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

Abstract: As extensive renewable energy-based distributed generators (DGs) are integrated into the microgrids (MGs), system inertia drops sharply, posing enormous challenges to power quality. Inspired ...

Abstract: In general, breast PET inserts are designed to improve the detection capability for small lesions and early metastases. Expanding on prior research, the insert our group is developing aims ...

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, ...

Abstract: With the expansion of social robots’ working environments, developing strategies to mitigate their mistakes has become crucial, especially given the difficulty of entirely avoiding errors.

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: Particle therapy verification using induced prompt gamma radiation is a field of active research. We employ an iterative reconstruction algorithm to reconstruct the spatiotemporal emission ...

Abstract: Low signal-to-background ratio and subsequent image degradation limits the performance of Compton cameras and hinder their application for range verification in hadron therapy. While several ...

Abstract: Surface electromyography (sEMG) is a non-invasive technique that records the electrical signals generated by muscle activity. sEMG signals are widely used in the field of biomedical and ...