AIMC Topic: Intelligence

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LightFD: Real-Time Fault Diagnosis with Edge Intelligence for Power Transformers.

Sensors (Basel, Switzerland)
Power fault monitoring based on acoustic waves has gained a great deal of attention in industry. Existing methods for fault diagnosis typically collect sound signals on site and transmit them to a back-end server for analysis, which may fail to provi...

Deep Learning Dual Neural Networks in the Construction of Learning Models for Online Courses in Piano Education.

Computational intelligence and neuroscience
The use of deep learning (DL) and artificial intelligence (AI) in teaching children piano lessons promotes modern piano instruction and enhances the overall quality of education. To begin, a more thorough explanation of the teaching environment and t...

Multifunctional Fiber-Enabled Intelligent Health Agents.

Advanced materials (Deerfield Beach, Fla.)
The application of wearable devices is promoting the development toward digitization and intelligence in the field of health. However, the current smart devices centered on human health have disadvantages such as weak perception, high interference de...

PSO Algorithm-Based Design of Intelligent Education Personalization System.

Computational intelligence and neuroscience
The application of artificial intelligence in the field of education is becoming more and more extensive and in-depth. The intelligent education system can not only solve the limitations of location, time, and resources in the traditional learning fi...

Construction and Model Realization of Financial Intelligence System Based on Multisource Information Feature Mining.

Computational intelligence and neuroscience
Multisource information mining systems and related business intelligence technology are currently a hot topic of research. However, the current commercial applications and applications are not ideal in terms of application. Because there is still muc...

Intelligent Analysis of Exercise Health Big Data Based on Deep Convolutional Neural Network.

Computational intelligence and neuroscience
In this paper, the algorithm of the deep convolutional neural network is used to conduct in-depth research and analysis of sports health big data, and an intelligent analysis system is designed for the practical process. A convolutional neural networ...

The signature-testing approach to mapping biological and artificial intelligences.

Trends in cognitive sciences
Making inferences from behaviour to cognition is problematic due to a many-to-one mapping problem, in which any one behaviour can be generated by multiple possible cognitive processes. Attempts to cross this inferential gap when comparing human intel...

An Optical Fiber Sensing Method for Measuring the Surface Flatness of an Object.

Computational intelligence and neuroscience
Sensing of data or object is a mature research domain where intelligent devices, may possibly be embedded with the artificial intelligence-based techniques, are placed in the closed vicinity of the object or phenomenon. This sensing activity becomes ...

Artificial Neural Network Model for Indoor Decoration Intelligence Calculation and Automation Design.

Computational intelligence and neuroscience
With the continuous development of science and technology, the indoor decoration industry has gradually changed toward mechanization, specialization, and intelligent direction. Based on the predecessor research, this study proposes an artificial neur...

Imaginaries of omniscience: Automating intelligence in the US Department of Defense.

Social studies of science
The current reanimation of artificial intelligence includes a resurgence of investment in automating military intelligence on the part of the US Department of Defense. A series of programs set forth a technopolitical imaginary of fully integrated, co...