G cellular networks have achieved significant improvements in capacity and performance, while they have incurred a substantial increase in energy consumption at the base station (BS) level. To address this escalating ...
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MRI quality control plays a significant role in ensuring safety and quality of examinations. Most of the work in the area is devoted to the development of no-reference quality metrics. Some recent works use 2D or 3D c...
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ISBN:
(数字)9781665467704
ISBN:
(纸本)9781665467704
MRI quality control plays a significant role in ensuring safety and quality of examinations. Most of the work in the area is devoted to the development of no-reference quality metrics. Some recent works use 2D or 3D convolutional neural networks. For this study, we collected a dataset of 363 clinical MRI sequences with known results of quality control as well as 1295 clinical MRI sequences without known results of quality control. We propose a method based on neural networks that takes into account the three-dimensional context through the use of bidirectional LSTM, as well as a pre-training method based on a prediction of no-reference quality metrics using EfficientNet convolutional neural network that allows the use of unlabeled data. The proposed method makes it possible to predict the result of quality control with ROC-AUC of almost 0.94.
Lithium ion batteries have high energy density, long life cycle and light weight, which makes them the perfect choice for electric vehicles (EVs). Battery performances degrade with usage and time and this translates i...
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ISBN:
(数字)9781665466189
ISBN:
(纸本)9781665466189
Lithium ion batteries have high energy density, long life cycle and light weight, which makes them the perfect choice for electric vehicles (EVs). Battery performances degrade with usage and time and this translates into a decreased charge capacity and an increased internal resistance. Internal resistance is directly related to the amount of deliverable power, therefore its estimation is of particular interest for EVs. In this paper, time-frequency wavelet analysis will be used to detect the fast transients of the output voltage of the battery in order to estimate the internal resistance. The effectiveness of the proposed method is verified on the publicly available dataset from the Prognostics Data Repository of NASA.
This paper studies the difficult task of designing federated learning algorithms tailored for wireless ad hoc networks. Federated learning in such networks presents numerous challenges, including signal interference, ...
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With the rapid development of Deepfake synthesis technology in recent years, our cybersecurity and individual privacy face challenges. In pursuit of robust Deepfake detection, researchers have tried to use temporal cu...
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Stealth addresses protect recipient identity privacy in blockchain systems by allowing a sender to derive a stealth address using the recipient's public key, with the receiver deriving a corresponding one-time pri...
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distributed applications are increasingly deployed at the edge to provide low-latency user access. The hierarchical and localized distribution of edge nodes presents challenges for traditional consensus protocols. The...
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An autonomous system representing a set of intelligent agents carrying out some complex mission can rely only on the actions of its elements, the intelligence of which is intended and planned, foreseen and unforeseen ...
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In recent years, Spiking Neural networks (SNNs) have gained popularity over Artificial Neural networks (ANN) because of their asynchronous, binary, and sparse nature, which results in low-power computation. This paper...
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This paper presents a decentralized multi-agent system for intelligent traffic management in urban environments, where each agent represents a traffic light controller at an intersection. The proposed system leverages...
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