AIMC Topic: Engineering

Clear Filters Showing 21 to 30 of 99 articles

Application of grey feed forward back propagation-neural network model based on wavelet denoising to predict the residual settlement of goafs.

PloS one May 4, 2023
To study the residual settlement of goaf's law and prediction model, we investigated the Mentougou mining area in Beijing as an example. Using MATLAB software, the wavelet threshold denoising method was used to optimize measured data, and the grey mo...
Neural Networks, Computer Forecasting Reproduction Wavelet Analysis Engineering
View on PubMed DOI

A direct discretization recurrent neurodynamics method for time-variant nonlinear optimization with redundant robot manipulators.

Neural networks : the official journal of the International Neural Network Society Apr 25, 2023
Discrete time-variant nonlinear optimization (DTVNO) problems are commonly encountered in various scientific researches and engineering application fields. Nowadays, many discrete-time recurrent neurodynamics (DTRN) methods have been proposed for sol...
Robotics Engineering
View on PubMed DOI

Biological Robots: Perspectives on an Emerging Interdisciplinary Field.

Soft robotics Apr 20, 2023
Advances in science and engineering often reveal the limitations of classical approaches initially used to understand, predict, and control phenomena. With progress, conceptual categories must often be re-evaluated to better track recently discovered...
Computers Robotics Regenerative Medicine Engineering Biological Science Disciplines
View on PubMed DOI

An Extended AI-Experience: Industry 5.0 in Creative Product Innovation.

Sensors (Basel, Switzerland) Mar 10, 2023
Creativity plays a significant role in competitive product ideation. With the increasing emergence of Virtual Reality (VR) and Artificial Intelligence (AI) technologies, the link between such technologies and product ideation is explored in this rese...
Humans Artificial Intelligence Intelligence Industry Engineering Creativity
View on PubMed DOI

Making use of noise in biological systems.

Progress in biophysics and molecular biology Jan 11, 2023
Disorder and noise are inherent in biological systems. They are required to provide systems with the advantages required for proper functioning. Noise is a part of the flexibility and plasticity of biological systems. It provides systems with increas...
Artificial Intelligence Engineering
View on PubMed DOI

The Prediction of Steel Bar Corrosion Based on BP Neural Networks or Multivariable Gray Models.

Computational intelligence and neuroscience Jan 5, 2023
The corrosion of steel bars in concrete has a significant impact on the durability of constructed structures. Based on the gray relational analysis (GRA) of the accelerated corrosion data and practical engineering data using MATLAB, a back propagatio...
Neural Networks, Computer Engineering Steel Corrosion
View on PubMed DOI

Deep Learning in Diverse Intelligent Sensor Based Systems.

Sensors (Basel, Switzerland) Dec 21, 2022
Deep learning has become a predominant method for solving data analysis problems in virtually all fields of science and engineering. The increasing complexity and the large volume of data collected by diverse sensor systems have spurred the developme...
Software Deep Learning Engineering
View on PubMed DOI

Sensor-Driven Human-Robot Synergy: A Systems Engineering Approach.

Sensors (Basel, Switzerland) Dec 20, 2022
Knowledge-based synergistic automation is a potential intermediate option between the opposite extremes of manual and fully automated robotic labor in agriculture. Disruptive information and communication technologies (ICT) and sophisticated solution...
Humans Farms Agriculture Robotics Knowledge Bases Engineering
View on PubMed DOI

Eleven quick tips for data cleaning and feature engineering.

PLoS computational biology Dec 15, 2022
Applying computational statistics or machine learning methods to data is a key component of many scientific studies, in any field, but alone might not be sufficient to generate robust and reliable outcomes and results. Before applying any discovery m...
Humans Machine Learning Computational Biology Engineering
View on PubMed DOI

Intelligent prediction of rockburst in tunnels based on back propagation neural network integrated beetle antennae search algorithm.

Environmental science and pollution research international Dec 11, 2022
Rockburst is one of the major engineering geological disasters of underground engineering. Accurate rockburst intensity level prediction is vital for disaster control during underground tunnel construction. In this work, a hybrid model integrating th...
Neural Networks, Computer Algorithms Disasters Engineering Compressive Strength
View on PubMed DOI
Popular Topics
Recent Journals