Durga Toshniwal

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Jatin BediIndian Institute of Technology RoorkeeAdresse e-mail validée de cs.iitr.ac.in
Pratima Kumari, Ph.D.University of California, SF | IIT RoorkeeAdresse e-mail validée de cs.iitr.ac.in
Deeksha Arya, Ph.D.The University of Tokyo JapanAdresse e-mail validée de iis.u-tokyo.ac.jp
Sanjay Kumar GhoshProfessor & Former HOD, Civil Engineering, IIT Roorkee, Roorkee, Member BOGAdresse e-mail validée de ce.iitr.ac.in
Patil BankatProfessor in Computer Science Dept. Dr.BAMUAdresse e-mail validée de iitr.ac.in
Yoshihide SekimotoUniversity of TokyoAdresse e-mail validée de iis.u-tokyo.ac.jp
Dr. Keshavamurthy B.N.National Institute of Technology GoaAdresse e-mail validée de nitgoa.ac.in
APEKSHA AGGARWALIndian Institute of Technology RoorkeeAdresse e-mail validée de cs.iitr.ac.in
Manoranjan ParidaProfessor, Civil Engineering Department, Indian Institute of Technology RoorkeeAdresse e-mail validée de ce.iitr.ac.in
Nagamma PatilAssociate Professor, IT Dept, NITK SurathkalAdresse e-mail validée de nitk.edu.in
Chandresh Kumar MauryaAssistant Professor at IIT IndoreAdresse e-mail validée de iiti.ac.in
Brijraj SinghSony ResearchAdresse e-mail validée de sony.com
Shivani SharmaThapar Institute of Engineering and TechnologyAdresse e-mail validée de nitj.ac.in
Arun ChauhanSamsung Research Institute BangaloreAdresse e-mail validée de samsung.com
Rishiraj Saha Roy (Rishi Roy)NLP Researcher at Fraunhofer IISAdresse e-mail validée de iis.fraunhofer.de
Arpit BahetiStudent, IIT RoorkeeAdresse e-mail validée de iitr.ac.in
Dr. Mridula VermaIDRBTAdresse e-mail validée de idrbt.ac.in
Krishna KummamuruAccentureAdresse e-mail validée de accenture.com
Michael SteinbachUniversity of MinnesotaAdresse e-mail validée de umn.edu
Shyam BoriahXylemAdresse e-mail validée de cs.umn.edu

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Durga Toshniwal

Indian Institute of Technology Roorkee India

Adresse e-mail validée de cs.iitr.ac.in - Page d'accueil

Artificial Intelligence and Machine Learning Data Mining Intelligent Transportation Systems Time Series Data Mining privacy


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Deep learning framework to forecast electricity demand J Bedi, D Toshniwal Applied energy 238, 1312-1326, 2019	501	2019
Deep learning models for solar irradiance forecasting: A comprehensive review P Kumari, D Toshniwal Journal of Cleaner Production 318, 128566, 2021	300	2021
Hybrid prediction model for type-2 diabetic patients BM Patil, RC Joshi, D Toshniwal Expert systems with applications 37 (12), 8102-8108, 2010	285	2010
A data mining approach to characterize road accident locations S Kumar, D Toshniwal Journal of Modern Transportation 24, 62-72, 2016	247	2016
Impact of lockdown measures during COVID-19 on air quality–A case study of India P Kumari, D Toshniwal International Journal of Environmental Health Research 32 (3), 503-510, 2022	246	2022
Extreme gradient boosting and deep neural network based ensemble learning approach to forecast hourly solar irradiance P Kumari, D Toshniwal Journal of Cleaner Production 279, 123285, 2021	222	2021
Impact of lockdown on air quality over major cities across the globe during COVID-19 pandemic P Kumari, D Toshniwal Urban climate 34, 100719, 2020	218	2020
Empirical mode decomposition based deep learning for electricity demand forecasting J Bedi, D Toshniwal IEEE access 6, 49144-49156, 2018	214	2018
A data mining framework to analyze road accident data S Kumar, D Toshniwal Journal of Big Data 2, 1-18, 2015	205	2015
Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting P Kumari, D Toshniwal Applied Energy 295, 117061, 2021	203	2021
Deep learning-based road damage detection and classification for multiple countries D Arya, H Maeda, SK Ghosh, D Toshniwal, A Mraz, T Kashiyama, ... Automation in Construction 132, 103935, 2021	188	2021
Global road damage detection: State-of-the-art solutions D Arya, H Maeda, SK Ghosh, D Toshniwal, H Omata, T Kashiyama, ... 2020 IEEE International Conference on Big Data (Big Data), 5533-5539, 2020	168	2020
Association rule for classification of type-2 diabetic patients BM Patil, RC Joshi, D Toshniwal 2010 second international conference on machine learning and computing, 330-334, 2010	151	2010
RDD2020: An annotated image dataset for automatic road damage detection using deep learning D Arya, H Maeda, SK Ghosh, D Toshniwal, Y Sekimoto Data in brief 36, 107133, 2021	149	2021
Feature based summarization of customers’ reviews of online products K Bafna, D Toshniwal Procedia Computer Science 22, 142-151, 2013	135	2013
RDD2022: A multi‐national image dataset for automatic road damage detection D Arya, H Maeda, SK Ghosh, D Toshniwal, Y Sekimoto Geoscience Data Journal 11 (4), 846-862, 2024	129	2024
Transfer learning-based road damage detection for multiple countries D Arya, H Maeda, SK Ghosh, D Toshniwal, A Mraz, T Kashiyama, ... arXiv preprint arXiv:2008.13101, 2020	118	2020
Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC) S Kumar, D Toshniwal Journal of Big Data 3, 1-11, 2016	94	2016
Energy load time-series forecast using decomposition and autoencoder integrated memory network J Bedi, D Toshniwal Applied Soft Computing 93, 106390, 2020	86	2020
Analysing road accident data using association rule mining S Kumar, D Toshniwal 2015 International Conference on Computing, Communication and Security …, 2015	86	2015

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