Machine learning-based technique for gain and resonance prediction of mid band 5G Yagi antenna
In this study, we present our findings from investigating the use of a machine learning (ML)
technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 …
technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 …
Machine learning-based technique for resonance and directivity prediction of UMTS LTE band quasi Yagi antenna
In this study, we have presented our findings on the deployment of a machine learning (ML)
technique to enhance the performance of LTE applications employing quasi-Yagi-Uda …
technique to enhance the performance of LTE applications employing quasi-Yagi-Uda …
A review of application of data science tools in crack identification and localization
N Teyi, S Singh - Procedia Structural Integrity, 2022 - Elsevier
A rotating shaft supported by bearings over which a disc is attached concentric to it, as a
single unit is called a rotor, which forms the basis of functions of many machine systems. A …
single unit is called a rotor, which forms the basis of functions of many machine systems. A …
An efficient approach for automatic crack detection using deep learning
Purpose Automation of detecting cracked surfaces on buildings or in any industrially
manufactured products is emerging nowadays. Detection of the cracked surface is a …
manufactured products is emerging nowadays. Detection of the cracked surface is a …
Soil Infiltration Rate Impact on Water Quality Modeled Using Random Forest Regression
A Sopandi - Journal of Applied Data Sciences, 2021 - bright-journal.org
In this paper, Infiltration rate of the soil is investigated by using predictive models of Random
forest regression and their performance were compared with Artificial neural network (ANN) …
forest regression and their performance were compared with Artificial neural network (ANN) …
Building Adaptive Model of Transmission Inspection Data under the Background of Artificial Intelligence
S Lin, J Huang, T Ma, C Lin, W Yao… - … Conference on Internet …, 2023 - ieeexplore.ieee.org
With the development and application of artificial intelligence (AI) technology, the analysis
and application of transmission inspection data has also been greatly improved. Based on …
and application of transmission inspection data has also been greatly improved. Based on …
[PDF][PDF] A Machine Learning approach to predict Length of Stay of vehicles in an inbound logistics operation
VHS Pereira, KSTR Alves, EP de Aguiar - sbic.org.br
A large steel plant receives up to millions of tons of scrap metal through road transportation
each year in its inbound logistics process. The Length of Stay (LOS) of vehicles is one of the …
each year in its inbound logistics process. The Length of Stay (LOS) of vehicles is one of the …