A novel approach for CPU utilization on a multicore paradigm using parallel quicksort T Singh, DK Srivastava, A Aggarwal 2017 3rd International Conference on Computational Intelligence …, 2017 | 35 | 2017 |
Quality assessment and monitoring of river water using IoT infrastructure M Kumar, T Singh, MK Maurya, A Shivhare, A Raut, PK Singh IEEE Internet of Things Journal, 2023 | 21 | 2023 |
Performance comparison of sequential quick sort and parallel quick sort algorithms IS Rajput, B Kumar, T Singh International Journal of Computer Applications 57 (9), 14-22, 2012 | 20 | 2012 |
An efficient real-time stock prediction exploiting incremental learning and deep learning T Singh, R Kalra, S Mishra, Satakshi, M Kumar Evolving Systems 14 (6), 919-937, 2023 | 13 | 2023 |
Analysis and forecasting of air quality index based on satellite data T Singh, N Sharma, Satakshi, M Kumar Inhalation Toxicology 35 (1-2), 24-39, 2023 | 7 | 2023 |
Performance Analysis and Deployment of Partitioning Strategies in Apache Spark T Singh, S Gupta, Satakshi, M Kumar 7th International Conference on Machine Learning and Data Engineering …, 2022 | 7 | 2022 |
Fingerprint identification using modified capsule network T Singh, S Bhisikar, M Kumar 2021 12th International conference on computing communication and networking …, 2021 | 5 | 2021 |
Multiclass imbalanced big data classification utilizing spark cluster T Singh, R Khanna, M Kumar 2021 12th International Conference on Computing Communication and Networking …, 2021 | 5 | 2021 |
Threshold Analysis and Comparison of Sequential and Parallel Divide and Conquer Sorting Algorithms T Singh, DK Srivastava International Journal of Computer Applications 145 (10), 0975-8887, 2016 | 4 | 2016 |
Improved multi-class classification approach for imbalanced big data on spark T Singh, R Khanna, Satakshi, M Kumar The Journal of Supercomputing 79 (6), 6583-6611, 2023 | 3 | 2023 |
Real-time traffic light violations using distributed streaming T Singh, V Rajput, Satakshi, U Prasad, M Kumar The Journal of Supercomputing 79 (7), 7533-7559, 2023 | 2 | 2023 |
A Methodological Review of Time Series Forecasting with Deep Learning Model: A Case Study on Electricity Load and Price Prediction A Sinha, T Singh, R Vyas, M Kumar, OP Vyas Machine Learning, Image Processing, Network Security and Data Sciences …, 2023 | 2 | 2023 |
Distributed hyperparameter optimization based multivariate time series forecasting T Singh, A Sinha, S Singh, OP Vyas, M Kumar Multimedia Tools and Applications 83 (2), 5031-5053, 2024 | 1 | 2024 |
Multivariate time series short term forecasting using cumulative data of coronavirus S Mishra, T Singh, M Kumar, Satakshi Evolving Systems, 1-18, 2023 | 1 | 2023 |
A Study on Machine Learning-Based Water Quality Assessment and Wastewater Treatment S Singh, S Mishra, T Singh, S Thakur Artificial Intelligence Applications in Water Treatment and Water Resource …, 2023 | 1 | 2023 |
Air quality analysis during COVID-19 utilizing satellite data T Singh, N Sharma, V Rajput, S Mishra, M Kumar 2022 2nd International Conference on Intelligent Technologies (CONIT), 1-8, 2022 | 1 | 2022 |
Distributed Item Recommendation using Sentiment Analysis T Singh, V Rajput, N Sharma, Satakshi, M Kumar 3rd International Conference on Data Science and Applications (ICDSA 2022), 1-15, 2022 | 1 | 2022 |
WSN-Driven Advances in Soil Moisture Estimation: A Machine Learning Approach T Singh, M Kundroo, T Kim Electronics 13 (8), 1590, 2024 | | 2024 |
Water Quality Monitoring on Streaming Data B Kumar, T Singh, A Kumar, N Kumar Computology: Journal of Applied Computer Science and Intelligent …, 2024 | | 2024 |
Sentiment analysis based distributed recommendation system T Singh, V Rajput, N Sharma, M Kumar Multimedia Tools and Applications, 1-25, 2024 | | 2024 |