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Jyotirmaya Ijaradar Master of Science
Person

Affiliations

Chair of Traffic Process Automation
- Academic Staff
- jyotirmaya.ijaradar@tu-dresden.de

Identification Numbers

ORCID	0000-0002-8450-4550
Scopus author ID	58022143700

An Imputation-Enhanced Hybrid Deep Learning Approach for Traffic Volume Prediction in Urban Networks: A Case Study in Dresden

Yan, P., Li, Z., Ijaradar, J., Pape, S., Körner, M. & Wang, M., 13 Sept 2024, In: Data Science for Transportation. 6, 22.

Research output: Contribution to journal › Research article › Contributed › peer-review

Unlocking the Potential of Lignin: Towards a Sustainable Solution for Tire Rubber Compound Reinforcement

Hait, S., Kumar, L., Ijaradar, J., Ghosh, A. K., De, D., Chanda, J., Ghosh, P., & 5 othersGupta, S. D., Mukhopadhyay, R., Wießner, S., Heinrich, G. & Das, A., Jul 2024, In: Journal of cleaner production. 470, 143274.

Research output: Contribution to journal › Research article › Contributed › peer-review

Iterative Imputation of Incomplete Wireless Network Traffic using Adversarial Learning and a Two-Stage Approach

Richter, A., Ijaradar, J. & Wetzker, U., 3 May 2024, 2024 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024.

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

A Survey on Multivariate Time Series Imputation using Adversarial Learning

Richter, A., Ijaradar, J., Wetzker, U., Jain, V. & Frotzscher, A., 2024, In: IEEE access.

Research output: Contribution to journal › Research article › Contributed › peer-review

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Research Portal of the TU Dresden

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