solve problem. The key idea extract discriminative domain-invariant features...
Symptomatic intracranial hemorrhage transformation (s-HT) is a serious complication of ischemic stroke, leading to early neurological deterioration and poor prognosis. It an urgent problem timely effectively identify high-risk patients with s-HT at the stage stroke. However, so far, there are no effective clinical detection methods or measures. Therefore, present study aimed explore novel blood biomarkers related s-HT. This includes two parts: retrospective prospective cohort study. In first...