Conference Proceeding ·2026

Beyond Pandas: A Dask-based parallel pipeline for large-scale synthetic data generation

Proceedings of the 4th International Conference on Computing Advancements (ICCA 2026)

Sadman Sharif

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1

Sadman Sharif first author

More from Sadman

5 others

2026 Layerwise sparsity allocation in convolutional neural networks via a linear-chain CRF energy model Proceedings of the 4th International Conference on Computing Advancements (ICCA 2026) 2026 Probe-reliability and architectural compensation in CNN channel pruning Lecture Notes in Networks and Systems. Springer Nature. 2026 Covert data transmission using secret sharing and ARP network steganography Taylor & Francis 2026 Adaptive alarm threshold prediction in 4G mobile networks: A percentile-guided deep learning framework with interpretable outputs arXiv 2025 Detecting Different Stages of Alzheimer’s Disease from MRI Images using Deep Learning and Computer Vision Techniques 4th International Conference on Electrical, Computer, and Communication Engineering (ECCE 2025)

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Record

Journal / Conference

Proceedings of the 4th International Conference on Computing Advancements (ICCA 2026)

Year

2026

Type

Conference Proceeding

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Cite this work

APA

Sadman Sharif (2026). Beyond Pandas: A Dask-based parallel pipeline for large-scale synthetic data generation. Proceedings of the 4th International Conference on Computing Advancements (ICCA 2026).

IEEE

[1] Sadman Sharif, "Beyond Pandas: A Dask-based parallel pipeline for large-scale synthetic data generation," Proceedings of the 4th International Conference on Computing Advancements (ICCA 2026), 2026.

BibTeX

@article{diu_12032,
  author = {Sadman Sharif},
  title = {Beyond Pandas: A Dask-based parallel pipeline for large-scale synthetic data generation},
  journal = {Proceedings of the 4th International Conference on Computing Advancements (ICCA 2026)},
  year = {2026}
}