Durga Toshniwal

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Jatin BediIndian Institute of Technology RoorkeeVerificeret mail på cs.iitr.ac.in
Pratima Kumari, Ph.D.University of California, SF | IIT RoorkeeVerificeret mail på cs.iitr.ac.in
Deeksha Arya, Ph.D.The University of Tokyo JapanVerificeret mail på iis.u-tokyo.ac.jp
Sanjay Kumar GhoshProfessor & Former HOD, Civil Engineering, IIT Roorkee, Roorkee, Member BOGVerificeret mail på ce.iitr.ac.in
Patil BankatProfessor in Computer Science Dept. Dr.BAMUVerificeret mail på iitr.ac.in
Yoshihide SekimotoUniversity of TokyoVerificeret mail på iis.u-tokyo.ac.jp
Dr. Keshavamurthy B.N.National Institute of Technology GoaVerificeret mail på nitgoa.ac.in
APEKSHA AGGARWALIndian Institute of Technology RoorkeeVerificeret mail på cs.iitr.ac.in
Manoranjan ParidaProfessor, Civil Engineering Department, Indian Institute of Technology RoorkeeVerificeret mail på ce.iitr.ac.in
Nagamma PatilAssociate Professor, IT Dept, NITK SurathkalVerificeret mail på nitk.edu.in
Chandresh Kumar MauryaAssistant Professor at IIT IndoreVerificeret mail på iiti.ac.in
Shivani SharmaThapar Institute of Engineering and TechnologyVerificeret mail på nitj.ac.in
Brijraj SinghSony ResearchVerificeret mail på sony.com
Arun ChauhanSamsung Research Institute BangaloreVerificeret mail på samsung.com
Rishiraj Saha Roy (Rishi)NLP Researcher at Fraunhofer IISVerificeret mail på iis.fraunhofer.de
Arpit BahetiStudent, IIT RoorkeeVerificeret mail på iitr.ac.in
Dr. Mridula VermaIDRBTVerificeret mail på idrbt.ac.in
Michael SteinbachUniversity of MinnesotaVerificeret mail på umn.edu
Shyam BoriahXylemVerificeret mail på cs.umn.edu
Vipin KumarUniversity of MinnesotaVerificeret mail på umn.edu

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Durga Toshniwal

Indian Institute of Technology Roorkee India

Verificeret mail på cs.iitr.ac.in - Startside

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


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Deep learning framework to forecast electricity demand J Bedi, D Toshniwal Applied energy 238, 1312-1326, 2019	508	2019
Deep learning models for solar irradiance forecasting: A comprehensive review P Kumari, D Toshniwal Journal of Cleaner Production 318, 128566, 2021	301	2021
Hybrid prediction model for type-2 diabetic patients BM Patil, RC Joshi, D Toshniwal Expert systems with applications 37 (12), 8102-8108, 2010	283	2010
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	247	2022
A data mining approach to characterize road accident locations S Kumar, D Toshniwal Journal of Modern Transportation 24, 62-72, 2016	246	2016
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	223	2021
Empirical mode decomposition based deep learning for electricity demand forecasting J Bedi, D Toshniwal IEEE access 6, 49144-49156, 2018	220	2018
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	217	2020
Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting P Kumari, D Toshniwal Applied Energy 295, 117061, 2021	206	2021
A data mining framework to analyze road accident data S Kumar, D Toshniwal Journal of Big Data 2, 1-18, 2015	203	2015
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	191	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	153	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	151	2021
Feature based summarization of customers’ reviews of online products K Bafna, D Toshniwal Procedia Computer Science 22, 142-151, 2013	131	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	89	2016
Energy load time-series forecast using decomposition and autoencoder integrated memory network J Bedi, D Toshniwal Applied Soft Computing 93, 106390, 2020	87	2020
Analysing road accident data using association rule mining S Kumar, D Toshniwal 2015 International Conference on Computing, Communication and Security …, 2015	84	2015

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