End-to-end optimization of optical communication systems based on directly modulated lasers
The use of directly modulated lasers (DMLs) is attractive in low-power, cost-constrained
short-reach optical links. However, their limited modulation bandwidth can induce waveform …
short-reach optical links. However, their limited modulation bandwidth can induce waveform …
[HTML][HTML] A stacked machine learning model for the vertical total electron content forecasting
Abstract We design four Artificial Neural Network (ANN) models, namely a Multilayer
Perceptron (MLP), a Convolutional Neural Network (CNN), an Extreme Learning Machine …
Perceptron (MLP), a Convolutional Neural Network (CNN), an Extreme Learning Machine …
Interference Management for a Wireless Communication Network Using a Recurrent Neural Network Approach
Wireless communication technologies have profoundly impacted the interconnectivity of
mobile users and terminals. Nevertheless, the exponential increase in the number of users …
mobile users and terminals. Nevertheless, the exponential increase in the number of users …
End-to-end Optimization of Optical Communication Systems based on Directly Modulated Lasers
The use of directly modulated lasers (DMLs) is attractive in low-power, cost-constrained
short-reach optical links. However, their limited modulation bandwidth can induce waveform …
short-reach optical links. However, their limited modulation bandwidth can induce waveform …
OrgUNETR: Utilizing Organ Information and Squeeze and Excitation Block for Improved Tumor Segmentation
SR Choi, J Lee, M Lee - IEEE Access, 2024 - ieeexplore.ieee.org
Convolutional Neural Networks (CNNs) have demonstrated remarkable performance in
medical image segmentation tasks, with the U-Net architecture being a prominent example …
medical image segmentation tasks, with the U-Net architecture being a prominent example …