A5100674546- Transportation Planning and Optimization
- Topic Modeling
- Urban Transport and Accessibility
- Traffic Prediction and Management Techniques
- Advanced Image Processing Techniques
- Transportation and Mobility Innovations
- Human Mobility and Location-Based Analysis
- Intelligent Tutoring Systems and Adaptive Learning
- AI in cancer detection
- Natural Language Processing Techniques
- Traffic control and management
- EEG and Brain-Computer Interfaces
- Chinese history and philosophy
- Advanced Manufacturing and Logistics Optimization
- South Asian Cinema and Culture
- Gaze Tracking and Assistive Technology
- Advanced Vision and Imaging
- Asian Culture and Media Studies
- Corporate Finance and Governance
- Advanced Image and Video Retrieval Techniques
- Image Processing Techniques and Applications
- Image and Signal Denoising Methods
- Robotic Path Planning Algorithms
- Sentiment Analysis and Opinion Mining
- Philippine History and Culture
Dalian Dermatosis Hospital
2020-2025
Beihang University
2024
Wuhan Institute of Technology
2022-2023
Southwest Jiaotong University
2023
China United Network Communications Group (China)
2016-2023
The University of Adelaide
2023
Sichuan University
2023
Guilin University of Aerospace Technology
2023
South China Agricultural University
2023
Dalian University of Technology
2020-2022
Umami peptides enhance the umami taste of food and have good processing properties, nutritional value, numerous potential applications. Wet testing for identification is a time-consuming expensive process. Here, we report iUmami-DRLF that uses logistic regression (LR) method solely based on deep learning pre-trained neural network feature extraction method, unified representation (UniRep multiplicative LSTM), from peptide sequences. The findings demonstrate significantly enhanced capability...
Travel time reliability, an essential factor in traveler route and departure decisions, serves as important quality of service measure for dynamic transportation systems. This article investigates a fundamental problem quantifying travel variability from its root sources: stochastic capacity demand variations that follow commonly used log-normal distributions. A volume-to-capacity ratio-based function point queue model are to demonstrate how day-to-day can be explained the underlying...
Oxalis debilis Kunth, an invasive plant native to South America, has already spread extensively throughout various regions in China including West China, East Central and China. It poses a certain degree of damage the local ecosystem demonstrates significant potential. Utilizing distribution information along with environmental variables such as bioclimate, soil factors, elevation, UV-B radiation, MaxEnt model combined ArcGIS was employed forecast potential O. The ROC curve assess accuracy...
Introduction Motor imagery electroencephalography (MI-EEG) has significant application value in the field of rehabilitation, and is a research hotspot brain-computer interface (BCI) field. Due to small training sample size MI-EEG single subject large individual differences among different subjects, existing classification models have low accuracy poor generalization ability MI tasks. Methods To solve this problem, paper proposes (EEG) joint feature algorithm based on instance transfer...
A key foundation for developing strategies aimed at improving the efficiency and reliability of an urban transportation network is identifying locations impact system bottlenecks. Although free-flow capacity queue discharge rates bottlenecks have traditionally been modeled as fixed values, they are in fact random variables. Therefore, assessing operational requires reliable realistic tools that account stochasticity pre-breakdown flow rates. Focusing on methodological analytic enhancements...
This paper aims to systematically evaluate benefits of traveler information provision strategies in a realistic environment with stochastic traffic demand, road capacity, and different degrees knowledge quality. Based on user equilibrium modeling framework, the proposed model uses multi-day representation scheme describe samples uncertain demand capacity supply, as well day-dependent travel time. A gap-function based optimization is further developed find solutions.
Two most challenging problems facing transportation planners and policymakers in many developing countries are rapid urban traffic growth lack of financial technical resources to conduct major planning studies, especially for assessing the impacts new sites land-uses. The conventional process, which is data time intensive, has been little value due related obstacles (inadequate database, funds, inadequate expertise, etc.). Advances computer technology, areas Geographic Information Systems...
Sentence Representation Learning (SRL) is a fundamental task in Natural Language Processing (NLP), with the Contrastive of Embeddings (CSE) being mainstream technique due to its superior performance. An intriguing phenomenon CSE significant performance gap between supervised and unsupervised methods, their only difference lying training data. Previous works attribute this differences two representation properties (alignment uniformity). However, since alignment uniformity measure results,...
Traffic monitoring is the process of observing and collecting data that describes use performance roadway systems. Strong effective traffic program not only improves mobility on roadways reliability decisions based data, but also ensures states are receiving appropriate federal funding. Rapidly evolving collection technologies; changing computing communication receiving, processing understanding big sets; economic, environmental geographic constraints for collection; many other general or...
AbstractThis paper develops a multiobjective optimization model to consider transportation impacts of the future development land. The output is best location and type land use that has minimal negative effects uses maximum available public infrastructure. It provides tools for both planners engineers enables them different scenarios possible policies development. Since multiple objectives their nonlinear structures are considered, solved using mixed integer programming. final results shown...
In special application scenarios, such as portable anesthesia depth monitoring, emotional state recognition and sleep electroencephalogram (EEG) signal acquisition equipment is required to be convenient easy use. It difficult remove electrooculogram (EOG) artifacts when the number of EEG channels small, especially observed signals less than that source signals, overcomplete problem will arise. The independent component analysis (ICA) algorithm commonly used for artifact removal requires...
Measuring traffic congestion is a key element of Congestion Management Systems (CMS) and utilized to document information make decisions regarding existing problems. With the improvement Global Positioning (GPS) technologies, amongst other Intelligent Transportation (ITS) components, various data collection procedures can be performed more efficiently. This paper examines travel time methods. Data approach introduced non-parametric statistical analysis three different methods, namely GPS,...
Mobile Crowd Sensing (MCS) is an emerging paradigm that leverages sensor-equipped smart devices to collect data. The introduction of MCS also poses some challenges such as providing high-quality data for upper layer applications, which requires adequate participants. However, recruiting enough participants provide the sensing free hard platform under a limited budget, may lead low coverage ratio area. This paper proposes novel method choose uniformly distributed in specific area based on...
In this paper, we proposes a method to analyze and evaluate the quality of experience (QoE) in mobile terminals using "big data". The feature parameters key indicator (KQI) are obtained from operators quantized through use scoring system. Then scores customer (CEI) QoE calculated based on our proposed analytical model. combination with data market operation, terminal evaluation contribute offer effective suggestions promotion terminal.