Search Results - "Jin, Peter"
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1
Collectivism predicts mask use during COVID-19
Published in Proceedings of the National Academy of Sciences - PNAS (08-06-2021)“…Since its outbreak, COVID-19 has impacted world regions differentially. Whereas some regions still record tens of thousands of new infections daily, other…”
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2
Segmentation is Tracking: Spatial-Temporal Map Vehicle Trajectory Reconstruction and Validation
Published in IEEE transactions on intelligent transportation systems (01-12-2023)“…This paper proposed the "Segmentation is traCKing" (SiCK) solution that extract vehicle movements with semantic segmentation for high-resolution trajectory…”
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A dynamic lane-changing trajectory planning model for automated vehicles
Published in Transportation research. Part C, Emerging technologies (01-10-2018)“…•A dynamic lane-changing trajectory planning model is proposed.•Lane-changing vehicles can adapt to the real-time change of surrounding traffic.•The…”
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4
Short-Term Traffic Prediction Based on Dynamic Tensor Completion
Published in IEEE transactions on intelligent transportation systems (01-08-2016)“…Short-term traffic prediction plays a critical role in many important applications of intelligent transportation systems such as traffic congestion control and…”
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5
When Is It Not Diabetic Neuropathy? Atypical Peripheral Neuropathies, Neurologic Mimics, and Laboratory Work-up
Published in Clinics in geriatric medicine (01-05-2021)“…Peripheral neuropathies have many nonspecific features that are shared by various neurologic disorders. These disorders include atypical peripheral…”
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6
Peripheral Neuropathy: More than Numb Feet
Published in Clinics in geriatric medicine (01-05-2021)Get full text
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7
Roadside LiDAR Vehicle Detection and Tracking Using Range and Intensity Background Subtraction
Published in Journal of advanced transportation (27-04-2022)“…In this study, we developed the solution of roadside LiDAR object detection using a combination of two unsupervised learning algorithms. The 3D point clouds…”
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Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01-06-2018)“…Neural networks rely on convolutions to aggregate spatial information. However, spatial convolutions are expensive in terms of model size and computation, both…”
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Conference Proceeding -
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Deep spatial‐temporal embedding for vehicle trajectory validation and refinement
Published in Computer-aided civil and infrastructure engineering (01-06-2024)“…High‐angle cameras are commonly used for trajectory data collection in transportation research. However, without refinement and validation, trajectory data…”
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10
Localization and Diagnostic Evaluation of Peripheral Nerve Disorders
Published in Continuum (Minneapolis, Minn.) (01-10-2023)“…ABSTRACT OBJECTIVE This article provides a framework for the initial evaluation of patients with suspected peripheral nerve disease. The key clinical elements…”
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11
Network-wide signal timing stochastic simulation optimization with environmental concerns
Published in Applied soft computing (01-04-2019)“…This study addresses a network-wide signal timing optimization problem with environmental concerns by a bi-objective stochastic simulation-based optimization…”
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A dynamic merge assistance method based on the concept of instantaneous virtual trajectory for vehicle-to-infrastructure connected vehicles
Published in Journal of intelligent transportation systems (04-05-2021)“…Lane-changing activities near freeway merging, diverging, and weaving sections are one of the major factors leading to recurrent bottleneck congestion. In…”
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13
Risk of thrombotic events after inpatient intravenous immunoglobulin or plasma exchange for neurologic disease: A case‐crossover study
Published in Muscle & nerve (01-09-2020)“…Introduction Our aim in this study was to determine whether intravenous immunoglobulin (IVIg) or plasma exchange (PLEx) for treatment of neurologic disease is…”
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14
Stability analysis of the mixed traffic flow of cars and trucks using heterogeneous optimal velocity car-following model
Published in Physica A (01-02-2014)“…Real-world traffic flow usually contains a mixture of passenger vehicles (PV) and heavy vehicles (HV). In this paper, the four types of car–truck following…”
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15
An anisotropic continuum model considering bi-directional information impact
Published in Transportation research. Part B: methodological (01-05-2015)“…•An anisotropic continuum model is proposed under the bi-directional looking context.•Anisotropy is preserved only when backward weight ratio is in an…”
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16
Quantum Algorithm for Variant Maximum Satisfiability
Published in Entropy (Basel, Switzerland) (01-11-2022)“…In this paper, we proposed a novel quantum algorithm for the maximum satisfiability problem. Satisfiability (SAT) is to find the set of assignment values of…”
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17
Safe distance car-following model including backward-looking and its stability analysis
Published in The European physical journal. B, Condensed matter physics (01-03-2013)“…The focus of this paper is the car-following behavior including backward-looking, simply called the bi-directional looking car-following behavior. This study…”
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18
An adaptive hawkes process formulation for estimating time-of-day zonal trip arrivals with location-based social networking check-in data
Published in Transportation research. Part C, Emerging technologies (01-06-2017)“…•LBSN data is applied to estimate time-of-day trip arrival patterns.•A stochastic point-process model and state-space modeling is proposed.•The model captures…”
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Journal Article -
19
Freeway traffic state estimation: A Lagrangian-space Kalman filter approach
Published in Journal of intelligent transportation systems (02-11-2019)“…Recent researches have shown the potential benefits of using Lagrangian coordinates in modeling mobile sensor data such as GPS, Bluetooth, Wi-Fi, and cellphone…”
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Reducing the Error Accumulation in Car-Following Models Calibrated With Vehicle Trajectory Data
Published in IEEE transactions on intelligent transportation systems (01-02-2014)“…With the development of probe vehicle technologies and the emerging connected vehicle technologies, applications and models using trajectory data for…”
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