Search Results - "Li, Zeming"
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A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS
Published in BMC medical informatics and decision making (02-07-2020)“…As a kind of widely distributed disease in China, acquired immune deficiency syndrome (AIDS) has been quickly growing each year, become a serious problem and…”
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Generalized Few-Shot Object Detection without Forgetting
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-01-2021)“…Recently few-shot object detection is widely adopted to deal with data-limited situations. While most previous works merely focus on the performance on…”
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Conference Proceeding -
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OTA: Optimal Transport Assignment for Object Detection
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-01-2021)“…Recent advances in label assignment in object detection mainly seek to independently define positive/negative training samples for each ground-truth (gt)…”
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Conference Proceeding -
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Learning Dynamic Routing for Semantic Segmentation
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-01-2020)“…Recently, numerous handcrafted and searched networks have been applied for semantic segmentation. However, previous works intend to handle inputs with various…”
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Conference Proceeding -
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Cooperative Spacing Sampled Control of Vehicle Platoon Considering Undirected Topology and Analog Fading Networks
Published in IEEE transactions on intelligent transportation systems (01-10-2022)“…The work on this paper studies the combined effect of vehicle dynamics, sampling period and the quality of inter-vehicle sensing and communication on the…”
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Fully Convolutional Networks for Panoptic Segmentation
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-01-2021)“…In this paper, we present a conceptually simple, strong, and efficient framework for panoptic segmentation, called Panoptic FCN. Our approach aims to represent…”
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Conference Proceeding -
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Optimization of Main Canal Parameters in the Area of Hydraulically Most Advantageous Sections
Published in Nauka i tekhnika (Minsk, Belarus : 2012) (06-06-2023)“…The main canals of reclamation systems, along with the best economic performance, must also meet the requirements for connecting the conductive network in the…”
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Journal Article -
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Analysis of the Impact of Media Trust on the Public's Motivation to Receive Future Vaccinations for COVID-19 Based on Protection Motivation Theory
Published in Vaccines (Basel) (26-11-2021)“…: Media trust is one of the essential factors affecting health behavior. Based on the protection motivation theory (PMT), this study explores the impact of…”
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Reduced graphene oxide coated with amorphous lead as positive additive for enhanced performance of lead–carbon batteries
Published in Electrochemistry communications (01-12-2023)“…Composites of reduced graphene oxide coated with amorphous lead (Pb/rGO) were prepared by electrostatic adsorption and hydrothermal methods, and used as…”
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N-doped reduced graphene oxide loading nano lead oxide as negative additive for enhanced properties of lead-carbon batteries
Published in Electrochemistry communications (01-01-2023)“…•The N-rGO/PbO composite of PbO nanoparticles uniformly distributed on rGO was synthesized through an efficient route.•Inhibiting the HER and alleviating the…”
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Energy-Efficient Resource Allocation With Hybrid TDMA-NOMA for Cellular-Enabled Machine-to-Machine Communications
Published in IEEE access (2019)“…Machine-to-machine (M2M) communications, which are considered as an integral part of the Internet of Things (IoT), are being more and more ubiquitous…”
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The impact of vaccine hesitation on the intentions to get COVID-19 vaccines: The use of the health belief model and the theory of planned behavior model
Published in Frontiers in public health (14-10-2022)“…During the later period of the COVID-19 pandemic, the public has been at risk of the evolving COVID-19 variants and hesitated to be vaccinated against COVID-19…”
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Energy-Efficient Resource Sharing Scheme With Out-Band D2D Relay-Aided Communications in C-RAN-Based Underlay Cellular Networks
Published in IEEE access (2019)“…Device-to-Device (D2D) communications and cloud radio access network (C-RAN) can improve Spectrum Efficiency (SE). However, extremely severe intra-cell…”
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Detecting unknown dams from high-resolution remote sensing images: A deep learning and spatial analysis approach
Published in International journal of applied earth observation and geoinformation (15-12-2021)“…•Automatic detecting unknown dams from high-resolution remote sensing images in broad areas.•Multi object detection models improves the recall rate of dam…”
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Exploration into the Influencing Factors for the Intention of the Public to Vaccinate against Infectious Diseases Based on the Theory of Planned Behavior-Example of the COVID-19 Vaccine
Published in Vaccines (Basel) (01-06-2023)“…The coronavirus disease 2019 (COVID-19) was applied as an example, and the Theory of Planned Behavior (TPB) was used as a conceptual model. This study aimed to…”
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Improving Energy-Efficiency for Resource Allocation by Relay-Aided In-Band D2D Communications in C-RAN-Based Systems
Published in IEEE access (2019)“…In device-to-device (D2D) communications underlaying cellular systems based on the cloud radio access network, including distributed remote radio heads (RRHs)…”
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Optimization of High-Temperature Electrolysis System for Hydrogen Production Considering High-Temperature Degradation
Published in Energies (Basel) (01-03-2023)“…Solid oxide electrolysis cells (SOECs) have great application prospects because of their excellent performance, but the long-term applications of the stacks…”
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Study on Road Network Vulnerability Considering the Risk of Landslide Geological Disasters in China’s Tibet
Published in Remote sensing (Basel, Switzerland) (01-09-2023)“…Road traffic is occasionally blocked by landslide geological disasters in remote mountainous areas, causing obstruction to economic society and national…”
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A Fusion Algorithm of Object Detection and Tracking for Unmanned Surface Vehicles
Published in Frontiers in neurorobotics (27-04-2022)“…To provide reliable input for obstacle avoidance and decision-making, unmanned surface vehicles (USV) need to have the function of sensing the position of…”
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