2017 Publications
Parent: Center for Environmental Research and Technology
eScholarship stats: History by Item for June through September, 2026
| Item | Title | Total requests | 2026-09 | 2026-08 | 2026-07 | 2026-06 |
|---|---|---|---|---|---|---|
| 3818h5g0 | GPS-INS outlier detection & elimination using a sliding window filter | 293 | 53 | 185 | 19 | 36 |
| 35b9048d | Collection of Activity Data from On-Road Heavy-Duty Diesel Vehicles | 272 | 74 | 72 | 70 | 56 |
| 8wj1f5rw | Fast, Autonomous Flight in GPS-Denied and Cluttered Environments | 243 | 44 | 79 | 57 | 63 |
| 5sw147xh | Particulate matter emissions and gaseous air toxic pollutants from commercial meat cooking operations | 239 | 59 | 93 | 32 | 55 |
| 208334hj | Advanced Metering Infrastructure Data Driven Phase Identification in Smart Grid | 185 | 39 | 60 | 27 | 59 |
| 1513m3tz | GlidePath: Eco-Friendly Automated Approach and Departure at Signalized Intersections | 175 | 48 | 65 | 29 | 33 |
| 3h5144t2 | Trajectory Planning for Autonomous Ground Vehicles Driving in Structured Environments | 164 | 38 | 49 | 36 | 41 |
| 6tb2t426 | Stochastic valuation of energy storage in wholesale power markets | 161 | 52 | 47 | 18 | 44 |
| 0108p101 | Integrated-Connected Eco-Driving System for PHEVs With Co-Optimization of Vehicle Dynamics and Powertrain Operations | 149 | 33 | 43 | 29 | 44 |
| 35s4b6cf | LTE steers UAV | 149 | 39 | 64 | 20 | 26 |
| 969383pp | Quantitative Performance Evaluation of Uncertainty-Aware Hybrid AADL Designs Using Statistical Model Checking | 149 | 51 | 63 | 17 | 18 |
| 5q33q2xm | Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper | 147 | 35 | 49 | 26 | 37 |
| 6gk90087 | I Hear, Therefore I Know Where I Am: Compensating for GNSS Limitations with Cellular Signals | 142 | 45 | 46 | 27 | 24 |
| 01f6v6ps | Prediction-based Eco-Approach and Departure Strategy in Congested Urban Traffic | 135 | 59 | 34 | 22 | 20 |
| 9xw9g6br | Differences between emissions measured in urban driving and certification testing of heavy-duty diesel engines | 131 | 40 | 33 | 34 | 24 |
| 9m08k7m1 | A Single-Phase PFC Rectifier With Wide Output Voltage and Low-Frequency Ripple Power Decoupling | 128 | 31 | 38 | 21 | 38 |
| 0t04166t | Data-driven decomposition analysis and estimation of link-level electric vehicle energy consumption under real-world traffic conditions | 127 | 24 | 44 | 28 | 31 |
| 2vn881m3 | Synthesis of LiFePO4 in an Open-air Environment | 126 | 35 | 43 | 21 | 27 |
| 54f9s861 | In-situ analysis of the gas- and particle-phase in cigarette smoke by chemical ionization TOF-MS | 126 | 28 | 43 | 27 | 28 |
| 8v30380q | The Potential to Build Current Natural Gas Infrastructure to Accommodate the Future Conversion to Near-Zero Transportation Technology | 124 | 42 | 49 | 11 | 22 |
| 1s442408 | Phase Balancing in Power Distribution Network with Data Center | 123 | 29 | 40 | 18 | 36 |
| 3kd3d5zp | Deep reinforcement learning-based vehicle energy efficiency autonomous learning system | 122 | 25 | 45 | 22 | 30 |
| 2mp3p0xs | Robust GPS-INS Outlier Accommodation: A Soft-thresholded Optimal Estimator | 121 | 15 | 86 | 8 | 12 |
| 3xs699kc | Technical Note: CRT with Hypothesis Testing | 118 | 29 | 51 | 13 | 25 |
| 7rw6r331 | Will Aerosol Hygroscopicity Change with Biodiesel, Renewable Diesel Fuels and Emission Control Technologies? | 118 | 30 | 28 | 28 | 32 |
