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Deepank Verma
Deepank Verma
PostDoc at SpACE Lab, Institute for Sustainable Urbanism, TU Braunschweig, Germany
E-mail confirmado em tu-braunschweig.de - Página inicial
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Transfer learning approach to map urban slums using high and medium resolution satellite imagery
D Verma, A Jana, K Ramamritham
Habitat International 88, 101981, 2019
702019
Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips
D Verma, A Jana, K Ramamritham
Building and Environment 186, 107340, 2020
512020
Machine-based understanding of manually collected visual and auditory datasets for urban perception studies
D Verma, A Jana, K Ramamritham
Landscape and Urban Planning 190, 103604, 2019
292019
LULC classification methodology based on simple Convolutional Neural Network to map complex urban forms at finer scale: Evidence from Mumbai
D Verma, A Jana
arXiv preprint arXiv:1909.09774, 2019
242019
Classification and mapping of sound sources in local urban streets through AudioSet data and Bayesian optimized Neural Networks
D Verma, A Jana, K Ramamritham
Noise Mapping 6 (1), 52-71, 2019
172019
Quantifying urban surroundings using deep learning techniques: a new proposal
D Verma, A Jana, K Ramamritham
Urban Science 2 (3), 78, 2018
122018
Artificial intelligence and human senses for the evaluation of urban surroundings
D Verma, A Jana, K Ramamritham
Intelligent Human Systems Integration 2019: Proceedings of the 2nd …, 2019
72019
Identifying Streetscape Features Using VHR Imagery and Deep Learning Applications
D Verma, O Mumm, VM Carlow
Remote Sensing 13 (17), 3363, 2021
62021
Applicability of Big Data for transportation planning and management
D Verma, V Varghese, A Jana
Advances in Urban Planning in Developing Nations, 99-110, 2021
32021
Classification and mapping of sound sources in local urban streets through AudioSet data and Bayesian optimized Neural Networks, Noise Mapp. 6 (1)(2019) 52–71
D Verma, A Jana, K Ramamritham
32019
Urban perception experiments: Transition from traditional to advanced methods
D Verma, A Jana
Advances in Urban Planning in Developing Nations, 18-49, 2021
22021
Generative agents in the streets: Exploring the use of Large Language Models (LLMs) in collecting urban perceptions
D Verma, O Mumm, VM Carlow
arXiv preprint arXiv:2312.13126, 2023
12023
Generating citywide street cross-sections using aerial LiDAR and detailed street plan
D Verma, O Mumm, VM Carlow
Sustainable Cities and Society 96, 104673, 2023
2023
FoldingNet Autoencoder model to create a geospatial grouping of CityGML building dataset
D Verma, O Mumm, VM Carlow
arXiv preprint arXiv:2212.13965, 2022
2022
Analyzing New Frontiers in Urban Preference and Perception Research
D Verma, A Jana, K Ramamritham
Geospatial Technology and Smart Cities: ICT, Geoscience Modeling, GIS and …, 2021
2021
Urban Envelope: Representing Audio and Visual Features Extracted from Deep Learning Techniques
D Verma, A Jana
Urban Science and Engineering: Proceedings of ICUSE 2020, 231, 2021
2021
Audio and Visual Perception Dataset
D Verma, A Jana, K Ramamritham
https://data.mendeley.com/datasets/3hrb6gsgyn/2, 2019
2019
Identifying degrees of built arrangement in Indian cities through mid-resolution satellite imagery and Convolutional Neural Networks
D Verma, A Jana, K Ramamritham
2019 International Conference on Intelligent Computing and Remote Sensing …, 2019
2019
CLASSIFICATION OF THE STRUCTURE OF CITIES THROUGH MID-RESOLUTION SATELLITE IMAGERY AND PATCH BASED NEURAL NETWORKS
D Verma, A Jana, K Ramamritham
ISPRS - International Archives of the Photogrammetry, Remote Sensing and …, 2018
2018
HOW DIVERSE ARE THE NEIGHBOURHOODS? A DIVERSITY INDEX TO ASSESS LAND USE MIX THROUGH OPEN SOURCE AND ONLINE DATASETS
D Verma, A Jana, K Ramamritham
Regional Science Association International (RSAI), 2018
2018
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Artigos 1–20