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Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
Support vector machines in engineering: an overview
This paper provides an overview of the support vector machine (SVM) methodology and its
applicability to real‐world engineering problems. Specifically, the aim of this study is to …
applicability to real‐world engineering problems. Specifically, the aim of this study is to …
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …
and transportation around the world for many years to come. However, with the rapid growth …
Short-term load forecasting and associated weather variables prediction using ResNet-LSTM based deep learning
Short-term load forecasting is mainly utilized in control centers to explore the changing
patterns of consumer loads and predict the load value at a certain time in the future. It is one …
patterns of consumer loads and predict the load value at a certain time in the future. It is one …
Minimum variance beamforming combined with adaptive coherence weighting applied to medical ultrasound imaging
Currently, the nonadaptive delay-and-sum (DAS) beamformer is used in medical ultrasound
imaging. However, due to its data-independent nature, DAS leads to images with limited …
imaging. However, due to its data-independent nature, DAS leads to images with limited …
Eigenspace-based minimum variance beamforming applied to medical ultrasound imaging
Recently, adaptive beamforming methods have been successfully applied to medical
ultrasound imaging, resulting in significant improvement in image quality compared with non …
ultrasound imaging, resulting in significant improvement in image quality compared with non …
Joint beamforming and power control for device-to-device communications underlaying cellular networks
M Lin, J Ouyang, WP Zhu - IEEE Journal on Selected Areas in …, 2015 - ieeexplore.ieee.org
In this paper, we address the issue of joint beamforming (BF) and power control for a device-
to-device (D2D) communication underlaying cellular network, where the wireless channels …
to-device (D2D) communication underlaying cellular network, where the wireless channels …
A low-complexity adaptive beamformer for ultrasound imaging using structured covariance matrix
In recent years, adaptive beamforming methods have been successfully applied to medical
ultrasound imaging, resulting in simultaneous improvement in imaging resolution and …
ultrasound imaging, resulting in simultaneous improvement in imaging resolution and …
Contrast enhancement and robustness improvement of adaptive ultrasound imaging using forward-backward minimum variance beamforming
In adaptive ultrasound imaging, accurate estimation of the array covariance matrix is of great
importance, and biases the performance of the adaptive beamformer. The more accurately …
importance, and biases the performance of the adaptive beamformer. The more accurately …
[KÖNYV][B] Support vector machines for antenna array processing and electromagnetics
M Martínez-Ramón, C Christodoulou - 2006 - books.google.com
Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear
solution for classification and regression tasks. These techniques have been proved to have …
solution for classification and regression tasks. These techniques have been proved to have …