| 4h60q5d6 | Memory Augmented Control Networks | 114 | 25 | 27 | 23 | 39 |
| 17n7n1fk | Detailed Analysis of Criteria and Particle Emissions from a Very Large Crude Carrier Using a Novel ECA Fuel | 113 | 20 | 52 | 21 | 20 |
| 85z0g65g | Eco-Approach and Departure (EAD) Application for Actuated Signals in Real-World Traffic | 112 | 32 | 26 | 24 | 30 |
| 4n94m48w | Activity Patterns of Heavy-Duty Vehicles andTheir Implications on Energy Use and Emissions | 111 | 29 | 38 | 14 | 30 |
| 9vv791qb | Reinforcement learning based throttle and brake control for autonomous vehicle following | 110 | 19 | 28 | 21 | 42 |
| 13300272 | Cellulosic ethanol: status and innovation | 108 | 25 | 39 | 23 | 21 |
| 01q5j155 | Energy Efficient Building HVAC Control Algorithm with Real-time Occupancy Prediction | 107 | 27 | 36 | 20 | 24 |
| 4vn5438p | Delay-Aware Design, Analysis and Verification of Intelligent Intersection Management | 107 | 39 | 30 | 14 | 24 |
| 1zk473kv | Biking in Fresh Air: Consideration of Exposure to TrafficRelated Air Pollution in Bicycle Route Planning | 105 | 33 | 54 | 8 | 10 |
| 8kb5x9c4 | Customer-side SCADA-assisted Large Battery Operation Optimization for Distribution Feeder Peak Load Shaving | 103 | 33 | 43 | 9 | 18 |
| 2px248ss | Simultaneously reducing CO 2 and particulate exposures via fractional recirculation of vehicle cabin air | 101 | 32 | 32 | 14 | 23 |
| 4f35b8dv | A web-based screening tool for near-port air quality assessments | 101 | 23 | 38 | 14 | 26 |
| 6r3149vh | Extensibility-driven automotive in-vehicle architecture design | 101 | 32 | 33 | 11 | 25 |
| 5gj6f9f3 | Bioethanol from Lignocellulosic Biomass | 100 | 29 | 27 | 15 | 29 |
| 1c65j1m6 | Addressing Extensibility and Fault Tolerance in CAN-based Automotive Systems | 99 | 20 | 23 | 14 | 42 |
| 3mm4v3bd | Distributed Continuous-Time Optimization: Nonuniform Gradient Gains, Finite-Time Convergence, and Convex Constraint Set | 99 | 39 | 33 | 13 | 14 |
| 1x60316p | Leakage current suppression and ripple power reduction for transformer-less single-phase photovoltaic inverters | 96 | 23 | 39 | 13 | 21 |
| 34f81319 | Advanced Vehicle State Estimation: A Tutorial and Comparative Study | 96 | 25 | 35 | 14 | 22 |
| 69f2g8mm | Improved Battery Storage Valuation Through Degradation Reduction | 93 | 35 | 25 | 10 | 23 |
| 7nx1d4d0 | Collaborative Autonomous Vehicles with Signals of Opportunity Aided Inertial Navigation Systems | 93 | 26 | 28 | 16 | 23 |
| 9td7006d | End-to-End Navigation in Unknown Environments using Neural Networks | 92 | 26 | 19 | 17 | 30 |
| 2950k8f2 | Reduction of air pollution levels downwind of a road with an upwind noise barrier | 91 | 21 | 38 | 11 | 21 |
| 4pd1x41z | Support Induced Control of Surface Composition in Cu-Ni/TiO <sub>2</sub> Catalysts Enables High Yield Co-Conversion of HMF and Furfural to Methylated Furans | 91 | 25 | 39 | 12 | 15 |
| 9fb8741x | Effects of Cu-Ni Bimetallic Catalyst Composition and Support on Activity, Selectivity, and Stability for Furfural Conversion to 2-Methyfuran | 91 | 21 | 28 | 17 | 25 |
| 5xj529hp | Roadway Feature Mapping from Point Cloud Data: A Graph-Based Clustering Approach | 90 | 19 | 31 | 12 | 28 |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.