A5101905763- Traffic Prediction and Management Techniques
- Human Mobility and Location-Based Analysis
- Advanced Algorithms and Applications
- Cooperative Communication and Network Coding
- Advanced MIMO Systems Optimization
- Privacy-Preserving Technologies in Data
- Video Surveillance and Tracking Methods
- Nanomaterials for catalytic reactions
- Advanced Graph Neural Networks
- Advanced Wireless Communication Techniques
- Advanced Data Compression Techniques
- Catalytic Processes in Materials Science
- Tensor decomposition and applications
- Cloud Computing and Resource Management
- Gaze Tracking and Assistive Technology
- Internet Traffic Analysis and Secure E-voting
- Hand Gesture Recognition Systems
- Hydrocarbon exploration and reservoir analysis
- Adversarial Robustness in Machine Learning
- Privacy, Security, and Data Protection
- Supply Chain and Inventory Management
- Complex Network Analysis Techniques
- Automated Road and Building Extraction
- Advanced Wireless Communication Technologies
- Autonomous Vehicle Technology and Safety
Jiangxi University of Traditional Chinese Medicine
2024
University of Leeds
2024
University Research Co (United States)
2023
Southwest Minzu University
2011-2023
Guangzhou Automobile Group (China)
2023
Sun Yat-sen University
2017-2023
Shenyang Institute of Engineering
2023
Chang'an University
2023
Bridge University
2023
Walmart (United States)
2020-2022
Abstract Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, United States Centers for Disease Control Prevention (CDC) partnered with academic research lab University of Massachusetts Amherst to create US Forecast Hub. Launched in April 2020, Hub is a dataset point probabilistic incident cases, hospitalizations, deaths, cumulative deaths due county, state,...
Network embedding maps a network into low-dimensional Euclidean space, and thus facilitate many analysis tasks, such as node classification, link prediction community detection etc, by utilizing machine learning methods. In social networks, we may pay special attention to user privacy, would like prevent some target nodes from being identified methods in certain cases. Inspired successful adversarial attack on deep models, propose framework generate networks based the gradient information...
Abstract Despite abundant accessible traffic data, researches on flow estimation and optimization still face the dilemma of detailedness integrity in measurement. A dataset city-scale vehicular continuous trajectories featuring finest resolution integrity, as known holographic would be a breakthrough, for it could reproduce every detail evolution reveal personal mobility pattern within city. Due to high coverage Automatic Vehicle Identification (AVI) devices Xuancheng city, we constructed...
 Gully erosion represents one of the most severe forms land degradation. In regional management decisions, gully density serves as a crucial metric. As an essential measure under China’s national strategy for protecting black soil, control projects rely on accurate simulation at scale to enable more efficient and precise management. Taking northeast Songnen typical soil region study area, this research employed stratified unequal probability systematic sampling method...
Trip data that records each vehicle's trip activity on the road network describes operation of urban traffic from individual perspective, and it is extremely valuable for transportation research. However, restricted by privacy, individual-level cannot be opened all researchers, while need very urgent. In this paper, we produce a city-scale synthetic vehicle dataset generating based historical data, where availability privacy protection are balanced. Privacy inevitably affects data....
We investigated how the stability of aqueous argon surface nanobubbles on hydrophobic surfaces depends gas adsorption, solid–gas interaction energy, and bulk concentration using molecular dynamics simulation with SPC/E water solvent. observed stable without pinning sites for longer than 160 ns, contrary to previous findings monoatomic Lennard-Jones In addition, hydrophobicity a substrate has an effect reduce requirement degree oversaturation bulk. found that enrichment layer, adsorption...
A suite of heavy oils from a single Eocene sandstone reservoir section in the Liaohe basin (northeastern China) was analyzed to study geological controls on oil viscosity, which spans range almost three orders magnitude. The heaviest are biodegraded, as determined absence n-alkanes and low relative amount isoprenoid alkanes. large variation viscosity can be explained by mixing, various extents, biodegraded with less degraded oils. This is supported simple mixing model, reproduces observed...
Abstract Background Carbon black, which has a low utilization rate, is powdered carbon material produced by incomplete combustion or decomposition of hydrocarbons. black used in rubber, coating and ink industries, the product quality will be affected due to its powder structure, serious environmental pollution caused stacking process. However, as raw for preparation porous materials with high volatile organic compounds (VOCs) adsorption capacity, can realize resource protection. Results...
A two-dimensional basin-modeling study was employed to analyze the petroleum generation and migration history of Qingshui sag in western depression Liaohe basin, northeast China. The Eocene–Oligocene ES4 ES3 members Shahejie Formation (ES) are most important source rocks responsible for major hydrocarbon accumulations. Two sandstone beds fan-delta origin, Dujiatai (DJT) Xinglongtai (XLT), primary reservoir area. model indicates that two systems can be differentiated; they separated by thick...
Solvent-stabilized Pt, Rh, and Ru colloidal nanoparticles were synthesized by a microwave-polyol process. They characterized TEM XPS, XRD, UV-vis examination. These colloids have small particle sizes with narrow size distribution, they stable in glycol upon storage under ambient condition for months. Separation XPS characterization of the intermediate demonstrated two-step mechanism formation solvent-stabilized metal via hydrolysis.
Shuffled frog leaping algorithm (SFLA) is a population-based novel and effective meta-heuristics computing method, which received increasing focuses from academic engineering optimization fields in recent years. Since SFLA combination of Memetic (MA) with strong local search (LS) ability particle swarm (PSO) good global (GS) capability, it optimum-searching power easy to be implemented. This paper devoted investigate the shuffled solve an uncapacitated single level lot-sizing (SLLS) problem....
With the wider applications of mobile devices, network-based recommendation has attracted more attentions than ever. At present, most research recommender system is on basis either graph theory or algebraic methods. However almost all these algorithms are aiming at static history data, which cannot meet demand precise online for dynamic real-time emerging data. Besides, lots traditional suffered from high time complexity and parameter tuning difficulty. Here, we propose a personalized...
Recent studies indicate that changing the physical properties of lipid bilayers may profoundly change function membrane proteins. Here, effects dissolved nitrogen and oxygen molecules on mechanical stability are investigated using differential confocal microscopy, atomic force molecular dynamics simulations. All experiments evidence presence air gas in prepared without control. The degassed solutions softer less stable than those ambient solutions. High concentrations increase bending moduli...
In this paper, we focus on joint channel estimation (JCE) of multi-cell networks, which is the basis for application cooperative. For overcoming weakness that existing JCEs need power delay profile (PDP) knowledge all multiple cells remained same and known by receiver or pilot sequence sets being identical other limitations, paper presents a time domain correlation based JCE algorithm cooperative network when PDPs are not unknown derives corresponding Cramer-Rao bound (CRB). Then, using...
Abstract In order to master the tearing properties of Kapton membrane, main material inflatable antenna reflector, research on property membrane has been carried out based experiment, theoretical analysis and numerical simulation. The effects slit angle temperature were respectively considered in two groups central tests, whole propagation failure forms analyzed. According test results, it is found that four theories used predict its strength under different angles, goodness fit, Thiele...
Automatic number plate recognition (ANPR) systems, which have been widely equipped in many cities, produce numerous travel data for intelligent and sustainable transportation. ANPR operate at an individual level carry the unique identities of vehicles, can support personalized traffic planning. However, these systems also suffer from common problem missing data. Different traditional cases, we focus on loss vehicle records due to failure or other environmental factors. To address issue,...