Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

Baduge, Shanaka Kristombu; Thilakarathna, Sadeep; Perera, Jilska M.; Arashpour, Mehrdad; Sharafi, Pezhman; Teodosio, Bertrand; Shringi, Amkit; Mendis, Priyan

doi:10.1016/j.autcon.2022.104440

Cited by 356 publications

(167 citation statements)

References 196 publications

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“…The elements of brand management such as how to establish a corporate brand management control system, scientifically manage each brand asset, optimize brand portfolio strategies, and innovate on mature brands are discussed, deepening the cohesion and understanding of deeper brand consciousness and enriching the essence of branding. Research [17,18] in the article "Brand Management" based on the actual situation of enterprise development, from the enterprise practice to draw nutrients, came to the important conclusion that the development of enterprises cannot be separated from brand management. From the perspective of enterprise brand management, the brand cultivation, brand management, and brand management of enterprises are introduced in detail.…”

Section: Introductionmentioning

confidence: 99%

Construction and Development of Modern Brand Marketing Management Mode Based on Artificial Intelligence

Cui

Nie

et al. 2022

Journal of Sensors

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The continuous development of the times and the application of artificial intelligence technology are more mature and common; as a new concept and way of thinking artificial intelligence technology plays an important role in brand marketing, brand marketing artificial intelligence era has truly arrived. Based on such a background, it is necessary to explore the value of artificial intelligence in brand marketing management and specific implementation strategies. With the help of artificial intelligence technology, we can realize the accurate capture of consumer demand, the accurate portrayal of consumer groups, and the high quality of brand marketing. The essence of strategic brand management is a brand management system based on brand value. With the help of the brand management system, all the company’s contents are integrated and used to guide all the company’s business actions. At the same time, the company’s brand plan and framework are properly adjusted to constantly improve the brand’s own value and promote the sustainable development of the brand and the company. In this paper, we briefly explain and analyze several brand marketing management modes and management countermeasures commonly used by modern enterprises and discuss the problems and optimization countermeasures in modern enterprise brand marketing management, hoping to enlighten the enhancement of enterprise brand marketing promotion effect and promote the sustainable development of enterprises.

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Section: Introductionmentioning

confidence: 99%

Construction and Development of Modern Brand Marketing Management Mode Based on Artificial Intelligence

Cui

Nie

et al. 2022

Journal of Sensors

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“…Classification and anomaly detection are some tools deployed to mitigate the cost of energy consumption and data deduplication on systems [66,67]. For a brief survey on anomaly detection systems, the reader may refer to the work by [67].…”

Section: Advances In Wsnsmentioning

confidence: 99%

“…For a brief survey on anomaly detection systems, the reader may refer to the work by [67]. The authors discuss advances and implementations of ML and AI in smart buildings with strategies in smart vision, architectural design and visualization, progress monitoring and safety, and data storage [66]. ML tools used and implemented in these applications include, but are not limited to, support vector machines (SVM), neural networks (NNs), regression models, deep convolutional neural networks (Deep CNN), Markov chains, and particle swarm optimization (PSO) [66].…”

Section: Advances In Wsnsmentioning

confidence: 99%

WSN Architectures for Environmental Monitoring Applications

et al. 2022

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Wireless sensor networks (WSNs) have become ubiquitous, permeating every aspect of human life. In environmental monitoring applications (EMAs), WSNs are essential and provide a holistic view of the deployed environment. Physical sensor devices and actuators are connected across a network in environmental monitoring applications to sense vital environmental factors. EMAs bring together the intelligence and autonomy of autonomous systems to make intelligent decisions and communicate them using communication technologies. This paper discusses the various architectures developed for WSNs in environmental monitoring applications and the support for specific design goals, including machine learning in WSNs and its potential in environmental monitoring applications.

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“…In addition, this industry tends to adapt slowly to new technologies and has conditions where it is difficult for innovation to take place [10,11]. This is a unique characteristic of the construction industry, and the challenge of innovation is applying the technology used in other industries to the construction industry [12,13]. Meanwhile, 4IR is able to create an opportunity for the construction industry to bring a much higher efficiency than ever before in terms of productivity, the business model, and the value chain.…”

Section: Introduction 1fourth Industrial Revolution and Construction ...mentioning

confidence: 99%

“…Meanwhile, 4IR is able to create an opportunity for the construction industry to bring a much higher efficiency than ever before in terms of productivity, the business model, and the value chain. This opportunity is possible, via a convergence between existing technologies and emerging technologies from 4IR, and this change is called Construction 4.0 [13][14][15]. In the 4IR trend, Construction 4.0 represents a change in the construction industry, ranging from automated construction in the construction phase to high-level digitization by connecting virtual space and real construction projects [14,15].…”

Section: Introduction 1fourth Industrial Revolution and Construction ...mentioning

confidence: 99%

A Study on the Competitiveness for the Diffusion of Smart Technology of Construction Industry in the Era of 4th Industrial Revolution

Lee

Park

2022

Sustainability

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The fourth industrial revolution (4IR) is bringing about enormous changes in various aspects of the construction industry. This influence is emerging as a smart technology and is regarded as a productivity innovation in the construction industry. In addition, several countries are attempting policies to diffuse technological innovation into various industries, such as those related to legal systems, investments, and additional markets. These policies commonly have the intention to encourage various industrial factors that are related to smart-construction competitiveness. Therefore, this study analyzed the competitiveness from an industrial perspective to revitalize smart technologies in the construction industry. For this purpose, the acceptance of innovation within the Korean construction industry (KCI) was reviewed through diffusion-innovation theory, and then competitiveness factors were driven by the literature, based on Porter’s diamond model. Factors are measured by the contractors who utilize smart technologies, analyzing the competitiveness priority and differences between them. The main finding is that the “Demand Condition” is the most important industrial competitiveness for embedding smart technology in the early stage of construction industry. Moreover, to reduce the risks related to developing technologies, it suggested that distinct policies are required in accordance with the contractors. These findings are going to be helpful for policy makers as references for developing policies to embed smart technology in the construction industry.

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Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

Cited by 356 publications

References 196 publications

Construction and Development of Modern Brand Marketing Management Mode Based on Artificial Intelligence

Construction and Development of Modern Brand Marketing Management Mode Based on Artificial Intelligence

WSN Architectures for Environmental Monitoring Applications

A Study on the Competitiveness for the Diffusion of Smart Technology of Construction Industry in the Era of 4th Industrial Revolution

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