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Diaa Badawi
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2020 – today
- 2022
- [j6]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): 69:1-69:25 (2022) - [c11]Hongyi Pan, Diaa Badawi, Chang Chen, Adam C. Watts, Erdem Koyuncu, Ahmet Enis Çetin:
Deep Neural Network with Walsh-Hadamard Transform Layer For Ember Detection during a Wildfire. CVPR Workshops 2022: 256-265 - [c10]Diaa Badawi, Ishaan Bassi, Sule Ozev, Ahmet Enis Çetin:
Detecting Anomaly in Chemical Sensors via Regularized Contrastive Learning. ICASSP 2022: 86-90 - [c9]Hongyi Pan, Diaa Badawi, Runxuan Miao, Erdem Koyuncu, Ahmet Enis Çetin:
Multiplication-Avoiding Variant of Power Iteration with Applications. ICASSP 2022: 5608-5612 - [i6]Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural Networks. CoRR abs/2201.02711 (2022) - 2021
- [j5]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): 1966-1978 (2021) - [c8]Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks. CVPR Workshops 2021: 4650-4659 - [c7]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: 2189-2193 - [c6]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: 8012-8016 - [i5]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 abs/2102.00035 (2021) - [i4]Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks. CoRR abs/2104.07085 (2021) - [i3]Hongyi Pan, Diaa Badawi, Erdem Koyuncu, A. Enis Çetin:
Robust Principal Component Analysis Using a Novel Kernel Related with the L1-Norm. CoRR abs/2105.11634 (2021) - [i2]Hongyi Pan, Diaa Badawi, Runxuan Miao, Erdem Koyuncu, Ahmet Enis Çetin:
Multiplication-Avoiding Variant of Power Iteration with Applications. CoRR abs/2110.12065 (2021) - 2020
- [j4]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): 676-687 (2020) - [j3]Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Computationally Efficient Wildfire Detection Method Using a Deep Convolutional Network Pruned via Fourier Analysis. Sensors 20(10): 2891 (2020) - [j2]Hongyi Pan, Diaa Badawi, Xi Zhang, Ahmet Enis Çetin:
Additive neural network for forest fire detection. Signal Image Video Process. 14(4): 675-682 (2020) - [c5]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: 1269-1273 - [c4]Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Fourier Domain Pruning of MobileNet-V2 with Application to Video Based Wildfire Detection. ICPR 2020: 1015-1022
2010 – 2019
- 2019
- [j1]Diaa Badawi, Tuba Ayhan, Sule Ozev, Chengmo Yang, Alex Orailoglu, Ahmet Enis Çetin:
Detecting Gas Vapor Leaks Using Uncalibrated Sensors. IEEE Access 7: 155701-155710 (2019) - [c3]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: 8296-8300 - [c2]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: 40-43 - [i1]Diaa Badawi, Tuba Ayhan, Sule Ozev, Chengmo Yang, Alex Orailoglu, A. Enis Çetin:
Detecting Gas Vapor Leaks Using Uncalibrated Sensors. CoRR abs/1908.07619 (2019) - 2018
- [c1]Arman Afrasiyabi, Diaa Badawi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman-Vural, A. Enis Çetin:
Non-Euclidean Vector Product for Neural Networks. ICASSP 2018: 6862-6866
Coauthor Index
aka: Ahmet Enis Çetin
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