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2. D. Badawi, H. Pan, S. C. Cetin and A. Enis Çetin, "Computationally Efficient Spatio-Temporal Dynamic Texture Recognition for Volatile Organic Compound (VOC) Leakage Detection in Industrial Plants," in IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 4, pp. 676-687, May 2020, DOI: 10.1109/JSTSP.2020.2976555
3. Pan, H., Badawi, D., Zhang, X. et al. Additive neural network for forest fire detection. SIViP 14, 675–682 (2020). https://doi.org/10.1007/s11760-019-01600-7
4. D. Badawi, A. Agambayev, S. Ozev and A.E Cetin, "Real-Time Low-Cost Drift Compensation for Chemical Sensors Using a Deep Neural Network with Hadamard Transform and Additive Layers" in IEEE Sensors Journal, 2021, DOI: 10.1109/JSEN.2021.3084220.
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2. Badawi, Diaa, Sule Ozev, Jennifer Blain Christen, Chengmo Yang, Alex Orailoglu, and A. Enis Çetin. "Detecting Gas Vapor Leaks through Uncalibrated Sensor Based CPS." In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8296-8300. IEEE, 2019.
3. Badawi, Diaa, Agamyrat Agambayev, Sule Ozev, A. Enis Cetin. "Discrete Cosine Transform Based Causal Convolutional Neural Network for Drift Compensation in Chemical Sensors". In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021.
4. Pan, Hongyi, Diaa Badawi, A. Enis Cetin. "Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks". In Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2021.
5. Pan, Hongyi, Diaa Badawi, Erdem Koyuncu, A. Enis Cetin. "Robust Principal Component Analysis Using a Novel Kernel Related with the L1-Norm". In Proceedings of 29th European Signal Processing Conference (EUSIPCO). IEEE, 2021.