25 citations · 64 across the 10 of their papers we have counts for
11 papers
StationRank: Aggregate dynamics of the Swiss railway
Georg Anagnostopoulos, Vahid Moosavi
Increasing availability and quality of actual, as opposed to scheduled, open transport data offers new possibilities for capturing the spatiotemporal dynamics of the railway and ot…
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks
Zifeng Guo, Joao P. Leitao, Nuno E. Simoes +1
Computational complexity has been the bottleneck of applying physically-based simulations on large urban areas with high spatial resolution for efficient and systematic flooding an…
Modeling overland flow from local inflows in almost no-time, using Self Organizing Maps
Joao P. Leitao, Mohamed Zaghloul, Vahid Moosavi
Physically-based overland flow models are computationally demanding, hindering their use for real-time applications. Therefore, the development of fast (and reasonably accurate) ov…
Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics
Lukas Fuhrimann, Vahid Moosavi, Patrick Ole Ohlbrock +1
The aim of this research is to introduce a novel structural design process that allows architects and engineers to extend their typical design space horizon and thereby promoting t…
Urban morphology meets deep learning: Exploring urban forms in one million cities, town and villages across the planet
Vahid Moosavi
Study of urban form is an important area of research in urban planning/design that contributes to our understanding of how cities function and evolve. However, classical approaches…
Computational Machines in a Coexistence with Concrete Universals and Data Streams
Vahid Moosavi
We discuss that how the majority of traditional modeling approaches are following the idealism point of view in scientific modeling, which follow the set theoretical notions of mod…
Grand Technologies for Grand Energy Challenges: A Futuristic Scenario for Solar Energy in the Age of Information
Vahid Moosavi
Instead of getting involved in either extremes of dispute around climate change as one of our grand challenges, we opened the space of potential policy responses from a systemic vi…
Inverting normative city theories and computational urban models: Towards a coexistence with urban data streams
Diana Alvarez-Marin, Vahid Moosavi
Two unavoidable processes punctuate our century: The unprecedented urbanisation of our planet (United Nations, 2014) and the spread of ubiquitous computing (Weiser, 1991) and urban…
Urban Data Streams and Machine Learning: A Case of Swiss Real Estate Market
Vahid Moosavi
In this paper, we show how using publicly available data streams and machine learning algorithms one can develop practical data driven services with no input from domain experts as…
A Markovian Model of the Evolving World Input-Output Network
Vahid Moosavi, Giulio Isacchini
The initial theoretical connections between Leontief input-output models and Markov chains were established back in 1950s. However, considering the wide variety of mathematical pro…
Computing With Contextual Numbers
Vahid Moosavi
Self Organizing Map (SOM) has been applied into several classical modeling tasks including clustering, classification, function approximation and visualization of high dimensional…