Landscape design of coastal area based on virtual reality technology and intelligent algorithm

Han, Wei

doi:10.3233/jifs-179177

Cited by 31 publications

(20 citation statements)

References 7 publications

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“…While consuming public resources, it reduces the trust between people, aggravates social conflicts, and affects the construction of social spiritual civilization. By effectively improving the media literacy of citizens and accelerating the formation of a correct cognitive framework, we can reconstruct the social trust system and build a benign information ecological environment [27][28][29].…”

Section: Discussionmentioning

confidence: 99%

Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication

Cheng

2022

Computational Intelligence and Neuroscience

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“Information alienation” is a concept formed by combining the idea of “alienation” in philosophy with the characteristics of information itself. Information is a universal property of matter and an objectively existing form of material movement. The purpose of this paper is to study and analyze the alienation technology control of push information based on intelligent algorithms and describe the information alienation. This paper puts forward the problem of pushing information, which is based on intelligent algorithm, then elaborates around the concept of intelligent algorithm and related algorithms, and designs and analyzes the control of media information alienation. The experimental results show that, in the questionnaire survey, 72.34% of the people who very frequently swipe unfriendly information account for a very large proportion. People will always swipe it in various software applications, which is unavoidable. How to control the problem of information alienation needs to be controlled from the user level, the design media level, and the government level.

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Section: Discussionmentioning

confidence: 99%

Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication

Cheng

2022

Computational Intelligence and Neuroscience

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“…Wang proposed a 3D reconstruction technique of regional buildings based on radar data and aerial images [18]. e method firstly creates a grayscale elevation map based on radar data, then extracts building edges from it, extracts building height data from radar data, extracts texture from aerial photo images, and finally generates a 3D model.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Public Art and Space Environment Design Using Genetic Algorithm‐Guided 3D Virtual Reconstruction

Luo

2022

Journal of Environmental and Public Health

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Public art plays a crucial role in influencing the development of the urban space environment by embodying the spiritual outlook and cultural heritage of a city. The research status and development trend of contemporary public art and space environment design are introduced in this article. In this essay, the relationship between public art and the environment of public spaces is examined in terms of type, status quo, and impact. The requirements of the virtual process are then thoroughly examined through the practical application of various collaborative software based on the actual needs of 3D virtual reconstruction. In parallel, a genetic algorithm-based optimization design scheme for the space environment is proposed. Numerous experiments are conducted to confirm the viability of this method. The efficiency of this algorithm, according to experiments, is very high, reaching 94.87 percent. The scores of the residents are also good as a result of this article’s design. This demonstrates the validity of this approach. The study of public art and urban space environment design is expected to contribute positively to the growth of the city.

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“…With the rapid development of artificial intelligence technology represented by deep neural networks, it is possible to achieve automatic and accurate segmentation of MS lesions based on MRI [ 2 ]. The realization of automatic and fast accurate MS lesion segmentation can not only reduce the burden of manual segmentation of MS lesions by experts, save the time and energy of experts in analyzing patients' conditions, and reduce the incorrect diagnosis due to subjective factors of experts, but also, because MS lesions show diffuse and multiplicity in imaging, it is difficult for inexperienced doctors to identify them accurately, and the realization of automatic and accurate MS lesion identification can to a certain extent, the automatic and accurate identification of MS lesions can assist in the diagnosis of MS by inexperienced physicians, which is conducive to the promotion and use in medically underdeveloped areas [ 3 ]. Therefore, studying the automatic segmentation model of MS lesions and improving the segmentation accuracy and generalization performance of the MS lesion segmentation model can help physicians quickly and accurately diagnose patients' conditions and promote effective treatment and etiological discovery of MS. To track the disease progression in the brain, multimodal neuroimaging techniques are mainly used in clinical practice.…”

Section: Introductionmentioning

confidence: 99%

Design of an Incremental Music Teaching and Assisted Therapy System Based on Artificial Intelligence Attention Mechanism

Liu

2022

Occupational Therapy International

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With the continuous updating and advancement of artificial intelligence technology, it gradually begins to shine in various industries, especially playing an increasingly important role in incremental music teaching and assisted therapy systems. This study designs artificial intelligence models from the perspectives of attention mechanism, contextual information guidance, and distant dependencies combined with incremental music teaching for the segmentation of MS (multiple sclerosis) lesions and achieves the automatic and accurate segmentation of MS lesions through the multidimensional analysis of multimodal magnetic resonance imaging data, which provides a basis for physicians to quantitatively analyze MS lesions, thus assisting them in the diagnosis and treatment of MS. To address the highly variable characteristics of MS lesion location, size, number, and shape, this paper firstly designs a 3D context-guided module based on Kronecker convolution to integrate lesion information from different fields of view, starting from lesion contextual information capture. Then, a 3D spatial attention module is introduced to enhance the representation of lesion features in MRI images. The experiments in this paper confirm that the context-guided module, cross-dimensional cross-attention module, and multidimensional feature similarity module designed for the characteristics of MS lesions are effective, and the proposed attentional context U-Net and multidimensional cross-attention U-Net have greater advantages in the objective evaluation index of lesion segmentation, while being combined with the incremental music teaching approach to assist treatment, which provides a new idea for the intelligent assisted treatment approach. In this paper, from algorithm design to experimental validation, both in terms of accuracy, the operational difficulty of the experiment, consumption of arithmetic power, and time cost, the unique superiority of the artificial intelligence attention-based combined with incremental music teaching adjunctive therapy system proposed in this paper can be seen in the MS lesion segmentation task.

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Landscape design of coastal area based on virtual reality technology and intelligent algorithm

Cited by 31 publications

References 7 publications

Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication

Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication

[Retracted] Public Art and Space Environment Design Using Genetic Algorithm‐Guided 3D Virtual Reconstruction

Design of an Incremental Music Teaching and Assisted Therapy System Based on Artificial Intelligence Attention Mechanism

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