Search Results - "Yao-Yi Chiang"

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  1. 1

    Efficient Deployment of Electric Vehicle Charging Infrastructure: Simultaneous Optimization of Charging Station Placement and Charging Pile Assignment by Zhang, Ying, Wang, Yanhao, Li, Fanyu, Wu, Bin, Chiang, Yao-Yi, Zhang, Xin

    “…Charging infrastructure deployment is to seek the proper plan of settling charging stations and charging piles under multiple constraints, such as recharging…”
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    Journal Article
  2. 2

    Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology by VoPham, Trang, Hart, Jaime E, Laden, Francine, Chiang, Yao-Yi

    Published in Environmental health (17-04-2018)
    “…Geospatial artificial intelligence (geoAI) is an emerging scientific discipline that combines innovations in spatial science, artificial intelligence methods…”
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    Journal Article
  3. 3

    A Constraint-based Routing and Charging Methodology for Battery Electric Vehicles with Deep Reinforcement Learning by Zhang, Ying, Li, Muyang, Chen, Yuanchang, Chiang, Yao-Yi, Hua, Yunpeng

    Published in IEEE transactions on smart grid (01-05-2023)
    “…Electric vehicle route planning (EVRP) is generated from the collaborative operation of smart grids and intelligent transportation systems. It has become an…”
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    Journal Article
  4. 4

    Traffic volume prediction for scenic spots based on multi‐source and heterogeneous data by Gao, Yuan, Chiang, YaoYi, Zhang, Xiaoxi, Zhang, Min

    Published in Transactions in GIS (01-09-2022)
    “…Traffic prediction for scenic spots is an important topic in modeling an urban traffic system. Existing traffic prediction approaches typically use raw traffic…”
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    Journal Article
  5. 5

    Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning by Duan, Weiwei, Chiang, Yao-Yi, Leyk, Stefan, Uhl, Johannes H., Knoblock, Craig A.

    “…With large amounts of digital map archives becoming available, automatically extracting information from scanned historical maps is needed for many domains…”
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    Journal Article
  6. 6

    Using dynamic time warping self-organizing maps to characterize diurnal patterns in environmental exposures by Li, Kenan, Sward, Katherine, Deng, Huiyu, Morrison, John, Habre, Rima, Franklin, Meredith, Chiang, Yao-Yi, Ambite, Jose Luis, Wilson, John P., Eckel, Sandrah P.

    Published in Scientific reports (15-12-2021)
    “…Advances in measurement technology are producing increasingly time-resolved environmental exposure data. We aim to gain new insights into exposures and their…”
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    Journal Article
  7. 7

    Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks by Uhl, Johannes H., Leyk, Stefan, Chiang, Yao-Yi, Duan, Weiwei, Knoblock, Craig A.

    Published in IEEE access (2020)
    “…Information extraction from historical maps represents a persistent challenge due to inferior graphical quality and the large data volume of digital map…”
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    Journal Article
  8. 8

    Water, Sanitation, and Hygiene (WaSH) insecurity in unhoused communities of Los Angeles, California by Avelar Portillo, Lourdes Johanna, Kayser, Georgia L, Ko, Charlene, Vasquez, Angelica, Gonzalez, Jimena, Avelar, Diego Jose, Alvarenga, Nayib, Franklin, Meredith, Chiang, Yao-Yi

    Published in International journal for equity in health (01-06-2023)
    “…Access to water and sanitation is a basic human right; however, in many parts of the world, communities experience water, sanitation, and hygiene (WaSH)…”
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    Journal Article
  9. 9

    Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents by Uhl, Johannes H, Leyk, Stefan, Li, Zekun, Duan, Weiwei, Shbita, Basel, Chiang, Yao-Yi, Knoblock, Craig A

    Published in Remote sensing (Basel, Switzerland) (01-09-2021)
    “…Spatially explicit, fine-grained datasets describing historical urban extents are rarely available prior to the era of operational remote sensing. However,…”
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    Journal Article
  10. 10

    W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets by Li, Kenan, Deng, Huiyu, Morrison, John, Habre, Rima, Franklin, Meredith, Chiang, Yao-Yi, Sward, Katherine, Gilliland, Frank D., Ambite, José Luis, Eckel, Sandrah P.

