A5100643943- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced battery technologies research
- Iron and Steelmaking Processes
- Supercapacitor Materials and Fabrication
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Neural Network Applications
- UAV Applications and Optimization
- IoT Networks and Protocols
- Auction Theory and Applications
- Geoscience and Mining Technology
- Electrocatalysts for Energy Conversion
- Sentiment Analysis and Opinion Mining
- Catalytic Processes in Materials Science
- Machine Learning and ELM
- Web Data Mining and Analysis
- Age of Information Optimization
- Advanced Queuing Theory Analysis
- Caching and Content Delivery
- Complex Network Analysis Techniques
- Digital Transformation in Industry
- Neural Networks and Applications
University of Waterloo
2025
Bengbu University
2021-2024
China University of Geosciences
2013-2024
Bengbu Medical College
2021-2024
Anhui University of Technology
2024
National Engineering Research Center of Electromagnetic Radiation Control Materials
2024
Sun Yat-sen University
2022-2023
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2023
Wuhan University
2023
Second Affiliated Hospital of Harbin Medical University
2022
Vehicular computation offloading is a well-received strategy to execute delay-sensitive and/or compute-intensive tasks of legacy vehicles. The response time vehicular can be shortened by using mobile edge computing that offers strong power, driving these closer end users. However, the quality communication hard guarantee due obstruction dense buildings or lack infrastructure in some zones. Unmanned Aerial Vehicles (UAVs), therefore, have become one means establish links for two ends owing...
Vehicular communications provide effective means to improve road safety and traffic efficiency, as well high definition onboard infotainment services, capable of scaling from current connected cars future autonomous driving. Dedicated short-range (DSRC) Long Term Evolution vehicle-to-everything (LTE-V2X) are recognized being the two most promising technologies support such communications. For more than a decade, DSRC has been actively promoted by ETSI, IEEE, other standards organizations....
Due to the limited local computation resource, industrial vehicular requires offloading tasks with time-delay sensitive and complex demands other intelligent devices (IDs) once data is sensed collected collaboratively. This article considers partial of vehicles (IVs) multiple available IDs mobile edge computing (MEC), including unmanned aerial (UAVs), fixed-position MEC servers, optimize system cost execution time, energy consumption, ID rental price. Moreover, increase access probability IV...
Aqueous Zn‐ion batteries usually suffer from an inferior rate capability because of high internal resistance. Herein, nanostructured polypyrrole (PPy) composite aerogels are fabricated as the flexible cathode aqueous battery. Highly porous enable easy ion diffusion toward PPy and a low resistance 1.5 Ω cm −2 . A power density 11.7 kW kg −1 is thus achieved for battery at satisfactory energy 64.0 Wh , superior to other supercapacitors. The exhibits good flexibility, illustrated by...
Objective We aimed to assess whether high sensitivity c‐reactive protein (hsCRP) could predict the development of psoriatic arthritis (PsA) in patients with psoriasis. Methods analyzed data from a prospective cohort psoriasis without PsA at enrollment. Participants were assessed annually by rheumatologist for signs and symptoms PsA. Information on patient demographics, features, medications musculoskeletal was collected. hsCRP levels measured serum samples collected baseline using standard...
With offloading the tasks that mobile users (MUs) running in their devices (MDs) to data centers of remote public clouds, cloud computing (MCC) can greatly improve capacity and prolong battery life MDs. However, are generally far from MUs, thus long delay will be caused due transmission base station clouds over Internet. Mobile edge (MEC) is recognized as a promising technique augment computation capabilities MDs shorten delay. Nevertheless, compared with traditional MCC MEC has limited...
In recent years, remote sensing techniques such as satellite and drone-based imaging have been used to monitor Pine Wilt Disease (PWD), a widespread forest disease that causes the death of pine species. Researchers explored use imagery deep learning algorithms improve accuracy PWD detection at single-tree level. This study introduces novel framework for combines high-resolution RGB drone with free-access Sentinel-2 multi-spectral imagery. The proposed approach includes an PWD-infected tree...
The credit card is easy to use for online transaction or shopping. However, the fraud happens every day all over world and it hard manual detection. Many organizations including banks, information companies even government cost billions of dollars invent an automatic detection system. In this paper, we propose a deep network algorithm. log transform used handle data skew problems which exists in dataset. focal loss added training examples. experiments show our neural model outperforms other...
An accurate prediction of peak discharge in watersheds is critical not only for water resource management, but also understanding the complex relationships hydrological processes. In this study, a modified formula based on Chemicals, Runoff, and Erosion from Agricultural Management Systems (CREAMS) model was developed by introducing rainfall intensity soil moisture factors. The reliability proposed method tested with data 1464 storm events 41 applied to 256 five remaining typical using...
To analyze the necessity of venous thromboembolism (VTE) prophylaxis for patients undergoing high ligation and stripping great saphenous vein (GSV) to estimate efficacy safety different anticoagulant protocols in a single-center randomized controlled trial with large sample size. A total 2196 GSV were one following postoperative VTE protocols: group A, no ( n=542); B, subcutaneous low-dose unfractionated heparin (LDUH) hypodermic injection, 125 U/kg per day three divided doses n=531); C,...
As a new computing paradigm, cloud has received much attention from research and economics fields in recent years. Cloud resources can be priced according to several pricing options markets. Usage-based reserved schemes are commonly adopted by leading service providers (CSPs) such as Amazon Google. With more CSPs entering markets, the of is an important issue that they need consider. In this paper, we study how segment using hybrid order obtain maximum revenue means optimal what largely...
A novel strategy has been developed to synthesize a MOF and its derived tunnel structured MnO, which enables high discharging capacity.
With the recent proliferation of Internet-of-Things (IoT), enormous amount data are produced by wireless sensors and connected devices at edge network. Conventional cloud computing raises serious concerns on communi... | Find, read cite all research you need Tech Science Press
Ontology integration is an important work when several heterogeneous ontologies share or exchange their knowledge. It takes the two as input, and carries out three steps: (1) creating mappings for similar concepts from different based on ity calculation; (2) merging mapped into a new one, generating network-based model, called integrated model; (3) reconstructing model in order to obtain ontology (a tree-based model). However, methods of have not been well discussed. To this end, paper...
Point-of-Interest (POI) recommendation has been an important research topic in data mining and the popularity of location-based social networks (LBSNs) significantly contributed to POI recommendation. The existing models mostly adopt various explicit relationships under geographical space. implicit among users a certain region are rarely taken into account, though they have major influence on user behaviors. Due above limitations, we were motivated introduce innovative Deep Potential...