Mohendra Roy

Orcid: 0000-0001-5815-3294

According to our database1, Mohendra Roy authored at least 26 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Hardware-Efficient FPGA Implementation of Sigmoid Function Using Mixed-Radix Hyperbolic Rotation CORDIC.
CoRR, April, 2026

From Alignment to Prediction: A Study of Self-Supervised Learning and Predictive Representation Learning.
CoRR, April, 2026

Design and Development of an ML/DL Attack Resistance of RC-Based PUF for IoT Security.
CoRR, March, 2026

Attention-gated U-Net model for semantic segmentation of brain tumors and feature extraction for survival prognosis.
CoRR, February, 2026

2025
Optimized RC-PUF Design for IoT Security: Evaluation of the Impact of ADC Bit Selection and Time Delay on Uniqueness, Reliability, and Statistical Randomness.
J. Hardw. Syst. Secur., December, 2025

2024
Dataset for various grit-size Abrasive sheets.
Dataset, February, 2024

Deriving and interpreting robust features for survival prediction of brain tumor patients.
Int. J. Imaging Syst. Technol., 2024

Interpreting Survival Predictor Model for Glioblastoma Using Explainable Artificial Intelligence.
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

2023
Multi-view brain tumor segmentation (MVBTS): An ensemble of planar and triplanar attention UNets.
Turkish J. Electr. Eng. Comput. Sci., October, 2023

Interpretable machine learning model to predict survival days of malignant brain tumor patients.
Mach. Learn. Sci. Technol., June, 2023

2022
Artificial Intelligence in Material Engineering: A review on applications of AI in Material Engineering.
CoRR, 2022

Machine learning based lens-free imaging technique for field-portable cytometry.
CoRR, 2022

Artificial Intelligence Powered Material Search Engine.
CoRR, 2022

Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Glioblastoma Multiforme Patient Survival Prediction.
Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

Role of Artificial Intelligence Based Wireless Sensor Network for Pandemic Control: A Case Study Using CupCarbon.
Proceedings of the Use of AI, Robotics, and Modern Tools to Fight Covid-19., 2021

2020
ADIC: Anomaly Detection Integrated Circuit in 65-nm CMOS Utilizing Approximate Computing.
IEEE Trans. Very Large Scale Integr. Syst., 2020

ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65-nm CMOS.
IEEE Trans. Circuits Syst. I Regul. Pap., 2020

ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing.
CoRR, 2020

An Optimized Neural Network Architecture for Auto Characterization of Biological Cells in Digital Inline Holography Micrographs.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

ANNSESDIHM: An Artificial Neural Network based Signal Enhancement Scheme for Digital Inline Holography (DIH) Microscope.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

2019
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS.
CoRR, 2019

Live Demonstration: Autoencoder-Based Predictive Maintenance for IoT.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

ADEPOS: anomaly detection based power saving for predictive maintenance using edge computing.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018


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