A5046477283- Manufacturing Process and Optimization
- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Robotics and Sensor-Based Localization
- Advanced machining processes and optimization
- Injection Molding Process and Properties
- UAV Applications and Optimization
- Energy Efficiency and Management
- Advanced Machining and Optimization Techniques
- Video Surveillance and Tracking Methods
- Distributed Control Multi-Agent Systems
- Advanced Image and Video Retrieval Techniques
- Dielectric materials and actuators
- Metaheuristic Optimization Algorithms Research
- Air Traffic Management and Optimization
- Topic Modeling
- Epoxy Resin Curing Processes
- Adaptive Control of Nonlinear Systems
- Visual Attention and Saliency Detection
- Hydraulic and Pneumatic Systems
- Synthesis and properties of polymers
- Autonomous Vehicle Technology and Safety
- Data Mining Algorithms and Applications
- Traffic Prediction and Management Techniques
- Aviation Industry Analysis and Trends
Hohai University
2019-2024
Jiangsu University
2021
Shandong Transportation Research Institute
2019
Shandong University
2019
Civil Aviation University of China
2008-2017
Chongqing University
2015-2017
A self-driving car is a hot research topic in the field of intelligent transportation system, which can greatly alleviate traffic jams and improve travel efficiency. Scene classification one key technologies cars, provide basis for decision-making cars. In recent years, deep learning-based solutions have achieved good results problem scene classification. However, some problems should be further studied methods, such as how to deal with similarities among different categories differences...
Self-driving cars are a hot research topic in science and technology, which has great influence on social economic development. Deep learning is one of the current key areas field artificial intelligence research. It been widely applied image processing, natural language understanding, so on. In recent years, more deep learning-based solutions have presented self-driving achieved outstanding results. This paper presents review theories applications for cars. survey provides detailed...
With the rapid development of object detection technology for unmanned aerial vehicles (UAVs), it is convenient to collect data from UAV photographs. They have a wide range applications in several fields, such as monitoring, geological exploration, precision agriculture, and disaster early warning. In recent years, many methods based on artificial intelligence been proposed detection, deep learning key area this field. Significant progress has achieved deep-learning-based detection. Thus,...
Unmanned Aerial Vehicle (UAV) has been widely used in a variety of application, and the target search is one hot issues UAV research fields. Compared with single UAV, multi-UAV system can be competent for more complex tasks, higher execution efficiency stronger robustness. However, there exist some new challenges cooperative search, such as collaborative control area covering problems. To complete these tasks efficiently, problem modeled potential game, modified binary log linear learning...
Support vector regression (SVR) is one of the most powerful and widely used machine learning algorithms regarding prediction. The kernel type, penalty factor other parameters influence efficiency performance SVR deeply. optimization these held a hot issue. In this work, we propose based prediction approach using henry gas solubility algorithm (HGSO), which recent meta-heuristic inspired by Henry's law. First, are randomly generated in some certain ranges to form parameter population. Second,...
In order to solve the problem of control performance degradation caused by time delay in wave compensation system, predicting vessel heave motion can be input vector system alleviate problem. The belongs series, this paper proposes an improved Long Short-Term Memory (LSTM) model with a random deactivation layer (dropout), which deal series very well. obtain motion, establishes suitable for marine operation, and solves through mathematical motion. Finally, predicts short predicted series....
The process parameter optimization of laser cladding using a bio-inspired algorithm is hot issue and attracts the attention many scholars. biggest difficulty, at present, lack accurate information regarding function relationship between objectives parameters. In this study, novel approach for proposed based on multiobjective slime mould (MOSMA) support vector regression (SVR). particular, SVR used as bridge target parameters solving problem lacking relationship. As new metaheuristic...
Autonomous robots are a hot research subject within the fields of science and technology, which has big impact on social-economic development. The ability autonomous robot to perceive understand its working environment is basis for solving more complicated issues. In recent years, an increasing number artificial intelligence-based methods have been proposed in field scene understanding robots, deep learning one current key areas this field. Outstanding gains attained based learning. Thus,...
The low-light image enhancement is a challenging and hot research issue in the processing field. In order to enhance quality of images obtain full structure details, many algorithms have been proposed deep learning-based methods achieved great success this However, most learning require paired training data, which difficult obtain. And overall visual enhanced still not very satisfying. To deal with these problems, an unsupervised model based on improved Cycle-Consistent Generative...
Question Classification (QC) is the fundamental task for Answering Systems (QASs) implementation, and a vital task, as it helps in identifying question category. It plays big role predicting answer to while building QAS. However, classifying medical questions still challenging due complexity of terms. Many researchers have proposed different techniques solve these problems, but some problems remain partially solved or unsolved. With help deep learning technology, various text-processing...
Heterogeneous multi-robot system is one of the most important research directions in robotic field. Real-time path planning for heterogeneous under unknown 3D environment a new challenging and hot spot this In paper, an improved real-time method proposed system, which composed many unmanned aerial vehicles (UAVs) ground (UGVs). method, modelled as neuron topology map, based on grid combined with bio-inspired neural network. Then dynamic movement model multi-robots established Dragonfly...
In recent years, flight delay problem blocks the development of civil aviation industry all over world. And propagation always is a main factor that impacts flight's delay. All kinds delays often happen in nearly-saturated or overloaded airports. This paper we take one busy hub-airport as research object to estimate arrival this airport, and discuss influence within from airport. First, model described qualitatively mathematics after sorting analyzing relationships between flights,...