Sandeep Kumar
Orcid: 0000-0003-2776-5305Affiliations:
- South Asian University, Department of Computer Science, Maidan Garhi, New Delhi, India
- University of Tennessee, Department of Genetics Genomics and Informatics, Health Science Center, ME, USA
According to our database1,
Sandeep Kumar
authored at least 18 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
HYRIDE: HYbrid and Robust Intrusion DEtection approach for enhancing cybersecurity in Industry 4.0.
Internet Things, 2025
A stratified review of COVID-19 infection forecasting and an efficient methodology using multiple domain-based transfer learning.
Expert Syst. Appl., 2025
2024
A concise review towards a novel target specific multi-source unsupervised transfer learning technique for GDP estimation using CO<sub>2</sub> emission data.
Artif. Intell. Rev., December, 2024
Enhancing robustness and time efficiency of random vector functional link with optimized affine parameters in activation functions and orthogonalization.
Appl. Soft Comput., 2024
Multi-Dilated Convolutional LSTM With U-Net for Global Sea Surface Temperature Forecasting.
IEEE Access, 2024
2023
CO<sub>2</sub> emission based GDP prediction using intuitionistic fuzzy transfer learning.
Ecol. Informatics, November, 2023
UInDeSI4.0: An efficient Unsupervised Intrusion Detection System for network traffic flow in Industry 4.0 ecosystem.
Eng. Appl. Artif. Intell., April, 2023
2022
Multim. Tools Appl., 2022
A novel approach for COVID-19 Infection forecasting based on multi-source deep transfer learning.
Comput. Biol. Medicine, 2022
Some novel point operators and multiple rounds voting process based decision-making algorithm under picture fuzzy set environment.
Adv. Eng. Softw., 2022
2021
Anomaly based novel multi-source unsupervised transfer learning approach for carbon emission centric GDP prediction.
Comput. Ind., 2021
2020
Veracity handling and instance reduction in big data using interval type-2 fuzzy sets.
Eng. Appl. Artif. Intell., 2020
A Novel GDP Prediction Technique based on Transfer Learning using CO2 Emission Dataset.
CoRR, 2020
Isolation Forest Based Multi-Source Unsupervised Transfer Learning for Missing GDP Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
2018
Random Fuzzy Variable based Uncertainty Modelling for the Prediction of Human Development Index using CO2 Emission Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2016
Atanassov Intuitionistic Fuzzy Domain Adaptation to contain negative transfer learning.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016