Anurag Dutta

Orcid: 0000-0002-5787-3860

According to our database1, Anurag Dutta authored at least 14 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
R<sup>2</sup>CS: a hybrid cryptosystem using RC-5 and RSA for secure transmission of satellite hyperspectral data.
Iran J. Comput. Sci., September, 2025

Dare Not to Avoid the Most Probable Ones: An Adaptive Probabilistic Interval-Selection Ensemble of Recurrent Neural Networks for Time Series Forecasting.
SN Comput. Sci., August, 2025

Kol-4-Gen: Stacked Kolmogorov-Arnold and Generative Adversarial Networks for Malware Binary Classification Through Visual Analysis.
IEEE Embed. Syst. Lett., August, 2025

InDeepFake: A novel multimodal multilingual indian deepfake video dataset.
Pattern Recognit. Lett., 2025

WaveDIF: Wavelet sub-band based Deepfake Identification in Frequency Domain.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
Newtonian Physics Informed Neural Network (NwPiNN) for Spatio-Temporal Forecast of Visual Data.
Hum. Centric Intell. Syst., September, 2024

2023
Correction to: Minimum average case time complexity for sorting algorithms.
Iran J. Comput. Sci., December, 2023

Minimum average case time complexity for sorting algorithms.
Iran J. Comput. Sci., December, 2023

Attractor Inspired Deep Learning for Modelling Chaotic Systems.
Hum. Centric Intell. Syst., December, 2023

Extrapolating linked list data structures to 3rd dimension.
Iran J. Comput. Sci., September, 2023

The Zeta (ζ) Notation for Complex Asymptotes.
CoRR, 2023

Unified View of Damage leaves Planimetry & Analysis Using Digital Images Processing Techniques.
CoRR, 2023

A Review on Optimality Investigation Strategies for the Balanced Assignment Problem.
CoRR, 2023

Forecasting the Economic Crisis of Sri Lanka: Application of Machine Learning Algorithms for Time Series Data.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023


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