Diaa Badawi

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 23

Top Topics

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Hongyi Pan, Diaa Badawi, Runxuan Miao, Erdem Koyuncu, Ahmet Enis Çetin
Multiplication-Avoiding Variant of Power Iteration with Applications. ICASSP (2022)
Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin
Block Walsh-Hadamard Transform-based Binary Layers in Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Diaa Badawi, Ishaan Bassi, Sule Ozev, Ahmet Enis Çetin
Detecting Anomaly in Chemical Sensors via Regularized Contrastive Learning. ICASSP (2022)
Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin
Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural Networks. CoRR (2022)
Hongyi Pan, Diaa Badawi, Chang Chen, Adam Watts, Erdem Koyuncu, Ahmet Enis Çetin
Deep Neural Network with Walsh-Hadamard Transform Layer For Ember Detection during a Wildfire. CVPR Workshops (2022)
Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks. CVPR Workshops (2021)
Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference Using Memory-Immersed Data Conversion and Multiplication-Free Operators. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (5) (2021)
Hongyi Pan, Diaa Badawi, Erdem Koyuncu, A. Enis Çetin
Robust Principal Component Analysis Using a Novel Kernel Related with the $L_{1}$ -Norm. EUSIPCO (2021)
Diaa Badawi, Agamyrat Agambayev, Sule Ozev, A. Enis Çetin
Discrete Cosine Transform Based Causal Convolutional Neural Network for Drift Compensation in Chemical Sensors. ICASSP (2021)
Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks. CoRR (2021)
Hongyi Pan, Diaa Badawi, Erdem Koyuncu, A. Enis Çetin
Robust Principal Component Analysis Using a Novel Kernel Related with the L1-Norm. CoRR (2021)
Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference using Memory-immersed Data Conversion and Multiplication-free Operators. CoRR (2021)
Hongyi Pan, Diaa Badawi, Runxuan Miao, Erdem Koyuncu, Ahmet Enis Çetin
Multiplication-Avoiding Variant of Power Iteration with Applications. CoRR (2021)
Hongyi Pan, Diaa Badawi, Xi Zhang, Ahmet Enis Çetin
Additive neural network for forest fire detection. Signal Image Video Process. 14 (4) (2020)
Yi-Huan Chen, A. Husain Twing, Diaa Badawi, Joseph Danavi, Mark McCauley, A. Enis Çetin
Atrial Fibrillation Risk Prediction from Electrocardiogram and Related Health Data with Deep Neural Network. ICASSP (2020)
Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin
Computationally Efficient Wildfire Detection Method Using a Deep Convolutional Network Pruned via Fourier Analysis. Sensors 20 (10) (2020)
Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin
Fourier Domain Pruning of MobileNet-V2 with Application to Video Based Wildfire Detection. ICPR (2020)
Diaa Badawi, Hongyi Pan, Sinan Cem Cetin, A. Enis Çetin
Computationally Efficient Spatio-Temporal Dynamic Texture Recognition for Volatile Organic Compound (VOC) Leakage Detection in Industrial Plants. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Diaa Badawi, Tuba Ayhan, Sule Ozev, Chengmo Yang, Alex Orailoglu, Ahmet Enis Çetin
Detecting Gas Vapor Leaks Using Uncalibrated Sensors. IEEE Access 7 (2019)
Diaa Badawi, Tuba Ayhan, Sule Ozev, Chengmo Yang, Alex Orailoglu, A. Enis Çetin
Detecting Gas Vapor Leaks Using Uncalibrated Sensors. CoRR (2019)
Diaa Badawi, Sule Ozev, Jennifer Blain Christen, Chengmo Yang, Alex Orailoglu, A. Enis Çetin
Detecting Gas Vapor Leaks through Uncalibrated Sensor Based CPS. ICASSP (2019)
Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi
Towards Co-designing Neural Network Function Approximators with In-SRAM Computing. EMC2@NeurIPS (2019)
Arman Afrasiyabi, Diaa Badawi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman-Vural, A. Enis Çetin
Non-Euclidean Vector Product for Neural Networks. ICASSP (2018)