AIMC Topic: Engineering

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Feedforward backpropagation artificial neural networks for predicting mechanical responses in complex nonlinear structures: A study on a long bone.

Journal of the mechanical behavior of biomedical materials Jan 11, 2022
Feedforward backpropagation artificial neural networks (ANNs) have been increasingly employed in many engineering practices concerning materials modeling. Despite their extensive applications, how to achieve successfully trained ANNs is not thoroughl...
Algorithms Engineering Neural Networks, Computer
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Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry.

Sensors (Basel, Switzerland) Dec 30, 2021
As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing interest in the fields of architecture, engineering and construction (AEC), with outstanding advantages, such as highly automated, non-contact operation and effi...
Lasers Industry Artificial Intelligence Light Engineering
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Artificial intelligence-based network traffic analysis and automatic optimization technology.

Mathematical biosciences and engineering : MBE Dec 16, 2021
Network operation and maintenance (O & M) activities of data centers focus mainly on checking the operating states of devices. O & M engineers determine how services are running and the bearing capacity of a data center by checking the operating stat...
Artificial Intelligence Technology Engineering
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Cognitive Matching of Design Subjects in Product Form Evolutionary Design.

Computational intelligence and neuroscience Sep 30, 2021
In actual product development, the cognitive differences between users and designers make it difficult for the designed products to be recognized by users. To reduce the cognitive differences between these two design subjects, this paper proposes a m...
Engineering Humans Neural Networks, Computer Cognition
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A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction.

Science robotics Sep 8, 2021
The application of anthropomorphic design features is widely assumed to facilitate human-robot interaction (HRI). However, a considerable number of study results point in the opposite direction. There is currently no comprehensive common ground on th...
User-Computer Interface Robotics Animals Male Electrophysiology Normal Distribution Equipment Design Motion Software Algorithms Female Biomechanical Phenomena Neural Networks, Computer Empathy Man-Machine Systems Social Interaction Engineering
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A Method for Real-Time Fault Detection of Liquid Rocket Engine Based on Adaptive Genetic Algorithm Optimizing Back Propagation Neural Network.

Sensors (Basel, Switzerland) Jul 24, 2021
A real-time fault diagnosis method utilizing an adaptive genetic algorithm to optimize a back propagation (BP) neural network is intended to achieve real-time fault detection of a liquid rocket engine (LRE). In this paper, the authors employ an adapt...
Engineering Reproduction Neural Networks, Computer Algorithms
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A Deep Learning Prediction Model for Structural Deformation Based on Temporal Convolutional Networks.

Computational intelligence and neuroscience Apr 20, 2021
The structural engineering is subject to various subjective and objective factors, the deformation is usually inevitable, the deformation monitoring data usually are nonstationary and nonlinear, and the deformation prediction is a difficult problem i...
Neural Networks, Computer Forecasting Deep Learning Engineering
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PID++: A Computationally Lightweight Humanoid Motion Control Algorithm.

Sensors (Basel, Switzerland) Jan 11, 2021
Currently robotic motion control algorithms are tedious at best to implement, are lacking in automatic situational adaptability, and tend to be static in nature. Humanoid (human-like) control is little more than a dream, for all, but the fastest comp...
Engineering Humans Algorithms Robotics Computer Simulation Motion
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Artificial intelligence and machine learning in design of mechanical materials.

Materials horizons Jan 7, 2021
Artificial intelligence, especially machine learning (ML) and deep learning (DL) algorithms, is becoming an important tool in the fields of materials and mechanical engineering, attributed to its power to predict materials properties, design de novo ...
Engineering Machine Learning Algorithms Artificial Intelligence
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BiasWatchIndia.

Trends in genetics : TIG Jan 4, 2021
Humans Engineering India Gender Role Artificial Intelligence Neurosciences Technology Female Male
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