Siddhant Jain
Orcid: 0000-0003-0457-3108
According to our database1,
Siddhant Jain
authored at least 16 papers
between 2015 and 2025.
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Bibliography
2025
HSIRMamba: An effective feature learning for hyperspectral image classification using residual Mamba.
Image Vis. Comput., 2025
2024
Seer: A Framework for Optimizing Traffic Camera Placement and Deep Learning Inference at the Edge for Vehicle Path Reconstruction.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2024
Proceedings of the Advances in Information Retrieval, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Building Low-Latency Order Books with Hybrid Binary-Linear Search Data Structures on FPGAs.
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023
2022
Leveraging big data analytics in 5G-enabled IoT and industrial IoT for the development of sustainable smart cities.
Trans. Emerg. Telecommun. Technol., December, 2022
Fog computing in enabling 5G-driven emerging technologies for development of sustainable smart city infrastructures.
Clust. Comput., 2022
2021
Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility.
CAAI Trans. Intell. Technol., 2021
A multi-level classification and modified PSO clustering based ensemble approach for credit scoring.
Appl. Soft Comput., 2021
Role of machine learning and deep learning in securing 5G-driven industrial IoT applications.
Ad Hoc Networks, 2021
2019
2018
An Amalgamation of Classical and Quantum Machine Learning For the Classification of Adenocarcinoma and Squamous Cell Carcinoma Patients.
CoRR, 2018
2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017
2015
Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision.
IET Image Process., 2015