Artificial Neural Network and Its Application in Image Recognition

Wang, Qianqian; Wang, Lujie

doi:10.9734/jerr/2023/v24i2802

Cited by 4 publications

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lower-resolution files will have a knock-on impact on file size and the performance of downloadable apps and web viewers. Whilst there is ever-increasing internet bandwidth and higher speed connections, even via mobile roaming, there is still a need to present captured data in a format that is clear and well documented with metadata for the end-user [33][34][35]. Increasingly sophisticated methods for displaying 3D content on mobile and web-based viewers are being developed, in part due to developments in game engines and WebGL technology in tandem with GPU hardware.…”

Section: Culturementioning

confidence: 99%

Applied Digital Documentation with Parametric 3D Modeling and Internet of Trees Functionality for Smart Forests and Monument Landscapes

Varveris

2023

JERR

View full text Add to dashboard Cite

The Problem: The classic traditional digital documentation (i.e. study, design, development, and maintenance of forests, parks, and monument landscapes) shows significant problems of functionality, adaptability, sustainability, velocity, and viability. Target & Research Objectives: In the framework of forests, parks, and monument landscapes, the massive volumes of Big Data (greater variety, arriving in increasing volumes, and with more velocity) can be used to address documentation problems that wouldn’t have been able to tackle before. Smart forest, as an Internet- enabled “product”, requires Big Data because it operates in real-time and requires real-time evaluation and action. Also, the recent research and practice advances in Blockchain data structures and Distributed Ledger Technologies (DLT) support generic structures with many services (e.g. parametric functionality). Hence, a DLT smart digital documentation can address the documentation problems. The research objectives, for digital documentation with blockchain functionality (DLT smart documentation), are defined by grouping in user-friendly palettes generic 3D CAD modeling tools which could be parameterized (e.g. trees modeling) in order to support adaptability; and by designing a new flexible and customized GUI (Graphical User Interface). Methods: The proposed methodology is based on parameterized 3D modeling of trees usually found in forests and urban parks (width and height parameters). Also, a personalized GUI operates as an interface between the end-user and the parameterized CAD (GUI palettes with many 3D modeling tools). Hence, in this paper, a parameterized 3D design is examined, analyzed, and presented in the context of digital documentation with internet of trees functionality for smart forests, urban parks, monument landscapes, and cultural heritage. Results: From the research conducted the results are: (i) a personalized, innovative, and flexible graphical interface (GUI) that could be incorporated in any commercial CAD environment; (ii) many parameterized 3D design tools specialized in the development of forms, plans, and modules (e.g., parametric tree 3D models) of objects and entities found in forests, urban parks, and monument landscapes; and (iii) the introduced internet of trees operativity (software routine), ideal for smart forests, smart monument landscapes, and landscape architecture digital documentation applications with blockchain functionality. Application: Possibility to support foresters, engineers, and landscape architects in development studies and documentation of peri-urban forests, recreational parks, pocket parks, monument landscapes, and cultural heritage projects. Increased integration functionality in blockchain knowledge databases.

show abstract

Section: Culturementioning

confidence: 99%

Applied Digital Documentation with Parametric 3D Modeling and Internet of Trees Functionality for Smart Forests and Monument Landscapes

Varveris

2023

JERR

View full text Add to dashboard Cite

show abstract

“…After several decades of development, neural networks have been successfully applied in many fields such as artificial intelligence [20,21], pattern recognition [22][23][24], signal processing [25,26], optimization [27][28][29], prediction [30,31], etc. Prediction is one of the main functions of neural networks.…”

Section: Development Of Artificial Neural Networkmentioning

confidence: 99%

Application of Artificial Neural Networks in Polymer Composites: A Review

Niu,

Zhang

2023

AJRCoS

View full text Add to dashboard Cite

Artificial neural networks (ANN), which have been a hot topic in the field of artificial intelligence (AI) since the 1980s, are widely applied these years for their strong ability in the field of nonlinear mapping, pattern recognition, robots, automatic control, biology, economy and so on. This review presents and summarizes the history of artificial neural networks, briefly introducing the application of artificial neural networks. After that, the paper focuses on an overview of research advances in neural networks for polymer composites and introduces several classical categories of applications. Finally, we look ahead to the development of neural network applications in polymer composites and provide a future outlook for the application of artificial neural network in polymer composites.

show abstract