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A Single Layer Miniaturized Band Stop Frequency Selective Surface with Oblique Stability
2023 10th International Conference on Electrical and Electronics Engineering (ICEEE)
Year: 2023 | Conference Paper |
In this paper, a highly compact single-layer frequency selective surface (FSS) with improved oblique stability is proposed for GSM shielding. The FSS element consists of interconnected concentric squares in each quadrant. These are connected with each other through outer convoluted square. The perimeter of the closed loop is significantly enhanced to lower the resonating frequency. This configurat...Show More
A Triband Multifunction Frequency Selective Surface
Gulab Shah;Qunsheng Cao;Zain Ul Abidin;Faisal Amin;Zaheer Ahmed Dayo
2023 10th International Conference on Electrical and Electronics Engineering (ICEEE)
Year: 2023 | Conference Paper |
In this paper, a Triband Multifunction Frequency Selective Surface (TMFSS) is proposed. There are four number of p-i-n diodes used in TMFSS unit cell which are biased on parallel biasing principle. Between 1~2.0 volts are required only to feed the diodes in a layer of full board. Three bands can be selected for transmission and reflection in multiple ways along with polarization control. The opera...Show More
Deblur-CycleGAN: A Generative Cyclic Approach for Image Blind Motion Deblurring
Ali Syed Saqlain;Songyuan Yu;Li-Yun Wang;Tanvir Ahmad;Zain Ul Abidin
2022 7th International Conference on Computer and Communication Systems (ICCCS)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
In this paper, we propose an end-to-end generative adversarial network (GAN) for single image blind motion deblur-ring, which we called Deblur-CycleGAN. Inspired by the cyclic nature of the original CycleGAN, we perform single image blind motion deblurring in similar fashion while presenting motion deblurring as a cycle-consistent approach. Our proposed method achieves the best qualitative and qua...Show More
Evolution and effectiveness of loss functions in generative adversarial networks
Ali Syed Saqlain;Fang Fang;Tanvir Ahmad;Liyun Wang;Zain-ul Abidin
Recently, the evolution of Generative Adversarial Networks (GANs) has embarked on a journey of revolutionizing the field of artificial and computational intelligence. To improve the generating ability of GANs, various loss functions are introduced to measure the degree of similarity between the samples generated by the generator and the real data samples, and the effectiveness of the loss function...Show More
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