Abstract: This paper describes a byte-oriented binary transmission code and its implementation. This code is particularly well suited for high-speed local area networks and similar data links, where ...

Abstract: Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex ...

Abstract: Sleep staging is a crucial task in sleep monitoring and diagnosis, but clinical sleep staging is both time-consuming and subjective. In this study, we proposed a novel deep learning ...

Abstract: Driven by the urgent need to displace fossil fuels for carbon emission reduction and climate change mitigation, offshore wind energy has emerged as a highly promising renewable energy source ...

Abstract: Remote sensing object detection (RSOD) using convolutional neural networks (CNNs) continues to pose challenges in achieving high detection accuracy due to the inherent complexity of remote ...

Abstract: Autonomous underwater vehicles (AUVs) equipped with the intelligent underwater object detection technique is of great significance for underwater navigation. Advanced underwater object ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6731005 ...

Abstract: The Prompt Gamma Timing (PGT) method provides the assessment of particle range by measuring the time of flight between the primary particle and PG detection. This non-invasive and real-time ...

Abstract: Seismic data often suffer from missing traces, and traditional reconstruction methods are cumbersome in parameterization and struggle to handle large-scale missing data. While deep learning ...

Abstract: Ensuring the safe and fast charging of lithium-ion battery (LIB) is a pivotal technology that plays a key role in advancing the wide application of electric vehicles. Currently, the majority ...