Soham Roy

Orcid: 0000-0003-1284-8570

According to our database1, Soham Roy authored at least 17 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
A Survey and Recent Advances: Machine Intelligence in Electronic Testing.
J. Electron. Test., April, 2024

An Amalgamated Testability Measure Derived from Machine Intelligence.
Proceedings of the 37th International Conference on VLSI Design and 23rd International Conference on Embedded Systems, 2024

Quantum Implementation of Linear and Non-Linear Layers.
Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

Unsupervised Learning Provides Intelligence for Testing Hard to Detect Faults.
Proceedings of the IEEE International Test Conference, 2024

Effectiveness of Timing-Aware Scan Tests in Targeting Marginal Failures and Silent Data Errors in a Data Center Processor.
Proceedings of the IEEE International Test Conference, 2024

2023
Quantum Implementation of ASCON Linear Layer.
IACR Cryptol. ePrint Arch., 2023

2021
Improved Localized Sleep Scheduling Techniques to Prolong WSN Lifetime.
Scalable Comput. Pract. Exp., 2021

A two-stage CNN-based hand-drawn electrical and electronic circuit component recognition system.
Neural Comput. Appl., 2021

Special Session - Machine Learning in Test: A Survey of Analog, Digital, Memory, and RF Integrated Circuits.
Proceedings of the 39th IEEE VLSI Test Symposium, 2021

Training Neural Network for Machine Intelligence in Automatic Test Pattern Generator.
Proceedings of the 34th International Conference on VLSI Design and 20th International Conference on Embedded Systems, 2021

Unsupervised Learning in Test Generation for Digital Integrated Circuits.
Proceedings of the 26th IEEE European Test Symposium, 2021

Trident U-Net: An Encoder Fusion for Improved Biomedical Image Segmentation.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

2020
Offline hand-drawn circuit component recognition using texture and shape-based features.
Multim. Tools Appl., 2020

Improved Pseudo-Random Fault Coverage Through Inversions: a Study on Test Point Architectures.
J. Electron. Test., 2020

Machine Intelligence for Efficient Test Pattern Generation.
Proceedings of the IEEE International Test Conference, 2020

2019
Improved Random Pattern Delay Fault Coverage Using Inversion Test Points.
Proceedings of the 28th IEEE North Atlantic Test Workshop, 2019

Applying Neural Networks to Delay Fault Testing: Test Point Insertion and Random Circuit Training.
Proceedings of the 28th IEEE Asian Test Symposium, 2019


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