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
65 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
55 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
23 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 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
11 2021 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 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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