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The Smart in Smart Cities: A Framework for Image Classification Using Deep Learning.

Sensors (Basel, Switzerland)
The need for a smart city is more pressing today due to the recent pandemic, lockouts, climate changes, population growth, and limitations on availability/access to natural resources. However, these challenges can be better faced with the utilization...

The Use of Big Data Combined with Artificial Intelligence Neural Network Technology in Urban Spatial Evaluation System.

Computational intelligence and neuroscience
This exploration aims to promote the development of urbanization in China and improve the utilization rate of urban resources. First, intensive theory and spatial economics are studied. Next, an input-output urban spatial evaluation system is establi...

A Study on Mobile Resources for Language Education of Preschool Children Based on Wireless Network Technology in Artificial Intelligence Context.

Computational and mathematical methods in medicine
Preschool language education is a requirement of basic education reform as well as a requirement for children's growth in all aspects of body and mind. It is extremely important and valuable in encouraging the entire growth of preschool education as ...

Insights into the relationship between usability and willingness to use a robot in the future workplaces: Studying the mediating role of trust and the moderating roles of age and STARA.

PloS one
BACKGROUND AND AIM: Human-robot collaboration is the key component of the fourth industrial revolution concept. Workers' willingness to collaborate with industrial robots is a basic requirement for an efficient and effective interaction. The roles of...

The Hemodynamic Parameters Values Prediction on the Non-Invasive Hydrocuff Technology Basis with a Neural Network Applying.

Sensors (Basel, Switzerland)
The task to develop a mechanism for predicting the hemodynamic parameters values based on non-invasive hydrocuff technology of a pulse wave signal fixation is described in this study. The advantages and disadvantages of existing methods of recording ...

Neural Network Technology-Based Optimization Framework of Financial and Management Accounting Model.

Computational intelligence and neuroscience
Traditional financial accounting has gradually evolved into management accounting in order to adapt to changing times and developments. To avoid being obliterated by the times, accountants must gradually improve their professional and comprehensive a...

Study on the Design and Optimization of Learning Environment Based on Artificial Intelligence and Virtual Reality Technology.

Computational intelligence and neuroscience
More than half of the universities have recently added advanced technical courses for their students. The specialised courses would be the backbone to keep the students' knowledge updated. In that case, artificial intelligence (AI) and virtual realit...

Diagnostic accuracy of fluorescence flow-cytometry technology using Sysmex XN-31 for imported malaria in a non-endemic setting.

Parasite (Paris, France)
Malaria diagnosis based on microscopy is impaired by the gradual disappearance of experienced microscopists in non-endemic areas. Aside from the conventional diagnostic methods, fluorescence flow cytometry technology using Sysmex XN-31, an automated ...

B5GEMINI: AI-Driven Network Digital Twin.

Sensors (Basel, Switzerland)
Network Digital Twin (NDT) is a new technology that builds on the concept of Digital Twins (DT) to create a virtual representation of the physical objects of a telecommunications network. NDT bridges physical and virtual spaces to enable coordination...

Multimodal English Teaching Classroom Interaction Based on Artificial Neural Network.

Computational intelligence and neuroscience
In recent years, with the rapid development of science and technology, traditional teaching methods and concepts have been frequently impacted. Artificial neural network shows excellent intelligence because of its powerful nonlinear processing abilit...