Performance analysis of IoT-based sensor, big data processing, and machine learning model for real-time monitoring system in automotive manufacturing
With the increase in the amount of data captured during the manufacturing process,
monitoring systems are becoming important factors in decision making for management …
monitoring systems are becoming important factors in decision making for management …
Hybrid prediction model for type 2 diabetes and hypertension using DBSCAN-based outlier detection, synthetic minority over sampling technique (SMOTE), and …
As the risk of diseases diabetes and hypertension increases, machine learning algorithms
are being utilized to improve early stage diagnosis. This study proposes a Hybrid Prediction …
are being utilized to improve early stage diagnosis. This study proposes a Hybrid Prediction …
Development of disease prediction model based on ensemble learning approach for diabetes and hypertension
Early diseases prediction plays an important role for improving healthcare quality and can
help individuals avoid dangerous health situations before it is too late. This paper proposes …
help individuals avoid dangerous health situations before it is too late. This paper proposes …
Clinical decision support systems in orthodontics: a narrative review of data science approaches
N Al Turkestani, J Bianchi… - Orthodontics & …, 2021 - Wiley Online Library
Advancements in technology and data collection generated immense amounts of
information from various sources such as health records, clinical examination, imaging …
information from various sources such as health records, clinical examination, imaging …
The use of machine learning for inferencing the effectiveness of a rehabilitation program for orthopedic and neurological patients
Advance assessment of the potential functional improvement of patients undergoing a
rehabilitation program is crucial in developing precision medicine tools and patient-oriented …
rehabilitation program is crucial in developing precision medicine tools and patient-oriented …
An affordable fast early warning system for edge computing in assembly line
Maintaining product quality is essential for smart factories, hence detecting abnormal events
in assembly line is important for timely decision-making. This study proposes an affordable …
in assembly line is important for timely decision-making. This study proposes an affordable …
Prediction of ovarian cancer using artificial intelligence tools
SM Ayyoubzadeh, M Ahmadi… - Health Science …, 2024 - Wiley Online Library
Purpose Ovarian cancer is a common type of cancer and a leading cause of death in
women. Therefore, accurate and fast prediction of ovarian tumors is crucial. One of the …
women. Therefore, accurate and fast prediction of ovarian tumors is crucial. One of the …
EU and the complex, nation-dependent web of media ownership regulation in Europe: The role of media ownership rules in limiting market concentration
A Afilipoaie, H Ranaivoson - European Audiovisual policy in …, 2023 - taylorfrancis.com
The media sector's dual economic and democratic role distinguishes it from other economic
sectors and calls for the media sector's regulation. Competition law and media-specific …
sectors and calls for the media sector's regulation. Competition law and media-specific …
Outlier Detection with Supervised Learning Method
AH Bawono, FA Bachtiar - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Outliers are data points that can affect the quality of data and the results of analysis from
data mining. Outlier detection can also be seen as a pre-processing step to find data points …
data mining. Outlier detection can also be seen as a pre-processing step to find data points …
Machine learning prediction of climate-induced disaster injuries
The frequency of climate-induced disasters (CID) has exhibited a fivefold increase in the last
five decades. In terms of CID global impact, around 1.7 billion people were affected in the …
five decades. In terms of CID global impact, around 1.7 billion people were affected in the …