The proceedings contain 86 papers. The topics discussed include: lithium battery capacity estimation based on improved convolutional neural network with self-attention mechanism;a component construction progress surve...
ISBN:
(纸本)9798350315301
The proceedings contain 86 papers. The topics discussed include: lithium battery capacity estimation based on improved convolutional neural network with self-attention mechanism;a component construction progress surveillance method using LiDAR and BIM;real-time SLAM with point-line features using EDLines in unknown aquatic environments;acoustic emission signal characteristics extraction based on improved EMD method for industrial robot body;research on full-envelope flight control of a new type tail-sitter UAV;exploring the effect of pitching and rolling spine angle for a galloping quadruped robot via trajectory optimization;integrating 3DS max with robot technology: a case study on the robot palletizer system;a pseudo-inverse redundancy-based resolution scheme at the acceleration level to control robotic arm motion;and physics-informed neural network approach for numeric modeling of rapid thermal processing system.
Due to the variety of steel grades, predicting and modeling the mechanical properties of hot-rolled steel strips is challenging. Additionally, the limited availability of certain steel grades prevents smooth model con...
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Dropout is a powerful way for preventing model overfitting. However, it is inefficient due to it randomly ignoring some neurons. Although there are many ways on Dropout, they are still either inefficient on improving ...
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The dynamic and accurate prediction of the target trajectory about UAVs is the key point of airspace management. For the task of air target trajectory prediction dominated by a variety of UAVs, traditional methods can...
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This paper addresses the issue of buoyancy variation caused by differences in seawater density at varying operational depths for small AUVs working within 200 meters. To tackle this, a buoyancy adjustment system is de...
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In the task of monitoring mushroom growth characteristics, the mushroom cap is one of the most important features. To address the challenges faced by traditional instance segmentation algorithms in segmenting the caps...
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The rapid expansion of internet data underscores the increasing significance of timely analysis and monitoring of public sentiments online. In this context, analyzing sentiments related to public opinion events become...
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Precision agriculture, or precision farming, or smart farming, refers to a contemporary approach that combines technology and data analytics with agricultural practices. This research paper examines the concept of pre...
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In today's changing world establishing strong connections, between sponsors and content creators is key to successful brand promotion. This paper presents a platform designed to enhance connections by utilizing ma...
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Underwater robots, despite their wide applications, struggle with localization and navigation in GPS-free environments, a problem potentially solvable by acoustic sensor modules. However, to counteract sensor bias cau...
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