Durga Toshniwal
Orcid: 0000-0002-7960-4127
According to our database1,
Durga Toshniwal
authored at least 122 papers
between 2004 and 2024.
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Bibliography
2024
Appl. Intell., April, 2024
Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions.
CoRR, 2024
Unveiling Themes in Judicial Proceedings: A Cross-Country Study Using Topic Modeling on Legal Documents from India and the UK.
CoRR, 2024
FedNISP: Neuron Importance Scope Propagation pruning for communication efficient federated learning.
Comput. Electr. Eng., 2024
Appl. Intell., 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Forecasting Dissolved Oxygen Based on Two-Stage Decomposition with BiLSTM-Attention and weighted Huber Loss Function.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
2023
Appl. Intell., October, 2023
AgrIntel: Spatio-temporal profiling of nationwide plant-protection problems using helpline data.
Eng. Appl. Artif. Intell., 2023
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geocomputational Analysis of Socio-Economic Data, 2023
A Novel Ensemble-Based Framework for Feature Identification and Classification of COVID-19 Electronic Health Record Data.
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Deep Reinforcement Learning based Data Placement optimization in Data Center Networks.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Future Gener. Comput. Syst., 2022
AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns.
Expert Syst. Appl., 2022
CoRR, 2022
AgriMine: A Deep Learning integrated Spatio-temporal analytics framework for diagnosing nationwide agricultural issues using farmers' helpline data.
Comput. Electron. Agric., 2022
Comput. Electron. Agric., 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Dense Vector Embedding Based Approach to Identify Prominent Disseminators From Twitter Data Amid COVID-19 Outbreak.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
IEEE Trans. Big Data, 2021
2020
Neural Comput. Appl., 2020
VIDPSO: Victim item deletion based PSO inspired sensitive pattern hiding algorithm for dense datasets.
Inf. Process. Manag., 2020
MR-I MaxMin-scalable two-phase border based knowledge hiding technique using MapReduce.
Future Gener. Comput. Syst., 2020
An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets.
CoRR, 2020
Sequential pattern mining combined multi-criteria decision-making for farmers' queries characterization.
Comput. Electron. Agric., 2020
Energy load time-series forecast using decomposition and autoencoder integrated memory network.
Appl. Soft Comput., 2020
Appl. Intell., 2020
Proceedings of the ECML PKDD 2020 Workshops, 2020
Harnessing Social Interactions on Twitter for Smart Transportation Using Machine Learning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
Real-time estimation of COVID-19 cases using machine learning and mathematical models - The case of India.
Proceedings of the 15th IEEE International Conference on Industrial and Information Systems, 2020
Closed Itemset based Sensitive Pattern Hiding for Improved Data Utility and Scalability.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
An Unsupervised Misinformation Detection Framework to Analyze the Users using COVID-19 Twitter Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Shunt connection: An intelligent skipping of contiguous blocks for optimizing MobileNet-V2.
Neural Networks, 2019
Global Awareness Landscape for Ailments - A Twitter Based Microscopic View Into Thought Processes of People.
Frontiers Big Data, 2019
MOWM: Multiple Overlapping Window Method for RBF based missing value prediction on big data.
Expert Syst. Appl., 2019
Comput. Networks, 2019
IEEE Access, 2019
Face off: Travel Habits, Road Conditions and Traffic City Characteristics Bared Using Twitter.
IEEE Access, 2019
Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
2018
A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex.
CoRR, 2018
CoRR, 2018
IEEE Access, 2018
Proceedings of the Information Management and Big Data, 5th International Conference, 2018
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Predicting Particulate Matter for Assessing Air Quality in Delhi Using Meteorological Features.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018
Proceedings of the Advances in Computing and Data Science, 2018
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018
2017
J. Big Data, 2017
A comparative analysis of heterogeneity in road accident data using data mining techniques.
Evol. Syst., 2017
Proceedings of the 2017 IEEE World Congress on Services, 2017
Proceedings of the Big Data Analytics - 5th International Conference, 2017
2016
Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC).
J. Big Data, 2016
Int. J. Distributed Sens. Networks, 2016
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016
GenIt-e-MoTo: Generation of intelligence to envisage modus operandi of terror outfits.
Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016
Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016
2015
Proceedings of the Eighth International Conference on Contemporary Computing, 2015
How Has Twitter Changed the Event Discussion Scenario? A Spatio-temporal Diffusion Analysis.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015
Proceedings of the Big Data Analytics - 4th International Conference, 2015
2014
Variance and density-based anomaly identification and ranking for evolving data streams.
Int. J. Comput. Intell. Stud., 2014
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014
2013
Privacy preserving association rule mining over distributed databases using genetic algorithm.
Neural Comput. Appl., 2013
Int. J. Data Anal. Tech. Strateg., 2013
Proceedings of the 22nd International World Wide Web Conference, 2013
Smart Phone Based Indoor Pedestrian Localization System (S).
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013
Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013
Proceedings of the Recent Advances in Intelligent Informatics, 2013
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013
Extracting anomalies from time sequences derived from nuclear power plant data by using fixed width clustering algorithm.
Proceedings of the International Conference on Advances in Computing, 2013
Anomaly Detection and Similarity Search in Neutron Monitor Data for Predictive Maintenance of Nuclear Power Plants.
Proceedings of the 2013 2nd International Conference on Advanced Computing, 2013
2012
Corrigendum to "Hiding co-occurring prioritized sensitive patterns over distributed progressive sequential data streams" [J. Network Comput. Appl. 35 (3) (2012) 1116-1129].
J. Netw. Comput. Appl., 2012
Hiding co-occurring prioritized sensitive patterns over distributed progressive sequential data streams.
J. Netw. Comput. Appl., 2012
Int. J. Funct. Informatics Pers. Medicine, 2012
Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012
Pre-clustering algorithm for anomaly detection and clustering that uses variable size buckets.
Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012
Distributed frequent itemset mining framework for incremental data using MPI-style WSRF services.
Proceedings of the 2012 International Conference on Advances in Computing, 2012
2011
J. Medical Syst., 2011
Int. J. Comput. Vis. Robotics, 2011
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011
Proceedings of the 4th Bangalore Annual Compute Conference, Compute 2011, 2011
2010
J. Comput. Methods Sci. Eng., 2010
Effective framework for prediction of disease outcome using medical datasets: clustering and classification.
Int. J. Comput. Intell. Stud., 2010
CoRR, 2010
Privacy-Preserving Naïve Bayes Classification Using Trusted Third Party and Offset Computation over Distributed Databases.
Proceedings of the Information and Communication Technologies - International Conference, 2010
Proceedings of the Information and Communication Technologies - International Conference, 2010
Efficient Mining of Frequent Items Coupled with Weight and /or Support over Progressive Databases.
Proceedings of the Data Engineering and Management - Second International Conference, 2010
Proceedings of the Contemporary Computing - Third International Conference, 2010
Proceedings of the Contemporary Computing - Third International Conference, 2010
Proceedings of the 2010 EDBT/ICDT Workshops, Lausanne, Switzerland, March 22-26, 2010, 2010
A Border-Based Approach for Hiding Fuzzy Weighted Sensitive Itemsets.
Proceedings of The 2010 International Conference on Data Mining, 2010
2009
Using Shape Patterns for Clustering Unstructured Text Documents.
Proceedings of the 18th International Conference on Software Engineering and Data Engineering (SEDE-2009), 2009
Privacy Preserving Sequential Pattern Mining in Progressive Databases Using Noisy Data.
Proceedings of the 13th International Conference on Information Visualisation, 2009
A Hierarchical Clustering Scheme for Unstructured Text Data.
Proceedings of the 2009 International Conference on Information & Knowledge Engineering, 2009
2008
Using Moments for Feature Extraction from Time Series Data.
Proceedings of the 17th International Conference on Software Engineering and Data Engineering (SEDE-2008), June 30, 2008
E-CAP: An Extended Capability Based Mechanism to Limit Distributed Denial of Service Attacks.
Proceedings of the First International Conference on Emerging Trends in Engineering and Technology, 2008
2007
J. Convergence Inf. Technol., 2007
Finding Associations in Time Series Data Using Centroids.
Proceedings of the 2007 International Conference on Data Mining, 2007
2005
Informatica (Slovenia), 2005
Proceedings of the Database Technologies 2005, 2005
2004
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004