AIMC Topic: Engineering

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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 ...
Artificial Intelligence Algorithms Engineering Machine Learning
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BiasWatchIndia.

Trends in genetics : TIG Jan 4, 2021
Technology Female Humans Artificial Intelligence Neurosciences Engineering Gender Role Male India
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Artificial intelligence in radiology: relevance of collaborative work between radiologists and engineers for building a multidisciplinary team.

Clinical radiology Dec 23, 2020
The use of artificial intelligence (AI) algorithms in the field of radiology is becoming more common. Several studies have demonstrated the potential utility of machine learning (ML) and deep learning (DL) techniques as aids for radiologists to solve...
Humans Artificial Intelligence Radiology Interdisciplinary Research Interprofessional Relations Equipment Design Engineering Radiologists
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Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison.

PloS one Dec 10, 2020
Modern automation systems largely rely on closed loop control, wherein a controller interacts with a controlled process via actions, based on observations. These systems are increasingly complex, yet most deployed controllers are linear Proportional-...
Neural Networks, Computer Models, Theoretical Computer Simulation Engineering
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Advances in Recent Nature-Inspired Algorithms for Neural Engineering.

Computational intelligence and neuroscience Oct 28, 2020
Neural Networks, Computer Algorithms Engineering
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Third-order nanocircuit elements for neuromorphic engineering.

Nature Sep 23, 2020
Current hardware approaches to biomimetic or neuromorphic artificial intelligence rely on elaborate transistor circuits to simulate biological functions. However, these can instead be more faithfully emulated by higher-order circuit elements that nat...
Engineering Logic Electrophysiology Computer Simulation Models, Neurological Electrodes Artificial Intelligence Biomimetics Action Potentials
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Machine learning at the interface of structural health monitoring and non-destructive evaluation.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Sep 14, 2020
While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objective of damage detection and identification in structures, they are distinct in many respects. This paper will discuss the differences and commonalities...
Ultrasonics Data Compression Bayes Theorem Signal Processing, Computer-Assisted Engineering Manufacturing and Industrial Facilities Machine Learning Algorithms Regression Analysis Robotics Humans
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A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns.

Molecules (Basel, Switzerland) Jul 31, 2020
In this study, a novel hybrid surrogate machine learning model based on a feedforward neural network (FNN) and one step secant algorithm (OSS) was developed to predict the load-bearing capacity of concrete-filled steel tube columns (CFST), whereas th...
Machine Learning Databases, Factual Construction Materials Construction Industry Models, Theoretical Neural Networks, Computer Weight-Bearing Steel Engineering
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The use of surrounding rock loosening circle theory combined with elastic-plastic mechanics calculation method and depth learning in roadway support.

PloS one Jul 15, 2020
The objective is to study the design method of roadway support and provide technical support for coal mining and other mining methods that need deep roadway excavation. Through literature review, the occurrence, development mechanism and influencing ...
Mechanical Phenomena Landslides Deep Learning Elasticity Coal Mining Decision Support Techniques Engineering Geological Phenomena Pliability
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The deformation monitoring of foundation pit by back propagation neural network and genetic algorithm and its application in geotechnical engineering.

PloS one Jul 1, 2020
The objective is to improve the prediction accuracy of foundation pit deformation in geotechnical engineering, thereby provide early warning for engineering practice. The digital close-range photogrammetry is used to obtain monitoring data. The error...
Geology Neural Networks, Computer Engineering Genetics
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