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ORCIDVahid Moosavi
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2020 – today
- 2024
[j5]Vahid Moosavi, Sahar Mostafaei, Ronny Berndtsson
:
Temporal cluster-based local deep learning or signal processing-temporal convolutional transformer for daily runoff prediction? Appl. Soft Comput. 155: 111425 (2024)- 2022
- [j4]Negin Behnia, Mohammad Zare, Vahid Moosavi, Seyed Jamaleddin Khajeddin:
An inter-comparison of different PSO-optimized artificial intelligence algorithms for thermal-based soil moisture retrieval. Earth Sci. Informatics 15(1): 473-484 (2022) - 2020
- [j3]Mohammad Hossein Mokhtari, Kaveh Deilami, Vahid Moosavi:
Spectral enhancement of Landsat OLI images by using Hyperion data: a comparison between multilayer perceptron and radial basis function networks. Earth Sci. Informatics 13(2): 493-507 (2020) - [c3]Zhangyu Wang, Vahid Moosavi:
From PIace2Vec to Multi-Scale Built-Environment Representation: A General-Purpose Distributional Embedding for Urban Data Analysis. LocalRec@SIGSPATIAL 2020: 1:1-1:12 - [i11]Zifeng Guo, Joao P. Leitao, Nuno Eduardo Simões, Vahid Moosavi:
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks. CoRR abs/2004.08340 (2020) - [i10]Georg Anagnostopoulos, Vahid Moosavi:
StationRank: Aggregate dynamics of the Swiss railway. CoRR abs/2006.02781 (2020)
2010 – 2019
- 2019
- [j2]Omid Rahmati, Davoud Davoudi Moghaddam, Vahid Moosavi, Zahra Kalantari, Mahmood Samadi, Saro Lee, Dieu Tien Bui:
An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping. Remote. Sens. 11(11): 1375 (2019) - 2018
- [i9]Lukas Fuhrimann, Vahid Moosavi, Patrick Ole Ohlbrock, Pierluigi Dacunto:
Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics. CoRR abs/1809.08660 (2018) - [i8]Joao P. Leitao, Mohamed Zaghloul, Vahid Moosavi:
Modeling overland flow from local inflows in almost no-time, using Self Organizing Maps. CoRR abs/1810.02684 (2018) - 2017
- [j1]Vahid Moosavi:
Contextual mapping: Visualization of high-dimensional spatial patterns in a single geo-map. Comput. Environ. Urban Syst. 61: 1-12 (2017) - [i7]Vahid Moosavi:
Urban Data Streams and Machine Learning: A Case of Swiss Real Estate Market. CoRR abs/1704.04979 (2017) - [i6]Diana Alvarez-Marin, Vahid Moosavi:
Inverting normative city theories and computational urban models: Towards a coexistence with urban data streams. CoRR abs/1707.03678 (2017) - [i5]Vahid Moosavi:
Grand Technologies for Grand Energy Challenges: A Futuristic Scenario for Solar Energy in the Age of Information. CoRR abs/1708.06600 (2017) - [i4]Vahid Moosavi:
Urban morphology meets deep learning: Exploring urban forms in one million cities, town and villages across the planet. CoRR abs/1709.02939 (2017) - [i3]Vahid Moosavi:
Computational Machines in a Coexistence with Concrete Universals and Data Streams. CoRR abs/1709.03136 (2017) - 2016
- [i2]Vahid Moosavi:
A Markovian Model of the Evolving World Input-Output Network. CoRR abs/1612.06186 (2016) - 2015
- [b1]Vahid Moosavi:
Pre-Specific Modeling: Computational Machines in Coexistence with Urban Data Streams. ETH Zurich, Zürich, Switzerland, 2015 - [c2]Vahid Moosavi:
Computational Urban Modeling: From Mainframes to Data Streams. AAAI Workshop: AI for Cities 2015 - 2014
- [i1]Vahid Moosavi:
Computing With Contextual Numbers. CoRR abs/1408.0889 (2014) - 2013
- [c1]Vahid Moosavi, Ludger Hovestadt:
Modeling urban traffic dynamics in coexistence with urban data streams. UrbComp@KDD 2013: 10:1-10:7
Coauthor Index
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