Computationally efficient wildfire detection method using a deep convolutional network pruned via fourier analysis H Pan, D Badawi, AE Cetin
Sensors 20 (10), 2891, 2020
62 2020 Additive neural network for forest fire detection H Pan, D Badawi, X Zhang, AE Cetin
Signal, Image and Video Processing 14 (4), 675-682, 2020
54 2020 Mf-net: Compute-in-memory sram for multibit precision inference using memory-immersed data conversion and multiplication-free operators S Nasrin, D Badawi, AE Cetin, W Gomes, AR Trivedi
IEEE Transactions on Circuits and Systems I: Regular Papers 68 (5), 1966-1978, 2021
24 2021 Fast walsh-hadamard transform and smooth-thresholding based binary layers in deep neural networks H Pan, D Badawi, AE Cetin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
22 2021 Block Walsh–Hadamard transform-based binary layers in deep neural networks H Pan, D Badawi, AE Cetin
ACM Transactions on Embedded Computing Systems 21 (6), 1-25, 2022
18 2022 Deep neural network with walsh-hadamard transform layer for ember detection during a wildfire H Pan, D Badawi, C Chen, A Watts, E Koyuncu, AE Cetin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
18 2022 Computationally efficient spatio-temporal dynamic texture recognition for volatile organic compound (voc) leakage detection in industrial plants D Badawi, H Pan, SC Cetin, AE Cetin
IEEE Journal of Selected Topics in Signal Processing 14 (4), 676-687, 2020
15 2020 Detecting gas vapor leaks using uncalibrated sensors D Badawi, T Ayhan, S Ozev, C Yang, A Orailoglu, AE Cetin
IEEE Access 7, 155701-155710, 2019
14 2019 Non-euclidean vector product for neural networks A Afrasiyabi, D Badawi, B Nasir, O Yildi, FTY Vural, AE Çetin
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
14 2018 Robust Principal Component Analysis Using a Novel Kernel Related with the -Norm H Pan, D Badawi, E Koyuncu, AE Cetin
2021 29th European Signal Processing Conference (EUSIPCO), 2189-2193, 2021
10 2021 Discrete cosine transform based causal convolutional neural network for drift compensation in chemical sensors D Badawi, A Agambayev, S Ozev, AE Cetin
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
10 2021 Detecting anomaly in chemical sensors via L1-kernel-based principal component analysis H Pan, D Badawi, I Bassi, S Ozev, AE Cetin
IEEE Sensors Letters 6 (10), 1-4, 2022
9 2022 Multiplication free neural network for cancer stem cell detection in h-and-e stained liver images D Badawi, E Akhan, M Mallah, A Üner, R Çetin-Atalay, AE Çetin
Compressive Sensing VI: From Diverse Modalities to Big Data Analytics 10211 …, 2017
9 2017 Real-time low-cost drift compensation for chemical sensors using a deep neural network with hadamard transform and additive layers D Badawi, A Agambayev, S Ozev, AE Cetin
IEEE Sensors Journal 21 (16), 17984-17994, 2021
7 2021 Multiplication-avoiding variant of power iteration with applications H Pan, D Badawi, R Miao, E Koyuncu, AE Cetin
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
6 2022 Fourier domain pruning of mobilenet-v2 with application to video based wildfire detection H Pan, D Badawi, AE Cetin
2020 25th International Conference on Pattern Recognition (ICPR), 1015-1022, 2021
6 2021 Detecting gas vapor leaks through uncalibrated sensor based CPS D Badawi, S Ozev, JB Christen, C Yang, A Orailoglu, AE Çetin
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
6 2019 Atrial fibrillation risk prediction from electrocardiogram and related health data with deep neural network YH Chen, AH Twing, D Badawi, J Danavi, M McCauley, AE Cetin
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
5 2020 Deep-learning-based gas leak source localization from sparse sensor data D Badawi, I Bassi, S Ozev, AE Cetin
IEEE Sensors Journal 22 (21), 20999-21008, 2022
4 2022 Detecting anomaly in chemical sensors via regularized contrastive learning D Badawi, I Bassi, S Ozev, AE Cetin
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
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