Srinjoy Das
Orcid: 0000-0003-3821-8112
According to our database1,
Srinjoy Das
authored at least 26 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2014
2016
2018
2020
2022
2024
0
1
2
3
4
5
6
7
8
3
3
1
6
2
1
1
1
2
1
2
1
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
In-Situ Melt Pool Characterization via Thermal Imaging for Defect Detection in Directed Energy Deposition Using Vision Transformers.
CoRR, 2024
A Data-Efficient Sequential Learning Framework for Melt Pool Defect Classification in Laser Powder Bed Fusion.
CoRR, 2024
Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients.
CoRR, 2024
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Enhancing Bandwidth Efficiency for Video Motion Transfer Applications Using Deep Learning Based Keypoint Prediction.
Proceedings of the Engineering Applications of Neural Networks, 2024
2023
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything.
CoRR, 2023
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization.
CoRR, 2023
Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production.
CoRR, 2023
2022
Effective City Planning: A Data Driven Analysis of Infrastructure and Citizen Feedback in Bangalore.
CoRR, 2022
2021
Frontiers Appl. Math. Stat., 2021
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations.
CoRR, 2021
Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework.
CoRR, 2021
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications?
CoRR, 2021
IEEE Access, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2019
AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2017
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA.
CoRR, 2017
2016
IEEE Trans. Biomed. Circuits Syst., 2016
A nonparametric framework for quantifying generative inference on neuromorphic systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
2015
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013