A5100433505- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Transportation and Mobility Innovations
- Human Mobility and Location-Based Analysis
- Vehicle Routing Optimization Methods
- Healthcare Operations and Scheduling Optimization
- Multi-Criteria Decision Making
- Risk and Portfolio Optimization
- Occupational Health and Safety Research
- Risk and Safety Analysis
- Evaluation and Optimization Models
- Data Management and Algorithms
- Evacuation and Crowd Dynamics
- Traffic and Road Safety
- Advanced Computational Techniques and Applications
- Game Theory and Applications
- Rough Sets and Fuzzy Logic
- Railway Systems and Energy Efficiency
- Traffic Prediction and Management Techniques
- Traffic control and management
- Optimization and Mathematical Programming
- Infrastructure Resilience and Vulnerability Analysis
- Geographic Information Systems Studies
- Supply Chain and Inventory Management
- Advanced Computing and Algorithms
Chongqing Jiaotong University
2022-2024
SGIDI Engineering Consulting (China)
2024
Institute of Physics
2024
University of Chinese Academy of Sciences
2022-2024
Southwestern University of Finance and Economics
2018-2024
China Telecom
2024
Chinese University of Hong Kong
2024
Shanghai Jiao Tong University
2020-2024
China Telecom (China)
2024
National University of Singapore
2005-2023
The problem of deriving the priority vector from a pairwise comparison matrix is at heart multiple-criteria decision-making problems. Existing prioritization methods mostly model inconsistency in relative preference–the ratio two preference weights–by allowing for small deviation, either additively or multiplicatively. In this study, we alternatively allow deviation each weights, which refer to as interconnection. Under framework, consider both additive and multiplicative cases define types...
Effective wound care and treatment require a quick comprehensive assessment of healing status. Here, we develop carbon dot-doped hydrogel sensor array in polydimethylsiloxane (PDMS) for simultaneous colorimetric detections five biomarkers and/or condition indicators (pH, glucose, urea, uric acid, total protein), leading to the holistic inflammation infection. A biogenic dot synthesized using an amino acid polymer precursor is doped agarose matrix constructing enzymatic sensors (glucose,...
Abstract The incorporation of randomness into stochastic computing can provide ample opportunities for applications such as simulated annealing, non‐polynomial hard problem solving, and Bayesian neuron networks. In these cases, a considerable number random numbers with an accurate configurable probability distribution function (PDF) are indispensable. Preferably, provided at the hardware level to improve speed, efficiency, parallelism. this paper, how spin‐orbit torque magnetic tunnel...
On-time delivery is of utmost importance in today’s urban logistics. However, travel times are uncertain and classical deterministic routing solutions often fail to ensure timely delivery. In this paper, a robust solution that exploits data determine the best routes for maximal proposed. A new decision criterion introduced, service fulfillment risk index (sri), which accounts both late arrival probability its magnitude. Together with Wasserstein distance–based ambiguity times, sri can be...
Abstract This paper takes the light storage and charging integrated microgrid system as research object, aiming to explore how maximize economy stability of system. firstly analyzes working characteristics light, system, operating photovoltaic, energy electric vehicle in establishes a reasonable mathematical model, based on which this carries out multi-objective optimization operation proposes an optimal strategy considering load peak valley transfer, basis, model with objectives minimizing...
Mesocrystals that consist of crystallographically aligned individual building blocks and controlled level porosity in between exhibit unique structures multifunctional behavior.
Motivated by rising concerns regarding global warming and traffic congestion effects, we study the time-dependent green vehicle routing problem with time windows (TDGVRPTW), aiming to minimize carbon emissions. The TDGVRPTW is a variant of (TDVRP) in which, addition window constraints, minimization emissions requires determination optimal departure times for vehicles, from both depot customer location(s). Accordingly, first exact method based on branch-cut-and-price (BCP) algorithm proposed...
Simulating human mobility contributes to city behavior discovery and decision-making. Although the sequence-based image-based approaches have made impressive achievements, they still suffer from respective deficiencies such as omitting depiction of spatial properties or ordinal dependency in trajectory. In this article, we take advantage above two paradigms propose a semantic-guiding adversarial network (TrajSGAN) for generating trajectories. Specifically, first devise an attention-based...
Patient features such as gender, age, and underlying disease are crucial to improving the model fidelity of surgery duration. In this paper, we study a robust scheduling problem augmented by patient feature segmentation. We focus on surgery‐to‐operating room allocations for elective patients future emergencies. Using data, classify into different types using machine learning methods characterize uncertain duration via feature‐based cluster‐wise ambiguity set. propose feature‐driven adaptive...
Retrosynthesis planning poses a formidable challenge in the organic chemical industry, particularly pharmaceuticals. Single-step retrosynthesis prediction, crucial step process, has witnessed surge interest recent years due to advancements AI for science. Various deep learning-based methods have been proposed this task years, incorporating diverse levels of additional knowledge dependency.