A5100785197- Advanced Vision and Imaging
- Image Processing Techniques and Applications
- Statistical Methods and Inference
- Optical measurement and interference techniques
- Nanoporous metals and alloys
- Data Management and Algorithms
- Image and Object Detection Techniques
- Image and Signal Denoising Methods
- Higher Education and Teaching Methods
- Advanced Database Systems and Queries
- Advanced Statistical Methods and Models
- Boron and Carbon Nanomaterials Research
- Robotic Path Planning Algorithms
- Electrocatalysts for Energy Conversion
- Online and Blended Learning
- Innovative Educational Techniques
- Synthesis and characterization of novel inorganic/organometallic compounds
- Electromagnetic wave absorption materials
- Metamaterials and Metasurfaces Applications
- Anodic Oxide Films and Nanostructures
- Asian Culture and Media Studies
- Impact of Light on Environment and Health
- Petri Nets in System Modeling
- Statistical Methods and Bayesian Inference
- Advanced Image Processing Techniques
Northwestern Polytechnical University
2018-2024
Huazhong University of Science and Technology
2009-2023
Jiangsu University
2023
China University of Petroleum, Beijing
2021
National University of Defense Technology
2020
Zhangzhou Vocational and Technical College
2017
Tongji Hospital
2017
Shanghai University of International Business and Economics
2016-2017
Shanghai University of Finance and Economics
2016
University of Science and Technology Beijing
2015
Abstract Metabolic syndrome (MetS) is a risk factor for erectile dysfunction (ED), but the underlying mechanisms are unclear. The aims of this study were to determine metabolic syndrome-related ED (MED). Sprague Dawley (SD) rats fed high-fat diet 6 months, and parameters then assessed. An apomorphine test was conducted confirm MED. Only with MED administered an intracavernosal injection either epidermal growth (EGF) or vehicle 4 weeks. Erectile responses evaluated by determining mean...
Self-supervised monocular depth estimation has succeeded in learning scene geometry from only image pairs or sequences. However, it is still highly ill-posed for self-supervised to generate high-quality maps with both global high accuracy and local fine details. To address this issue, we propose a novel frequency-based recurrent refinement scheme improve the estimation. Since representation can be correlated high/low frequency coefficients domain, coefficient (RDCR) scheme, which...
The synthesis problem is solved by constructing a system that fulfills given requirements when interacting with the environment, one of most crucial and challenging tasks in robotics. However, unexpected accidents will cause synthesized controllers multirobot to be invalidated.
Support vector machine has become a leading method in classifications and is one of the major topics supervised learning. Its simple idea fast implementation have made this widely used many areas, such as economics, natural science chemical engineering. Gaussian kernel most common support method, however, selection parameter σ not clear yet. In paper, we study based on separation cohesion. The data about evaluations Chuzhou Vocational Technical College. Our second goal paper to determine...
Multi-robot coordinated control has been practical. In order to apply multi-robot technique in cooperative task processing a great environment, we should allocate for robots and the robot locate itself environment. To solve allocation localization problem wireless sensor network, composed of center, gateway sensors, was presented multi-robot. improve working efficient multi-robot, optimization based mechanism proposed; by using ant colony algorithm, solution got informed via network center....
Query-driven learned estimators are accurate, flexible, and lightweight alternatives to traditional in query optimization. However, existing query-driven approaches struggle with the Out-of-distribution (OOD) problem, where test workload distribution differs from training workload, leading performancedegradation. In this paper, we present CardOOD, a general learning framework designed construct robust cardinality that resilient against OOD problem. Our focuses on offline algorithms develop...
Peer learning is one method to encourage meaningful in electrical engineering courses. It involves the sharing of ideas, knowledge, and experiences emphasizes interpersonal learning. However, there are different viewpoints relation best way implement assess peer a lab environment, contemporary literature on online laboratories (OL) rarely explores opportunities. In this paper, we aim investigate benefits students' activity an electronics course. The key challenge was whether OL could ensure...
With fast growing data collected by the Fermi Large Area Telescope as a big problem, manual classification has become an impossible task for astronomers. In this paper, we propose novel framework using machine learning techniques gamma-ray object classification. We use random forest (RF) algorithm feature selection in order to achieve better performance. After extensive experimental study with incorporated, found best results can be obtained both active galactic nuclei (AGN) / pulsars (PSR)...
By using multi-sensor information resources for multi-information fusion, a large amount of describing crop characteristics can be obtained. Compared with single detection technology, fusion technology has the advantages rich and good fault tolerance. In this paper, we exploit complementary strengths two sensors by sensor approach to explore 3D object methods crops in dense scenes. This method fuses images point cloud data collected synchronously binocular camera lidar, uses visual generate...
College English is students public courses who dont major in English. The traditional examination mode has many defects, so online the future, intelligent test paper composition an important part of examination, this paper, according to characteristics test, design database on system. Firstly, make t requirement analysis about user, and algorithm; then, use entity relationship model concept based analysis; finally, logical structure design, following principles for meter, result table 10....
Multi-temporal remote sensing image registration is the key step of change detection, and because remarkable difference probably unknown sensor parameters, automatic different temporal images very difficult. Image based on Fourier-Mellin transform(FMT) a global phase correlation method, which Fourier Log-polar transform. This method finds transformation parameters for while working in frequency-domain it resilient to noise, occlusions so on. In this paper, an improved approach algorithm...