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"A digital shadow approach for enhancing process monitoring in wire arc" by Haochen Mu, Fengyang He et al.

With the development of Industry 4.0 and smart manufacturing, improving production automation, intelligence, and digitalization has become a research trend in the Wire Arc Additive Manufacturing (WAAM) field. This study introduces a digital shadow that aims to improve the adaptiveness and dimensionality of monitoring systems in WAAM. Three sensors are used in the digital shadow: a welding electric signal sensor, a camera, and a laser profilometer to collect welding current and voltage data, imag...
Wire Arc Additive Manufacturing Multi Layer Perceptron Variational Autoencoder Defect Detection Digital Shadow Image Processing
Source: uow.edu.au

High-Solar Activity Ionospheric Modeling Leveraging Machine Learning - Inside GNSS - Global Navigation Satellite Systems Engineering, Policy, and Design

A comparison against classic models. SHISHIR PRIYADARSHI, WAHYUDIN P. SYAM, ANDRÉS ABELARDO GARCÍA ROQUÉ, ALEJANDRO PÉREZ CONESA, GMV GUILLAUME BUSCARLET, RAÜL ORÚS PÉREZ, MICKAEL DALL’ ORSO, EUROPEAN SPACE AGENCY (ESA) Sun is the source of energy needed to ionize the Earth’s atmosphere, which is an
South Korea Czech Republic Comunidad Autonoma De Cataluna Saint Exupery City Of United Kingdom

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Autonomous Surveillance of Infants' Needs Using CNN Model for Audio Cry Classification

Infants portray suggestive unique cries while sick, having belly pain, discomfort, tiredness, attention and desire for a change of diapers among other needs. There exists limited knowledge in accessing the infants’ needs as they only relay information through suggestive cries. Many teenagers tend to give birth at an early age, thereby exposing them to be the key monitors of their own babies. They tend not to have sufficient skills in monitoring the infant’s dire needs, more so during the ear...
Google Gpus Convolution Neural Networks Summary Of Research Gaps Convolutional Neural Network Model Training Reservoir Network Convolution Neural Network Deep Learning Model
Source: scirp.org

"Predicting Credit Ratings using Deep Learning Models – An Analysis of " by Shweta Pol, Manoj hudnurkar et al.

Due to the complexity of transactions and the availability of Big Data, many banks and financial institutions are reviewing their business models. Various tasks get involved in determining the credit worthiness like working with spreadsheets, manually gathering data from customers and corporations, etc. In this research paper, we aim to automate and analyze the credit ratings of the Information and technology industry in India. Various Deep-Learning models are incorporated to predict the credit ...
Artificial Neural Networks Big Data Various Deep Learning Share Capital Intangible Assets Operating Margin
Source: uow.edu.au

Fujitsu and Hokkaido University develop 'explainable AI' technology

Feb 8, 2021 Fujitsu Laboratories and Hokkaido University have announced the development of a new technology based on the principle of “explainable AI” that automatically presents users with steps needed to achieve a desired outcome based on AI results about data, for example, from medical checkups. “Explainable AI” represents an area of increasing interest in the field of artificial intelligence and machine learning. While AI technologies can automatically make decisions from data, “e...
School Of Information Science Arimura Laboratory Hokkaido University Fujitsu Laboratories Graduate School Information Science

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