Diaa Badawi

According to our database, Diaa Badawi authored at least 18 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Block Walsh-Hadamard Transform-based Binary Layers in Deep Neural Networks.

Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin

ACM Trans. Embed. Comput. Syst., November, 2022

Multiplication-Avoiding Variant of Power Iteration with Applications.

Hongyi Pan, Diaa Badawi, Runxuan Miao, Erdem Koyuncu, Ahmet Enis Çetin

Proceedings of the IEEE International Conference on Acoustics, 2022

Detecting Anomaly in Chemical Sensors via Regularized Contrastive Learning.

Diaa Badawi, Ishaan Bassi, Sule Ozev, Ahmet Enis Çetin

Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Neural Network with Walsh-Hadamard Transform Layer For Ember Detection during a Wildfire.

Hongyi Pan, Diaa Badawi, Chang Chen, Adam C. Watts, Erdem Koyuncu, Ahmet Enis Çetin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

MF-Net: Compute-In-Memory SRAM for Multibit Precision Inference Using Memory-Immersed Data Conversion and Multiplication-Free Operators.

Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Robust Principal Component Analysis Using a Novel Kernel Related with the L1-Norm.

Hongyi Pan, Diaa Badawi, Erdem Koyuncu, A. Enis Çetin

CoRR, 2021

Discrete Cosine Transform Based Causal Convolutional Neural Network for Drift Compensation in Chemical Sensors.

Diaa Badawi, Agamyrat Agambayev, Sule Ozev, A. Enis Çetin

Proceedings of the IEEE International Conference on Acoustics, 2021

Robust Principal Component Analysis Using a Novel Kernel Related with the $L_{1}$ -Norm.

Hongyi Pan, Diaa Badawi, Erdem Koyuncu, A. Enis Çetin

Proceedings of the 29th European Signal Processing Conference, 2021

Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks.

Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Additive neural network for forest fire detection.

Hongyi Pan, Diaa Badawi, Xi Zhang, Ahmet Enis Çetin

Signal Image Video Process., 2020

Computationally Efficient Wildfire Detection Method Using a Deep Convolutional Network Pruned via Fourier Analysis.

Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin

Sensors, 2020

Computationally Efficient Spatio-Temporal Dynamic Texture Recognition for Volatile Organic Compound (VOC) Leakage Detection in Industrial Plants.

Diaa Badawi, Hongyi Pan, Sinan Cem Cetin, A. Enis Çetin

IEEE J. Sel. Top. Signal Process., 2020

Fourier Domain Pruning of MobileNet-V2 with Application to Video Based Wildfire Detection.

Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Atrial Fibrillation Risk Prediction from Electrocardiogram and Related Health Data with Deep Neural Network.

Yi-Huan Chen, A. Husain Twing, Diaa Badawi, Joseph Danavi, Mark McCauley, A. Enis Çetin

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Detecting Gas Vapor Leaks Using Uncalibrated Sensors.

Diaa Badawi, Tuba Ayhan, Sule Ozev, Chengmo Yang, Alex Orailoglu, Ahmet Enis Çetin

IEEE Access, 2019

Towards Co-designing Neural Network Function Approximators with In-SRAM Computing.

Shamma Nasrin, Diaa Badawi, Ahmet Enis Çetin, Wilfred Gomes, Amit Ranjan Trivedi

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Detecting Gas Vapor Leaks through Uncalibrated Sensor Based CPS.

Diaa Badawi, Sule Ozev, Jennifer Blain Christen, Chengmo Yang, Alex Orailoglu, A. Enis Çetin

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Non-Euclidean Vector Product for Neural Networks.

Arman Afrasiyabi, Diaa Badawi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman-Vural, A. Enis Çetin

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018