    Published in Sensors (Basel, Switzerland) (28-08-2021)
    “…Many approaches to time series classification rely on machine learning methods. However, there is growing interest in going beyond black box prediction models…”
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    Journal Article
  11. 11
  12. 12

    Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections by Uhl, Johannes H, Leyk, Stefan, Chiang, Yao-Yi, Duan, Weiwei, Knoblock, Craig A

    “…Historical maps are unique sources of retrospective geographical information. Recently, several map archives containing map series covering large spatial and…”
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    Journal Article
  13. 13

    Multiple ground/aerial parcel delivery problem: a Weighted Road Network Voronoi Diagram based approach by Harn, Po-wei, Zhang, Ji, Shen, Ting, Wang, Wenlu, Jiang, Xunfei, Ku, Wei-Shinn, Sun, Min-Te, Chiang, Yao-Yi

    “…The Multiple Ground/Aerial Parcel Delivery Problem (MGAPDP), an extension of the Ground/Aerial Parcel Delivery Problem (GAPDP), aims to find an optimal…”
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    Journal Article
  14. 14

    A Scalable Data Integration and Analysis Architecture for Sensor Data of Pediatric Asthma by Stripelis, Dimitris, Ambite, Jose Luis, Yao-Yi Chiang, Eckel, Sandrah P., Habre, Rima

    “…According to the Centers for Disease Control, in the United States there are 6.8 million children living with asthma. Despite the importance of the disease,…”
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    Conference Proceeding
  15. 15

    A Matching Algorithm Based on Voronoi Diagram for Multi-Scale Polygonal Residential Areas by Wu, Jianhua, Wan, Yangyang, Chiang, Yao-Yi, Fu, Zhongliang, Deng, Min

    Published in IEEE access (01-01-2018)
    “…Matching spatial entities (e.g., polygonal residential areas) from sources of significantly different map scales is challenging. The reason is that the same…”
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    Journal Article
  16. 16

    A Review of Air Quality Modeling by Karroum, Khaoula, Lin, Yijun, Chiang, Yao-Yi, Ben Maissa, Yann, El Haziti, Mohamed, Sokolov, Anton, Delbarre, Hervé

    “…Air quality models (AQMs) are useful for studying various types of air pollutions and provide the possibility to reveal the contributors of air pollutants…”
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    Journal Article
  17. 17

    A New Gabor Filter-Based Method for Automatic Recognition of Hatched Residential Areas by Wu, Jianhua, Wei, Pengjie, Yuan, Xiaofang, Shu, Zhigang, Chiang, Yao-Yi, Fu, Zhongliang, Deng, Min

    Published in IEEE access (2019)
    “…Extracting residential areas from historical raster topographic maps benefits to analyze land type change. The existing algorithms have the shortcomings…”
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    Journal Article
  18. 18

    Optimal and efficient planning of charging stations for electric vehicles in urban areas: formulation, complexity and solutions by Zhang, Ying, Hua, Yunpeng, Kang, Ao, He, Jiyuan, Jia, Meng, Chiang, Yao-Yi

    Published in Expert systems with applications (15-11-2023)
    “…The deployment of charging infrastructure for electric vehicles is crucial in extending their range. Many studies on the charging infrastructure deployment…”
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    Journal Article
  19. 19

    Automatic and Accurate Extraction of Road Intersections from Raster Maps by Chiang, Yao-Yi, Knoblock, Craig A., Shahabi, Cyrus, Chen, Ching-Chien

    Published in GeoInformatica (01-06-2009)
    “…Since maps are widely available for many areas around the globe, they provide a valuable resource to help understand other geospatial sources such as to…”
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    Journal Article
  20. 20

    Towards the automated large-scale reconstruction of past road networks from historical maps by Uhl, Johannes H., Leyk, Stefan, Chiang, Yao-Yi, Knoblock, Craig A.

    Published in Computers, environment and urban systems (01-06-2022)
    “…Transportation infrastructure, such as road or railroad networks, represent a fundamental component of our civilization. For sustainable planning and informed…”
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    Journal Article