This research delves into the evaluation of Artificial Neural Networks (ANNs) in tackling the intricate domain of inverse kinematics problems within the context of robotic systems. Compared to direct kinematics, inver...
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In addressing the issue of gait measurement during human exoskeleton use, this paper proposes a method utilizing passive wearable exoskeletons to measure human gait and designs a prototype device for collecting gait c...
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Industrial real-time Ethernet technology is widely used in modern industrial control systems due to its high communication rate and low application cost. However, in complex network environments, industrial real-time ...
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With the increasing energy demand, the efficient operation of power distribution network system becomes particularly important. In order to improve the operation and maintenance efficiency and safety of the distributi...
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Artificial Neural Networks (ANN) are now widely used in the medical field. However, on many datasets, only using ANN does not necessarily yield high prediction accuracy to some extent. Therefore, in this paper, the au...
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The social networking sites of Instagram, WhatsApp, Twitter, and YouTube have led to this tremendous volume of user-generated content in text, images, and videos. Now all these elements-from marketing to direct custom...
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Creating and maintaining access control policies is a challenging problem for security administrators. To address this problem, we present an improved algorithm to mine access control policies from potentially incompl...
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The proceedings contain 33 papers. The special focus in this conference is on Artificial Intelligence, robotics, and Communication. The topics include: Design and Research of UAV Fire Emergency and Intelligent Inspect...
ISBN:
(纸本)9789819721993
The proceedings contain 33 papers. The special focus in this conference is on Artificial Intelligence, robotics, and Communication. The topics include: Design and Research of UAV Fire Emergency and Intelligent Inspection System in the Valve Hall of Converter Station;Development Overview and Application Prospects of Advanced UUVs;bisporus Mushroom 3D Reconstruction for Digital Twin of Smart Factory;Research on Automatic Music Generation Based on LSTM;specific Emitter Identification Method Based on Aggregation Model with Metric Learning in Complex Field;fake Comment Detection Based on Generative Adversarial Networks;Shipping Risk Assessment Ship Inspection Method Based on Improved YOLOv5;spatiotemporal Prediction of Harmful Algal Blooms Based on Spatiotemporal Attention and Transformer;large-Scale Information Dissemination Algorithm Based on Random Mapping;Smoke Detection in Complex Scenery Using Improved Faster-RCNN;CoT-Enhanced CNN-ViT Fusion with Adaptive Token Learning for Precise Facial Expression Recognition;evaluation Method of Cognitive Level Based on Machine Learning and Wearable Device;ship Image Segmentation Based on Multi-dimensional Information and Feature Fusion;real-Time 6-DoF Object Pose Estimation Network Based on 2D-3D Coordinate Correspondence;traffic Light Detection Based on Deep Learning;robot Navigation Based on Reinforcement Learning: An Overview;active control Technology of Supply Chain Intelligent Work Robot Based on Speech Enhancement Technology;research on Security Technology of Power Dispatching Data Network Based on Deep Learning;An Improved RRT Path Planning Method Incorporating Deep Reinforcement Learning for Space Multi-arm Robot;a Classification Denoising Algorithm Based on 3D Point Cloud Curvature;Comparative Analysis of the Effect of KPCA in PSO-GRU Combination Model.
This paper presents a smart surveillance system using robotics for analysing the wellbeing of the livestock and early detection of disease in poultry farms. The current system often identifies infections too late, res...
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Formation control and obstacle avoidance are critical challenges in the field of underwater robotics. This paper presents a novel approach using multi-agent reinforcement learning to address the critical challenges of...
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