[PDF][PDF] Knowledge discovery in manufacturing datasets using data mining techniques to improve business performance

AG Shaaban, MH Khafagy, MA Elmasry… - Indones. J. Electr …, 2022 - researchgate.net
Recently due to the explosion in the data field, there is a great interest in the data science
areas such as big data, artificial intelligence, data mining, and machine learning. Knowledge …

[PDF][PDF] Multimode system condition monitoring using sparsity reconstruction for quality control.

W Bougheloum, M Bekaik, S Gherbi - International Journal of …, 2023 - researchgate.net
In this paper, we introduce an improved multivariate statistical monitoring method based on
the stacked sparse autoencoder (SSAE). Our contribution focuses on the choice of the SSAE …

Accelerating real-time deterministic discovery through single instruction multiple data graphical processor unit for executing distributed event logs.

H Fauzan, R Sarno, A Saikhu - International Journal of …, 2024 - search.ebscohost.com
With the rapid expansion of process mining implementation in global enterprises distributed
across numerous branches, there is a critical requirement to develop an application …

[PDF][PDF] Integrated NIR-HE based SPOT-5 image enhancement method for features preservation and edge detection

FA Zulkifle, R Hassan, MN Ahmad, S Kasim… - Indonesian Journal of …, 2021 - academia.edu
Recently, many researchers have directed their attention to methods of predicting shorelines
by the use of multispectral images. Thus, a simple and optimised method using image …

Urban Deforestation Assessment with Optimized Transfer Learning and Quantizedweights on Remote Sensed Satellite Imagery

N More, VB Nikam, B Banerjee, M Galphade… - Available at SSRN … - papers.ssrn.com
Quantization is a process for executing operations and accumulating values oftensors with
bit widths lower than the precision of floating-point values. Insteadof floating-point values …