This project aims to enhance the intelligent early warning capabilities for major hazardous sources (storage tanks) in the chemical industrial park, with a focus on potential leaks, fires, and explosion hazards. By ut...
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Presently, the field of industrial process control and automation is facing significant challenges, with 40% of controllers operating in manual mode and poor tuning effects present in over 35% of them. Additionally, a...
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This paper discusses the application of a frequency converter in v/f mode to control the position of an excavator using twenty shorted-rotor induction motors connected to a common bus. First, the current system is dis...
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Hierarchical Federated Edge Learning (HFEL) is a promising and efficient framework, providing privacy preservation, which aims to address the issue of limited resources and network congestion by utilizing the availabl...
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Cryptographic functions with low differential uniformity have wide applications in cryptography and cyber security. In this paper, we further investigate c-differential uniformity proposed by Ellingsen et al. (IEEE Tr...
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This study presents a novel approach in the form of a fully automated car parking management system, integrating IoT, computer vision, and database technologies to alleviate urban mobility challenges. Employing vehicl...
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In recent years, Deep Reinforcement learning has made remarkable progress in various application areas such as control of robots and vehicles, simulation, and natural language processing. In recent years, various rese...
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A new fiber was designed and synthesized by using 2, 5-dihydroxyterephthalic acid instead of terephthalic acid as monomer in the structure of Polyp-phenyl dioxazole (PBO) fiber and introducing homophenic acid as the t...
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The proceedings contain 54 papers. The topics discussed include: an improved YOLOv7-tiny-based lightweight network for the identification of fish species;PPC-US-LSF3DOD: a pseudo-point-clouds based unsupervised and sc...
ISBN:
(纸本)9798350326369
The proceedings contain 54 papers. The topics discussed include: an improved YOLOv7-tiny-based lightweight network for the identification of fish species;PPC-US-LSF3DOD: a pseudo-point-clouds based unsupervised and scalable late-sensor-fusion method for 3D obstacle detection;optical character recognition of medical records based on deep learning;a comparative study of pre-trained CNNs and GRU-based attention for image caption generation;primary brain tumors image segmentation based on 3D-UNET with deep supervision and 3D brain modeling;an improved rotation-equivariant detector for aerial object detection;empirical UAV power consumption evaluation for optimized power constrained low cost UAV line of products path planning;and CTDS-Net: CNN-transformer fusion network for dermoscopic image segmentation.
A supply chain network has services and options for distribution that play out the job for materials acquirement and change from momentary to finish items and the circulation of complete items to clients. All manufact...
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