AIMC Topic: Engineering

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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...
Artificial Intelligence Radiology Humans Interprofessional Relations Engineering Interdisciplinary Research Equipment Design 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-...
Models, Theoretical Engineering Neural Networks, Computer Computer Simulation
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Advances in Recent Nature-Inspired Algorithms for Neural Engineering.

Computational intelligence and neuroscience Oct 28, 2020
Neural Networks, Computer Engineering Algorithms
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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...
Action Potentials Electrodes Computer Simulation Models, Neurological Electrophysiology Engineering Biomimetics Logic Artificial Intelligence
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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...
Humans Bayes Theorem Signal Processing, Computer-Assisted Data Compression Engineering Ultrasonics Manufacturing and Industrial Facilities Regression Analysis Robotics Machine Learning Algorithms
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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...
Weight-Bearing Engineering Steel Construction Materials Construction Industry Databases, Factual Models, Theoretical Neural Networks, Computer Machine Learning
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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 Decision Support Techniques Coal Mining Engineering Landslides Deep Learning Geological Phenomena Pliability Elasticity
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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...
Neural Networks, Computer Engineering Genetics Geology
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Combining Grey Relationship Analysis and Neural Network to Develop Attractive Automobile Booth Design.

Computational intelligence and neuroscience Jun 20, 2020
Miryoku engineering is a design concept based on customer preferences, with the goal of creating attractive products or spaces. However, traditional Miryoku engineering faces two main issues: (1) the upper Kansei factor ranks the weights by the numbe...
Interior Design and Furnishings Automobiles Engineering Neural Networks, Computer Artificial Intelligence Humans
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Of robots and humans: Creating user representations in practice.

Social studies of science Feb 10, 2020
In this study, we explore the constitution of user representations of robots in design practice. Using the results of ethnographic research in two robot laboratories, we show how user representations emerge in and are entangled with design activities...
Laboratories Engineering Artificial Intelligence Anthropology, Cultural Robotics Humans
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