WITHDRAWN: Evaluation model of soil heavy metal pollution index based on machine learning and particle image recognition

Dai, Hongjing; Huang, Dena; Mao, Haili

doi:10.1016/j.micpro.2020.103411

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…It can better reflect the essential real characteristics of the data. In the deep model, the input data undergoes sequential actions of multiple hidden layers to generate feature maps of different levels, providing a better ability to express and extract essential features [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Research and development of image homology identification technology based on fine registration

zhiqing,

James A. Esquivel

2024

International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024)

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The function of recording and reproducing facts according to statistics is widely used. However, the appearance of image editing software makes it easy to tamper with image information, which reduces its credibility and authenticity. Therefore, judging and restoring the originality, authenticity, and integrity of digital images has become an urgent problem to be solved. To address these issues, we propose a corresponding image recognition technology based on fine registration. We measure the system of image matching and automatic correction for users in different shooting angles, image sizes, image acquisition devices, image rotation differences, and different lighting conditions. This technology aims to eliminate noise pollution in the process of image transmission and establish testing standards for images. Through the deep learning process, we have achieved a high-precision image homology recognition method that possesses the characteristics of good robustness, fast response speed, and strong practicability.

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Section: Introductionmentioning

confidence: 99%

Research and development of image homology identification technology based on fine registration

zhiqing,

James A. Esquivel

2024

International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024)

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Application of artificial intelligence in the mapping and measurement of soil pollution

Aniagor

Ejimofor

Oba

et al. 2022

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering

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RETRACTED: Design of the online platform of intelligent library based on machine learning and image recognition

2021

Microprocessors and Microsystems

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WITHDRAWN: Evaluation model of soil heavy metal pollution index based on machine learning and particle image recognition

Cited by 4 publications

References 7 publications

Research and development of image homology identification technology based on fine registration

Research and development of image homology identification technology based on fine registration

Application of artificial intelligence in the mapping and measurement of soil pollution

RETRACTED: Design of the online platform of intelligent library based on machine learning and image recognition

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