A5100391408- Recycled Aggregate Concrete Performance
- Video Surveillance and Tracking Methods
- Building Energy and Comfort Optimization
- Sustainable Supply Chain Management
- Supply Chain and Inventory Management
- Customer Service Quality and Loyalty
- Technology Adoption and User Behaviour
- Human Pose and Action Recognition
- E-commerce and Technology Innovations
- Big Data and Business Intelligence
- Transportation and Mobility Innovations
- Innovative concrete reinforcement materials
- Sustainable Building Design and Assessment
- Advanced Vision and Imaging
- Evaluation Methods in Various Fields
- Environmental Sustainability in Business
- Safety and Risk Management
- Urban Transport and Accessibility
- Supply Chain Resilience and Risk Management
- Fire Detection and Safety Systems
- Concrete and Cement Materials Research
- Smart Grid Energy Management
- Gaze Tracking and Assistive Technology
- Visual Attention and Saliency Detection
- Traffic Prediction and Management Techniques
Guangzhou University
2017-2024
Merck & Co., Inc., Rahway, NJ, USA (United States)
2024
Dalian Neusoft University of Information
2024
Liaoning University
2024
Qinghai University
2024
Dalian University of Technology
2014-2023
Southern Medical University
2023
Hangzhou Dianzi University
2022-2023
Shanghai Institute of Technology
2023
Wuhan University of Science and Technology
2023
The online car-hailing service has gained great popularity all over the world. As more passengers and drivers use service, it becomes increasingly important for providers to effectively schedule minimize waiting time of maximize driver utilization, thus improve overall user experience. In this paper, we study problem predicting real-time supply-demand, which is one most component an effective scheduling system. Our objective predict gap between supply demand in a certain area next few...
Visible-modal object tracking gives rise to a series of downstream multi-modal tributaries. To inherit the powerful representations foundation model, natural modus operandi for is full fine-tuning on RGB-based parameters. Albeit effective, this manner not optimal due scarcity data and poor transferability, etc. In paper, inspired by recent success prompt learning in language models, we develop Visual Prompt Tracking (ViPT), which learns modal-relevant prompts adapt frozen pre-trained model...
In this paper, we propose a novel weighted local cosine similarity (WLCS) and apply it to visual tracking. First, present the measure similarities between target template candidates, provide some theoretical insights on it. Second, develop an objective function model discriminative ability of components, use quadratic programming method solve obtain weights. Finally, design effective efficient tracker based WLCS simple update manner within particle filter framework. Experimental results...
Transformer-based visual trackers have demonstrated significant progress owing to their superior modeling capabilities. However, existing are hampered by low speed, limiting applicability on devices with limited computational power. To alleviate this problem, we propose HiT, a new family of efficient tracking models that can run at high speed different while retaining performance. The central idea HiT is the Bridge Module, which bridges gap between modern lightweight transformers and...
In the context of environmental protection, researches on thermal performance buildings represent a growing field, most which use variety linked calculating algorithms to maximize metrics. However, previous studies have done little investigated in balancing energy consumption and indoor comfort industrial buildings. With various combinations architecture design parameters, this paper aims optimize comprehensive clean plants. Matlab software was used for data preparation, deployment,...
Purpose The purpose of this paper is to reduce the problem temperature drift causing output errors in such sensors, three hardware compensation schemes are proposed paper, and designed implemented. Design/methodology/approach In response type sensor, proposes carries out design implementation schemes. Finally, advantages disadvantages discussed through analysis experimental results. methods series-parallel resistance network compensation, digital signal processor (DSP) joint DSP. Series...
Abstract We examine the role of trade credit insurance in a capital‐constrained supply chain with one (or two) loss‐neutral retailer(s) and loss‐averse manufacturer. model interplay between these participants as Stackelberg game analyze their operating financing decisions. In retailer case, we find that either manufacturer's high loss aversion level or retailer's low initial capital motivates manufacturer to adopt insurance. Insurance drives more attractive terms (a lower wholesale price),...
Abstract Demand disruptions are common during emergencies and typically accompanied by capacity constraints. Using a model in which firm sells products through an online platform channel offline direct channel, we study the effect of demand on presence constrained capacity. Our analysis reveals that prices both channels all subject to markup due absence disruptions. When disruption is sufficiently mild, adopts constant allocation strategy with sufficient limited fluctuates substantially,...
Dimensional accuracy is one of the most important quality indicators large shaft grinding, which directly affects service performance. Overcut/undercut caused by grinding wheel width and wear are main factors affecting dimensional can be described establishing physical models, models would further used for compensation. However, residual error always exists due to modeling uncertainty, has nonlinear relation with compensation value, hard completely eliminate. In order solve problem, this...
Abstract Objective Systematic literature reviews (SLRs) are critical for life-science research. However, the manual selection and retrieval of relevant publications can be a time-consuming process. This study aims to (1) develop two disease-specific annotated corpora, one human papillomavirus (HPV) associated diseases other pneumococcal-associated pediatric (PAPD), (2) optimize machine- deep-learning models facilitate automation SLR abstract screening. Methods constructed screening corpora...
In China, grassroots governments have attempted to introduce community planners into micro-renewal, using their expertise guide the design and implementation of micro-renewal. However, issues remain be studied resolved, including how effectively play planner role coordinate multiple parties' interests. This study constructed an evolutionary game model based on behaviors subjects with participation by planners, establish payment functions both sides under different choice strategies; explore...