Concatenation of Space-Time Coding and FEC for Few-Mode Fiber Systems

Amhoud, El Mehdi; Othman, Ghaya Rekaya-Ben; Jaouën, Yves

doi:10.1109/lpt.2017.2675919

Cited by 22 publications

(10 citation statements)

References 16 publications

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“…The 640×640×3 pixel picture is reduced into four smaller 320×320×3 pixel images, which are then concatenated into a 320×320×12 pixel feature map. Once 32 convolutional kernels are used, the result is a 320×320×32 feature map [34][35][36]. The model's CoBL module is a basic convolutional module that embodies the Conv2D + batch normalization (BN) + Leaky relu activation function.…”

Section: Computational and Mathematical Methods In Medicinementioning

confidence: 99%

Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine-Tuning Approach

Shelatkar

Garg

Shorfuzzaman

et al. 2022

Computational and Mathematical Methods in Medicine

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Brain cancer is a rare and deadly disease with a slim chance of survival. One of the most important tasks for neurologists and radiologists is to detect brain tumors early. Recent claims have been made that computer-aided diagnosis-based systems can diagnose brain tumors by employing magnetic resonance imaging (MRI) as a supporting technology. We propose transfer learning approaches for a deep learning model to detect malignant tumors, such as glioblastoma, using MRI scans in this study. This paper presents a deep learning-based approach for brain tumor identification and classification using the state-of-the-art object detection framework YOLO (You Only Look Once). The YOLOv5 is a novel object detection deep learning technique that requires limited computational architecture than its competing models. The study used the Brats 2021 dataset from the RSNA-MICCAI brain tumor radio genomic classification. The dataset has images annotated from RSNA-MICCAI brain tumor radio genomic competition dataset using the make sense an AI online tool for labeling dataset. The preprocessed data is then divided into testing and training for the model. The YOLOv5 model provides a precision of 88 percent. Finally, our model is tested across the whole dataset, and it is concluded that it is able to detect brain tumors successfully.

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Section: Computational and Mathematical Methods In Medicinementioning

confidence: 99%

Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine-Tuning Approach

Shelatkar

Garg

Shorfuzzaman

et al. 2022

Computational and Mathematical Methods in Medicine

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“…In [43], the authors studied the effect of PAPR reduction in visible light communication (VLC) on the BER assessment of OFDM-based image transmission system. The effect of different decoding algorithms on the BER assessment of MIMO-OFDM-based image transmission system has been proposed in [44,45]. The authors of [3] studied the impact of using combining techniques along with diversity order on the BER of different modulation schemes used for image transmission in MIMO-OFDM systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Analysis of Massive MIMO-OFDM System Incorporated with Various Transforms for Image Communication in 5G Systems

et al. 2022

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Modern-day applications of fifth-generation (5G) and sixth-generation (6G) systems require fast, efficient, and robust transmission of multimedia information over wireless communication medium for both mobile and fixed users. The hybrid amalgamation of massive multiple input multiple output (mMIMO) and orthogonal frequency division multiplexing (OFDM) proves to be an impressive methodology for fulfilling the needs of 5G and 6G users. In this paper, the performance of the hybrid combination of massive MIMO and OFDM schemes augmented with fast Fourier transform (FFT), fractional Fourier transform (FrFT) or discrete wavelet transform (DWT) is evaluated to study their potential for reliable image communication. The analysis is carried over the Rayleigh fading channels and M-ary phase-shift keying (M-PSK) modulation schemes. The parameters used in our analysis to assess the outcome of proposed versions of OFDM-mMIMO include signal-to-noise ratio (SNR) vs. peak signal-to-noise ratio (PSNR) and SNR vs. structural similarity index measure (SSIM) at the receiver. Our results indicate that massive MIMO systems incorporating FrFT and DWT can lead to higher PSNR and SSIM values for a given SNR and number of users, when compared with in contrast to FFT-based massive MIMO-OFDM systems under the same conditions.

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“…Similar resonant type dielectric structures were previously considered in relation with the optical wavelength range. In research works presented by [32][33][34][35], the designs and operational features of the so-called "microgear resonators" were discussed and considered as basic elements of lasers in the optical range [36][37][38][39][40]. In [41], the optimization of the conditions for the excitation of WGMs in such resonators by electromagnetic coupling with a waveguide is proposed.…”

Section: Research Goals and Objectivesmentioning

confidence: 99%

Millimeter Wave All-Around Antenna Based on Whispering Gallery Mode Dielectric Resonator for IoT-Based Applications

Kogut

Annino

Bakkali

et al. 2022

Wireless Communications and Mobile Computing

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This work is devoted to the study of the emitting properties of azimuthally inhomogeneous segmental dielectric resonators excited by whispering gallery modes. Due to the diffraction of the azimuthal waves on local nonhomogeneities located equidistantly along the azimuthal coordinate, intense electromagnetic radiation is achieved in the azimuthal sector of the angles 0°-360°. A prototype of an all-around emitting antenna based on basis of a segmental dielectric resonator is proposed, and its characteristics in the far zone are studied. It is shown that such an antenna forms a multilobe radiation pattern (72 lobes) in the circle sector of angles. The antenna gain in the lobes at the resonant frequency reaches 12 dB. Antenna optimization is achieved in the proposed method because of the large gain produced by the antenna. It is also analyzed that these types of radiation patterns observed by antennas are well used for the Internet of Things- (IoT-) based applications.

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Concatenation of Space-Time Coding and FEC for Few-Mode Fiber Systems

Cited by 22 publications

References 16 publications

Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine-Tuning Approach

Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine-Tuning Approach

Performance Analysis of Massive MIMO-OFDM System Incorporated with Various Transforms for Image Communication in 5G Systems

Millimeter Wave All-Around Antenna Based on Whispering Gallery Mode Dielectric Resonator for IoT-Based Applications

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