Research on the natural language recognition method based on cluster analysis using neural network

G Li, F Liu, A Sharma, OI Khalaf… - Mathematical …, 2021 - Wiley Online Library
Withthe technological advent, the clustering phenomenon is recently being used in various
domains and in natural language recognition. This article contributes to the clustering …

The impact of industry 4.0 concepts and technologies on different phases of construction project lifecycle: a literature review

J Menegon, LCP da Silva Filho - Iranian Journal of Science and …, 2023 - Springer
With the advent of the fourth Industrial Revolution, sensors, machines, tools, and intelligent
systems became connected and can interact with each other along the production chain …

[HTML][HTML] Management 4.0: Concept, applications and advancements

A Haleem, M Javaid, RP Singh, R Suman… - Sustainable Operations …, 2023 - Elsevier
Management 4.0 assists businesses in evolving, surviving and performing in the competitive
and dynamic world. This fourth revolution uses advanced technologies like Artificial …

An exhaustive research on the application of intrusion detection technology in computer network security in sensor networks

Y Wang, J Ma, A Sharma, PK Singh… - Journal of …, 2021 - Wiley Online Library
Intrusion detection is crucial in computer network security issues; therefore, this work is
aimed at maximizing network security protection and its improvement by proposing various …

Tourist hot spots prediction model based on optimized neural network algorithm

X Huang, V Jagota, E Espinoza-Muñoz… - International Journal of …, 2021 - Springer
With the increase in the tourism industry, the experience of the tourist is changed
dramatically. Mainly, there are two types of sustainability in the tourism industry. One is for …

Redefining the construction managerial landscape to facilitate Industry 4.0 implementation: Scientometric mapping of research frontiers

A Ghosh, J Abawajy, M Chowdhury - Construction Innovation, 2024 - emerald.com
Purpose This study aims to provide an excellent overview of current research trends in the
construction sector in digital advancements. It provides a roadmap to policymakers for the …

[HTML][HTML] Research on optimization of crane fault predictive control system based on data mining

X Yanbin, Z Jianhua, X Wang, M Shabaz… - Nonlinear …, 2023 - degruyter.com
To ensure the safe functioning of lifting equipment, a data mining-based optimization study
of a crane failure predictive control system is provided. To diagnose lifting machinery faults …

The application of convolutional neural network model in diagnosis and nursing of MR imaging in Alzheimer's disease

X Chen, L Li, A Sharma, G Dhiman, S Vimal - … Sciences: Computational Life …, 2021 - Springer
The disease Alzheimer is an irrepressible neurologicalbrain disorder. Earlier detection and
proper treatment of Alzheimer's disease can help for brain tissue damage prevention. The …

[HTML][HTML] The relationship between sustainable built environment, art therapy and therapeutic design in promoting health and well-being

Z Liu, Z Yang, M Osmani - … Journal of Environmental Research and Public …, 2021 - mdpi.com
At present, a smart city from the perspective of the United Nations Sustainable Development
Goals (SDGs) emphasizes the importance of providing citizens with promising health and …

[HTML][HTML] Research on speed sensor fusion of urban rail transit train speed ranging based on deep learning

X Zhan, ZH Mu, R Kumar, M Shabaz - Nonlinear Engineering, 2021 - degruyter.com
The speed sensor fusion of urban rail transit train speed ranging based on deep learning
builds a user-friendly structure but it in-turn increases the risk of traffic that significantly …