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RETRACTED ARTICLE: Evaluation of solar energy potential based on target detection and design of English vocabulary teaching platform

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Arabian Journal of Geosciences Aims and scope Submit manuscript

This article was retracted on 04 November 2021

An Editorial Expression of Concern to this article was published on 28 September 2021

This article has been updated

Abstract

Target detection is now a hot research direction in the field of computer vision, where we can find applications for national defense, security, and medical security. Currently, there are many target detection algorithms, such as Fast R-CNN, Faster R-CNN, YOLOv3, and SSD. Among them, the YOLOv3 algorithm treats target detection as a regression problem and recognizes the entire image, which effectively improves the detection speed. The backbone network uses a residual structure to significantly increase network depth and balance accuracy. Currently, the international community has agreed to use new energy technologies to solve energy and environmental problems. At the same time, the energy consumption of urban buildings is one of the main reasons for energy consumption. The solar energy on the roof of the building has no pollution and noise and is easy to collect. Now, it has become one of the new energy technologies that are very suitable for applications in people’s residential areas. The combination of advanced educational theories and modern information technology is the direction of the development of English vocabulary education. It combines POA and modern technology and integrates advanced concepts such as output drive and input to promote learning and other advanced concepts into English vocabulary teaching. It plays a role in promoting. At the same time, it can also find problems in learning English vocabulary and develop related software theory and technology. According to the specific needs of learners, combined with the development of modern technology, it involves an English vocabulary learning software, which is based on the Android mobile teaching platform and innovates a variety of memory methods to help learners.

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Authors and Affiliations

  1. Foreign Language School, Changsha University of Science and Technology, Changsha, 410114, China

    Yan Jin

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  1. Yan Jin
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Correspondence to Yan Jin.

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The author declares no competing interests.

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Responsible Editor: Sheldon Williamson

This article is part of the Topical Collection on Environment and Low Carbon Transportation

This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12517-021-08703-x"

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Jin, Y. RETRACTED ARTICLE: Evaluation of solar energy potential based on target detection and design of English vocabulary teaching platform. Arab J Geosci 14, 1494 (2021). https://doi.org/10.1007/s12517-021-07726-8

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  • DOI: https://doi.org/10.1007/s12517-021-07726-8

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