Browsing by author "Dey, Bappaditya"
Now showing items 1-20 of 24
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A Comparative Study of Deep-Learning Object Detectors for Semiconductor Defect Detection
Dehaerne, Enrique; Dey, Bappaditya; Halder, Sandip (2022) -
A novel design gate based low-cost configurable RO PUF using reversible logic
Dey, Bappaditya; Khalil, K.; Kumar, A.; Bayoumi, M. (2019) -
A Novel Design Reversible logic based Configurable Fault-Tolerant Embryonic Hardware
Khalil, Kasem; Dey, Bappaditya; Sherazi, Yasser; Kumar, Ashok; Bayoumi, Magdy (2020) -
A novel reconfigurable hardware architecture of neural network
Khalil, K.; Eldash, O.; Dey, Bappaditya; Kumar, A.; Bayoumi, M. (2019) -
A reversible-logic based architecture for artificial neural network
Dey, Bappaditya; Khalil, K.; Kumar, A.; Bayoumi, M. (2020) -
A Reversible-Logic based Architecture for Convolutional Neural Network (CNN)
Khalil, Kasem; Dey, Bappaditya; Kumar, Ashok; Bayoumi, Magdy (2021) -
A Reversible-Logic based Architecture for Long Short-Term Memory (LSTM) Network
Khalil, Kasem; Dey, Bappaditya; Kumar, Ashok; Bayoumi, Magdy (2021) -
A Reversible-Logic based Architecture for VGGNet
Dey, Bappaditya; Khalil, Kasem; Kumar, Ashok; Bayoumi, Magdy (2021) -
Adaptive Hardware Architecture for Neural-Network-on-Chip
Khalil, Kasem; Dey, Bappaditya; Kumar, Ashok; Bayoumi, Magdy (2022) -
An Efficient Embryonic Hardware Architecture based on Network-on-Chip
Khalil, Kasem; Eldash, Omar; Dey, Bappaditya; Kumar, Ashok; Bayoumi, Magdy (2021) -
An Efficient Reconfigurable Neural Network on Chip
Khalil, Kasem; Dey, Bappaditya; Abdelrehim, Mostafa; Kumar, Ashok; Bayoumi, Magdy (2021) -
Architecture of a novel low-cost hardware neural network
Khalil, K.; Eldash, O.; Dey, Bappaditya; Kumar, A.; Bayoumi, M. (2020) -
Code Generation Using Machine Learning: A Systematic Review
Dehaerne, Enrique; Dey, Bappaditya; Halder, Sandip; De Gendt, Stefan; Meert, Wannes (2022) -
e-beam metrology of thin resist for high NA EUVL
Lorusso, Gian; De Simone, Danilo; Zidan, Mohamed; Severi, Joren; Moussa, Alain; Dey, Bappaditya; Halder, Sandip; Goldenshtein, Alex; Houchens, Kevin; Santoro, Gaetano; Fischer, Daniel; Muellender, Angelika; Mack, Chris; Kondo, Tsuyoshi; Shohjoh, Tomoyasu; Ikota, Masami; Charley, Anne-Laure; De Gendt, Stefan; Leray, Philippe (2023) -
Extraction of Roughness Measurements from Thin Resists with Low Signal-to-Noise-Ratio (SNR) SEM Images by Applying Deep Learning Denoiser
Zidan, Mohamed; Dey, Bappaditya; De Simone, Danilo; Severi, Joren; Charley, Anne-Laure; Halder, Sandip; Leray, Philippe; De Gendt, Stefan; Lorusso, Gian (2022) -
Machine Learning-Based Edge Placement Error Analysis and Optimization: A Systematic Review
Ngo, Anh Tuan; Dey, Bappaditya; Halder, Sandip; De Gendt, Stefan; Wang, Changhai (2023) -
Neuro-NoC: Energy Optimization in Heterogeneous Many-Core NoC using Neural Networks in Dark Silicon Era
Reza, M. F.; Le, T. T.; Dey, Bappaditya; Bayoumi, Magdy; Zhao, D. (2018) -
Optimizing YOLOv7 for Semiconductor Defect Detection
Dehaerne, Enrique; Dey, Bappaditya; Halder, Sandip; De Gendt, Stefan (2023) -
SEM image denoising with Unsupervised Machine Learning for better defect inspection and metrology
Dey, Bappaditya (2021) -
SEM image denoising with Unsupervised Machine Learning for better defect inspection and metrology
Dey, Bappaditya; Halder, Sandip; Khalil, K.; Lorusso, Gian; Severi, Joren; Leray, Philippe; Bayoumi, M. (2021)