This paper proposes an improved video action recognition method, primarily consisting of three key components. Firstly, in the data preprocessing stage, we developed multi-temporal scale video frame extraction and multi-spatial scale video cropping techniques to enhance content information and stand...

To enhance the LOMAX algorithm for sea ice concentration analysis in the polar regions, SSM/I 91.6GHz data was utilized, addressing the underuse of higher frequency data. The refinement process involved redefining PCT values for one-year and multi-year ice regions through both interpolation and leas...

The volume and complexity of data in various fields, particularly in biology, are increasing exponentially, posing a challenge to existing analytical methods, which often struggle with high-dimensional data such as single-cell Hi-C data. To address this issue, we employ unsupervised methods, specifi...

In light of the rapid advancements in big data and artificial intelligence technologies, the trend of uploading local files to cloud servers to mitigate local storage limitations is growing. However, the surge of duplicate files, especially images and videos, results in significant network bandwidth...

This study investigates the application of Internet of Things (IoT) technology in agriculture, focusing on the cultivation of patchouli, a medicinal plant known for its therapeutic properties. The research highlights the specific growth requirements and medicinal benefits of patchouli, and proposes...

This study introduces a novel two-stage approach for robotic grasp detection, addressing the challenges faced by end-to-end deep learning methodologies, particularly those based on convolutional neural networks (CNNs) that require extensive and often impractical datasets. Our method first leverages...

This paper explores the effectiveness of Model Predictive Control (MPC) for trajectory tracking in autonomous deep-sea tracked mining vehicles operating within polymetallic nodule mining environments, considering model uncertainties and external disturbances. Traditional applications of MPC in auton...

This paper provides a comprehensive review of the application of computer simulation in analyzing the performance of gas turbine engines. It introduces a novel three-tiered approach to simulate jet engine performance, enhancing understanding and optimization of design parameters. Utilizing a special...

This study explores the global advancements in Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM), focusing particularly on their application in the development of aero engines. It outlines the objectives, implementation stages, and anticipated computer system configurations for inte...

Driver fatigue is a significant contributor to road accidents worldwide. Timely detection and alert systems for driver fatigue can substantially enhance driving safety and reduce traffic-related casualties. This article presents a comprehensive review of the recent advancements in driver fatigue det...