Bappaditya Dey

According to our database, Bappaditya Dey authored at least 34 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Applying Machine Learning Models on Metrology Data for Predicting Device Electrical Performance.

Bappaditya Dey, Anh Tuan Ngo, Sara Sacchi, Víctor Blanco, Philippe Leray, Sandip Halder

CoRR, 2023

A Machine Learning Approach Towards SKILL Code Autocompletion.

Enrique Dehaerne, Bappaditya Dey, Wannes Meert

CoRR, 2023

Improved Defect Detection and Classification Method for Advanced IC Nodes by Using Slicing Aided Hyper Inference with Refinement Strategy.

Vic De Ridder, Bappaditya Dey, Víctor Blanco, Sandip Halder, Bartel Van Waeyenberge

CoRR, 2023

Benchmarking Feature Extractors for Reinforcement Learning-Based Semiconductor Defect Localization.

Enrique Dehaerne, Bappaditya Dey, Sandip Halder, Stefan De Gendt

CoRR, 2023

Deep learning denoiser assisted roughness measurements extraction from thin resists with low Signal-to-Noise Ratio(SNR) SEM images: analysis with SMILE.

Sara Sacchi, Bappaditya Dey, Iacopo Mochi, Sandip Halder, Philippe Leray

CoRR, 2023

Automated Semiconductor Defect Inspection in Scanning Electron Microscope Images: a Systematic Review.

Thibault Lechien, Enrique Dehaerne, Bappaditya Dey, Víctor Blanco, Sandip Halder, Stefan De Gendt

CoRR, 2023

SEMI-CenterNet: A Machine Learning Facilitated Approach for Semiconductor Defect Inspection.

Vic De Ridder, Bappaditya Dey, Enrique Dehaerne, Sandip Halder, Stefan De Gendt, Bartel Van Waeyenberge

CoRR, 2023

YOLOv8 for Defect Inspection of Hexagonal Directed Self-Assembly Patterns: A Data-Centric Approach.

Enrique Dehaerne, Bappaditya Dey, Hossein Esfandiar, Lander Verstraete, Hyo Seon Suh, Sandip Halder, Stefan De Gendt

CoRR, 2023

SEMI-DiffusionInst: A Diffusion Model Based Approach for Semiconductor Defect Classification and Segmentation.

Vic De Ridder, Bappaditya Dey, Sandip Halder, Bartel Van Waeyenberge

CoRR, 2023

A Deep Learning Framework for Verilog Autocompletion Towards Design and Verification Automation.

Enrique Dehaerne, Bappaditya Dey, Sandip Halder, Stefan De Gendt

CoRR, 2023

SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation as Rendering.

MinJin Hwang, Bappaditya Dey, Enrique Dehaerne, Sandip Halder, Young-han Shin

CoRR, 2023

Optimizing YOLOv7 for Semiconductor Defect Detection.

Enrique Dehaerne, Bappaditya Dey, Sandip Halder, Stefan De Gendt

CoRR, 2023

2022

Deep Learning based Defect classification and detection in SEM images: A Mask R-CNN approach.

Bappaditya Dey, Enrique Dehaerne, Kasem Khalil, Sandip Halder, Philippe Leray, Magdy A. Bayoumi

CoRR, 2022

Deep Learning-Based Defect Classification and Detection in SEM Images.

Bappaditya Dey, Dipam Goswami, Sandip Halder, Kasem Khalil, Philippe Leray, Magdy A. Bayoumi

CoRR, 2022

Code Generation Using Machine Learning: A Systematic Review.

Enrique Dehaerne, Bappaditya Dey, Sandip Halder, Stefan De Gendt, Wannes Meert

IEEE Access, 2022

Adaptive Hardware Architecture for Neural-Network-on-Chip.

Kasem Khalil, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi

Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

A Comparative Study of Deep-Learning Object Detectors for Semiconductor Defect Detection.

Enrique Dehaerne, Bappaditya Dey, Sandip Halder

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

2021

An Efficient Embryonic Hardware Architecture based on Network-on-Chip.

Kasem Khalil, Omar Eldash, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi

Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

A Reversible-Logic based Architecture for Convolutional Neural Network (CNN).

Kasem Khalil, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi

Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

A Reversible-Logic Based Architecture for Long Short-Term Memory (LSTM) Network.

Kasem Khalil, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

An Efficient Reconfigurable Neural Network on Chip.

Kasem Khalil, Bappaditya Dey, Mostafa Abdelrehim, Ashok Kumar, Magdy A. Bayoumi

Proceedings of the 28th IEEE International Conference on Electronics, 2021

A Reversible-Logic based Architecture for VGGNet.

Bappaditya Dey, Kasem Khalil, Ashok Kumar, Magdy A. Bayoumi

Proceedings of the 28th IEEE International Conference on Electronics, 2021

2020

Architecture of A Novel Low-Cost Hardware Neural Network.

Kasem Khalil, Omar Eldash, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi

Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

A Reversible-Logic based Architecture for Artificial Neural Network.

Bappaditya Dey, Kasem Khalil, Ashok Kumar, Magdy A. Bayoumi

Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

A Novel Design Reversible Logic Based Configurable Fault-Tolerant Embryonic Hardware.

Kasem Khalil, Bappaditya Dey, Yasser Sherazi, Ashok Kumar, Magdy A. Bayoumi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

A Novel Reconfigurable Hardware Architecture of Neural Network.

Kasem Khalil, Omar Eldash, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi

Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

A Novel Design Gate based Low-Cost Configurable RO PUF using Reversible Logic.

Bappaditya Dey, Kasem Khalil, Ashok Kumar, Magdy A. Bayoumi

Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

2018

Neuro-NoC: Energy Optimization in Heterogeneous Many-Core NoC using Neural Networks in Dark Silicon Era.

Md Farhadur Reza, Tung Thanh Le, Bappaditya Dey, Magdy A. Bayoumi, Dan Zhao

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Spectrum-Awareness-Based Performance and Scalability of Cognitive Radio Networks.

Oladiran G. Olaleye, Alaa Ali, Kasem Khalil, Bappaditya Dey, Dmitri D. Perkins, Magdy A. Bayoumi

Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

A Low Power Hardware Implementation of Multi-Object DPM Detector for Autonomous Driving.

Alaa Ali, Oladiran G. Olaleye, Bappaditya Dey, Kasem Khalil, Magdy A. Bayoumi

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Fast deep pyramid DPM object detection with region proposal networks.

Alaa Ali, Oladiran G. Olaleye, Bappaditya Dey, Magdy A. Bayoumi

Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017

Repair techniques for aged TSVs in 3D integrated circuits.

Siroos Madani, Kasem Khalil, Bappaditya Dey, Devante Bonton, Magdy A. Bayoumi

Proceedings of the 2017 IEEE International High Level Design Validation and Test Workshop, 2017

2014

Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models.

Brent Foster, Ulas Bagci, Ziyue Xu, Bappaditya Dey, Brian Luna, William Bishai, Sanjay Jain, Daniel J. Mollura

IEEE Trans. Biomed. Eng., 2014

2013

Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation.

Brent Foster, Ulas Bagci, Brian Luna, Bappaditya Dey, William Bishai, Sanjay Jain, Ziyue Xu, Daniel J. Mollura

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013