Jefferson Lab’s Post

The paper "An unsupervised machine learning approach to the spatial analysis of urban systems through neighbourhoods’ dynamics" is a result of a collaborative effort with Alon Sagi, Avi (Avigdor) Gal, Dani Broitman, and Daniel Czamanski. It tells the story of the dynamics that affect the social-environmental sustainability of UK’s urban system using #unsupervisedlearning. Read about it here: https://lnkd.in/dHmy8-Wd

𝗠𝗲𝘁𝗿𝗼𝗰𝗵𝗿𝗼𝗻𝗲𝘀: 𝗦𝗰𝗵𝗲𝗺𝗮𝘁𝗶𝗰 𝗜𝘀𝗼𝗰𝗵𝗿𝗼𝗻𝗲𝘀 𝗳𝗼𝗿 𝗦𝗰𝗵𝗲𝗺𝗮𝘁𝗶𝗰 𝗠𝗲𝘁𝗿𝗼 𝗠𝗮𝗽𝘀 Maps of transportation networks often depict the area that is reachable within a certain amount of time from a certain start point. Usually, the boundary of this area is drawn as a line, which is called isochrone. In an article recently published in The Cartographic Journal, we present an algorithm that generates schematic isochrones for schematic network maps. Our algorithm generates isochrone maps that correctly represent travel times while being much easier to read than geographically accurate isochrone maps. Our article is part of a special issue that celebrates the 90th anniversary of Henry Beck's famous schematic map of the London Underground. https://lnkd.in/eDGr3yr6 #Isochrones #SchematicMaps #Algorithms #HenryBeck #Research

This paper presents a comprehensive #survey addressing practical challenges in implementing #Federated #learning (#FL)-based #urban #sensing applications, e.g., #inference #attacks, #poisoning #attacks, and #fair #incentivization to participants while preserving privacy. The authors then provide an extensive survey on the use of FL in various urban sensing applications, highlighting that current applications do not simultaneously address all three aforementioned challenges. They conclude this survey by highlighting the research challenges to form a practical FL-based urban sensing system and future research directions.----Ayshika Kapoor, Egu Dheeraj K. More details can be found at this link: https://lnkd.in/g8TS8g_b

I have published a Journal Paper in Aqua Water Infrastructure Ecosystem and Society. Title is Modelling of Clear water Scour Depth around Bridge Piers using M5 Tree and ANN-PSO soft computing tools. ( DOI: 10.2166/aqua.2023.225 )

This paper presents a comprehensive survey addressing practical challenges in implementing #federated #learning (#FL)-based #urban #sensing applications, e.g., inference attacks, poisoning attacks, and fair incentivization to participants while preserving privacy. The authors then provide an extensive survey on the use of FL in various urban sensing applications, highlighting that current applications do not simultaneously address all three aforementioned challenges. They conclude this survey by highlighting the research challenges to form a practical FL-based urban sensing system and future research directions. ---- Ayshika Kapoor, Dheeraj Kumar More details can be found at this link: https://lnkd.in/e9rhFpae

At Washington College in Maryland, the GIS program teaches students—no matter what they study—how to use geospatial technology in real-world situations by working on hands-on projects. This "learn by doing" approach helps students learn geospatial methods which they can apply to future aspirations. https://ow.ly/kqvK50TIIfl

University of Illinois Urbana-Champaign researcher Shaowen Wang employs #deeplearning approaches to map land cover, maximizing computational intensity and data resolution. This innovative use of this #ArtificialIntelligence method will help achieve computational and geographic scalability by overcoming the difficulties of intensive computational workloads that exceed the limits of conventional GIS approaches. See his research and learn more about this Taylor Geospatial Institute Associate and Research Council Member's work: https://lnkd.in/gMctt_n3

New Blog Alert! In "Navigating the Urban Maze," Philip Meier (Associated reseacher at the HIIG) and Dr. Gemma Newlands (Oxford Internet Institute, University of Oxford), explore the following question: As GIS technology increasingly blurs the lines between our digital and physical worlds, should #digitalmaps be considered a form of public infrastructure? Their insightful analysis delves into the progression of geographic information systems (#GIS), their broad applications, and the intricate dependencies created by proprietary geodata services. As our urban environments become more and more intertwined with cyber-physical systems, the authors provoke a debate about the governance and public utility framework of digital maps. How should we view and manage the digital tools that shape our everyday lives? 👉 Read the full blog post: https://lnkd.in/guYDceY7

Thanks for the guidance and support from my advisor Andres Sevtsuk. In this review work, we carefully extracted 100+ street attributes that have been proposed through a bunch of urban studies driven by computer vision. For urban design researchers, this paper provides a general overview of how this field is going on with an itemized list. Also, after this review, I am more aware that there are still many gaps between fresh techniques and domain knowledge. It is truly a long journey for me to explore this field. : )