Research on Artificial Intelligence Algorithm System for Medical Institutions Based on Construction Engineering and E-commerce

Pengfei Zhao; Zhongman Luo; Guibing Yang; Weibiao Cai; Liangyu Li; Yi Qin

doi:10.54097/kfgjw731

Authors

Pengfei Zhao
Zhongman Luo
Guibing Yang
Weibiao Cai
Liangyu Li
Yi Qin

DOI:

https://doi.org/10.54097/kfgjw731

Keywords:

Clinical Science, Architectural Science, Artificial Intelligence, Neural Networks, Internet of Things, Digital Twins.

Abstract

The architectural design of artificial intelligence and clinical institutions mainly uses digital twin technology and neural network technology. We have discussed Convolutional neural network and deep neural network, and put forward cutting-edge modeling exploration for the management system of building engineering in combination with Internet of Things technology. At the same time, we have integrated knowledge in the field of microbial medicine in architecture, and carried out detailed design for building engineering in this field, And various cutting-edge strategies have been proposed in architectural design using artificial intelligence technology, and research has been conducted to analyze and report on this situation.The preliminary CNN neural network regression analysis has achieved the function of predicting microorganisms, and we have published the algorithm and code.

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References

Martínez-Plumed Fernando, Gómez Emilia & Hernández-Orallo José.(2021).Futures of artificial intelligence through technology readiness levels. Telematics and Informatics. doi:10.1016/j.tele.2020.101525.

Ashena Rahman, Rabiei Minou, Rasouli Vamegh, Mohammadi Amir H. & Mishani Siamak.(2021).Drilling Parameters Optimization Using an Innovative Artificial Intelligence Model. J. Energy Resour. Technol (5). doi:10.1115/1.4050050.

Wang Jane X. (2021).Meta-learning in natural and artificial intelligence. Current Opinion in Behavioral Sciences. doi:10.1016/J.COBEHA.2021.01.002.

Wiangkham Attasit, Ariyarit Atthaphon & Aengchuan Prasert. (2021).Prediction of the mixed mode I/II fracture toughness of PMMA by an artificial intelligence approach. Theoretical and Applied Fracture Mechanics (prepublish). doi:10.1016/J.TAFMEC.2021.102910.

Coombs Crispin, Stacey Patrick, Kawalek Peter, Simeonova Boyka, Becker Joerg, Bergener Katrin... & Trautmann Heike. (2021).What is it about humanity that we can’t give away to intelligent machines? A European perspective. International Journal of Information Management. doi:10.1016/J.IJINFOMGT.2021.102311.

Mikalef Patrick & Gupta Manjul. (2021).Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management (3). doi:10.1016/J.IM.2021.103434.