Abstract: Remote sensing images are usually characterized by complex backgrounds, scale and orientation variations, and large intraclass variance. General semantic segmentation methods usually fail to ...

Abstract: Next Point-of-interest recommendation involves modeling user interactions with Point-of-interests (PoIs) to analyze user behavior patterns and suggest future scenarios. Data sparsity ...

Abstract: As a cornerstone in the Evolutionary Computation (EC) domain, Differential Evolution (DE) is known for its simplicity and effectiveness in handling challenging black-box optimization ...

Abstract: To improve the dynamic performance and disturbance rejection capability of the permanent magnet synchronous motor (PMSM) system, an adaptive super-twisting nonsingular terminal sliding mode ...

Abstract: The survey and monitoring of natural resources in complex and hazardous areas with rugged terrain and insufficient infrastructure is a challenging issue in the industry. Currently, ground ...

Abstract: With the continuous development of the power system, in the face of the frequency deviation caused by the randomness and volatility of renewable energy sources such as photovoltaic and wind ...

Abstract: Light detection and ranging (LiDAR) point cloud compression (LPCC) plays an important role in managing the storage, transmission, and perception of the rapidly expanding volume of LiDAR ...

Abstract: This paper introduces a novel optimized hybrid model combining Long Short-Term Memory (LSTM) and Transformer deep learning architectures designed for power load forecasting. It leverages the ...

Abstract: Current orthopedic surgical robots are widely used in pedicle screw implantation tasks due to their precise positioning capabilities. However, the surgical operation processes, including ...

Abstract: Over the past decades, the number of submitted articles that use numerical approaches for SPICE models or for characterization (extraction) of parameters of existing SPICE models has grown ...

Abstract: Recently, great interests have been attracted on the online decomposition of surface electromyogram (SEMG) but current studies mainly performed validation on simulated EMG signals due to the ...

Abstract: This study presents a brain-computer interface (BCI) approach that uses optically pumped magnetometers (OPMs)-based magnetoencephalography (MEG) associated with motor imagery (MI) for the ...