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28 characteristic parameters, such as moment features and texture features, are extracted from the photoelectric fusion PD pattern and, then, the principal component analysis (PCA) method is used to
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To improve the capture rate, recognition rate and weaken the false target influence in multi-photoelectric detection sensor testing system, this paper proposes D-S data fusion recognition
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With the continuous improvement of mine automation level, the application of online element rapid analysis technology with high speed, high
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The application of these new photoelectric detection devices can not only improve the accuracy and real-time performance of mechanical quantity detection but also expand the application of
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AbstractThe photoelectric factor (PEF) is an important well-logging tool to distinguish between different types of reservoir rocks because PEF measurement is sensitive to elements with
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Photoelectric materials are defined as materials that exhibit unique self-actuation photoelectric characteristics, enabling the separation of photoexcited electron-hole pairs to generate photocurrent
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By constructing the experimental platform of optical-UHF integrated detection for GIL, phase-resolved partial discharge (PRPD) patterns of three
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III-1. Introduction Radiotracers and nucleonic gauges are increasingly being applied by the mining, metallurgy and mineral processing industries for the exploration and efficient extraction of natural
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Ore photoelectric sorting technology has undergone significant advancements in recent years, revolutionizing the way minerals are separated in
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A dual strategy to enhance the photoelectric performance of Perovskite-Based photodetectors for potential applications in optical communications
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In the present study, the fusion of image and point data is proposed, aiming for the enhanced classification of ore and waste materials in a polymetallic sulphide deposit at 3%, 5% and
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Rapid and accurate recognition of coal and rock is an important prerequisite for safe and efficient coal mining. In this paper, a novel coal-rock recognition method is proposed based on fusing
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In this paper, we synthesize the differences in grayscale and texture information of phosphorite X-ray images and extract a total of six feature
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An accurate and reliable object detection is an important building block for the most autonomous driving system. Specially, in some scenarios like autonomous driving in the mining area, the detection of
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Article "Application Practice and Evaluation of Photoelectric Separation in a Phosphate Mining Industry" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and
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In order to adapt to the corrosion targets'' detectiontaskintheactualscene,inthisstudy,wefirstre- design the feature fusion network WA-PANet by deep- ening the feature fusion process and setting
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In the face of the mixed colloidal phosphorite that can not be exploited, based on the PSO-NP-FSVM photoelectric sorting operation, the
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Through the above measures, we can ensure that photoelectric mineral processing equipment performs well in practical applications, bringing economic benefits to enterprises while also promoting the
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Laser-based measurement and sensing technology has been paid more and more attention by academia and industry because of its incomparable
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This study provides a reliable theoretical support for solving the problem of low recognition rate of coal gangue in fully mechanized caving mining.
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(3) Via combining the research progress and practical application environment of photoelectric intelligent identification of coal gangue, the paper concludes that the problem of
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In this paper, we propose a multi-scales fusion and attention-based model to improve the performance of the object detection for different scales and camouflaged obstacles in the mining area, like trucks,
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Among them, XRT is currently the most widely used sensor information acquisition technology, and has achieved industrial applications in non-ferrous metal mining enterprises such as tungsten, tin,
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Their applications include industrial production, substance analysis, environmental monitoring and so on. In recent years, with the development of laser source and
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Marking solutions for the mining industry Versatile identification solutions for areas of application with extreme ambient conditions The extreme environmental conditions in the mining environment impose
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Photoelectric effect, phenomenon in which electrically charged particles are released from or within a material when it absorbs electromagnetic
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The photoelectric response of low-symmetry vans der Waals materials exhibits significant intrinsic anisotropy, which provide unique advantages for achieving high-performance polarization
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], a method of deep data fusion for photoelectric measurement is designed. In this method, the collected photoelectric measurement data are denoised and preprocessed, and then the features of the
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