A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data
This work presents an in-situ quality assessment and improvement technique using point
cloud and AI for data processing and smart decision making in Additive Manufacturing (AM) …
cloud and AI for data processing and smart decision making in Additive Manufacturing (AM) …
Determination of the heat capacity of cellulosic biosamples employing diverse machine learning approaches
M Karimi, M Khosravi, R Fathollahi… - Energy Science & …, 2022 - Wiley Online Library
Heat capacity is among the most well‐known thermal properties of cellulosic biomass
samples. This study assembles a general machine learning model to estimate the heat …
samples. This study assembles a general machine learning model to estimate the heat …
A modeling approach for estimating hydrogen sulfide solubility in fifteen different imidazole-based ionic liquids
Absorption has always been an attractive process for removing hydrogen sulfide (H2S).
Posing unique properties and promising removal capacity, ionic liquids (ILs) are potential …
Posing unique properties and promising removal capacity, ionic liquids (ILs) are potential …
Experimental study on a novel simultaneous control and identification of a 3-dof delta robot using model reference adaptive control
Delta robot is one of the most widely used parallel robots in the robotics industry. Therefore,
it is vital to employ appropriate methods to control Delta robot in order to perform a specific …
it is vital to employ appropriate methods to control Delta robot in order to perform a specific …
Predicting the hydrogen uptake ability of a wide range of zeolites utilizing supervised machine learning methods
This study predicts the hydrogen uptake ability of 28 zeolites using artificial neural networks.
The topology-related features of four artificial neural networks and their hyper-parameters …
The topology-related features of four artificial neural networks and their hyper-parameters …
[HTML][HTML] An efficient and autonomous scheme for solving IoT service placement problem using the improved Archimedes optimization algorithm
Z Zhang, H Sun, H Abutuqayqah - … of King Saud University-Computer and …, 2023 - Elsevier
The ever-increasing growth of the number of Internet of Things (IoT) devices connected to
the network has led to the emergence of cloud computing shortcomings such as delay …
the network has led to the emergence of cloud computing shortcomings such as delay …
Emotional artificial neural networks and gaussian process-regression-based hybrid machine-learning model for prediction of security and privacy effects on M-banking …
With recent advances in mobile and internet technologies, the digital payment market is an
increasingly integral part of people's lives, offering many useful and interesting services, eg …
increasingly integral part of people's lives, offering many useful and interesting services, eg …
Multimodal Object Detection using Depth and Image Data for Manufacturing Parts
N Mahjourian, V Nguyen - arXiv preprint arXiv:2411.09062, 2024 - arxiv.org
Manufacturing requires reliable object detection methods for precise picking and handling of
diverse types of manufacturing parts and components. Traditional object detection methods …
diverse types of manufacturing parts and components. Traditional object detection methods …
Inertia-constrained reinforcement learning to enhance human motor control modeling
Locomotor impairment is a highly prevalent and significant source of disability and
significantly impacts the quality of life of a large portion of the population. Despite decades of …
significantly impacts the quality of life of a large portion of the population. Despite decades of …
Recognition of orbital angular momentum of vortex beams based on convolutional neural network and multi-objective classifier
Y Zhang, H Zhao, H Wu, Z Chen, J Pu - Photonics, 2023 - mdpi.com
Vortex beams carry orbital angular momentum (OAM), and their inherent infinite dimensional
eigenstates can enhance the ability for optical communication and information processing in …
eigenstates can enhance the ability for optical communication and information processing in …