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 ...

Abstract: In recent years, many single hyperspectral image super-resolution methods have emerged to enhance the spatial resolution of hyperspectral images without hardware modification. However, ...

Abstract: In seismic full waveform inversion (FWI), the shot-encoding technique can reduce computational costs. It randomly encodes all individual shot gathers and combines them into a super shot ...

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 ...

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

Abstract: Atmospheric ducting has a significant impact on electromagnetic wave propagation. Radio signals that are trapped and guided by the atmospheric duct can travel a much longer distance over the ...

Abstract: Mobile edge computing (MEC) is considered a promising technology to provide low-latency services by keeping computing and other resources physically close to where they are needed. The ...

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: Model predictive control (MPC) has established itself as the primary methodology for constrained control, enabling general-purpose robot autonomy in diverse real-world scenarios. However, ...