A novel approach for polycystic ovary syndrome prediction using machine learning in bioinformatics
Polycystic ovary syndrome (PCOS) is a critical disorder in women during their reproduction
phase. The PCOS disorder is commonly caused by excess male hormone and androgen …
phase. The PCOS disorder is commonly caused by excess male hormone and androgen …
Heart failure survival prediction using novel transfer learning based probabilistic features
Heart failure is a complex cardiovascular condition characterized by the heart's inability to
pump blood effectively, leading to a cascade of physiological changes. Predicting survival in …
pump blood effectively, leading to a cascade of physiological changes. Predicting survival in …
Exploiting machine learning to tackle peculiar consumption of electricity in power grids: A step towards building green smart cities
The increasing demand for electricity in daily life highlights the need for Smart Cities (SC) to
use energy efficiently. Both technical and Non‐Technical Losses (NTL), particularly those …
use energy efficiently. Both technical and Non‐Technical Losses (NTL), particularly those …
Implementation Of Naïve Bayes Algorithm In Sentiment Analysis Of Twitter Social Media Users Regarding Their Interest To Pay The Tax
BW Andrian, FAT Tobing, IZ Pane… - International Journal of …, 2023 - ijstm.inarah.co.id
Since 2008, tax revenue has failed to reach the target set in the State Budget each year.
Until 2021, tax revenue managed to reach the target that had been targeted in the 2021 …
Until 2021, tax revenue managed to reach the target that had been targeted in the 2021 …
[PDF][PDF] Classification methods comparison for customer churn prediction in the telecommunication industry
M Makruf, A Bramantoro, HJ Alyamani… - … Journal of Advanced …, 2021 - researchgate.net
The need for telecommunication services has increased dramatically in schools, offices,
entertainment, and other areas. On the other hand, the competition between …
entertainment, and other areas. On the other hand, the competition between …
User churn prediction hierarchical model based on graph attention convolutional neural networks
M Miao, T Miao, Z Long - China Communications, 2024 - ieeexplore.ieee.org
The telecommunications industry is becoming increasingly aware of potential subscriber
churn as a result of the growing popularity of smartphones in the mobile Internet era, the …
churn as a result of the growing popularity of smartphones in the mobile Internet era, the …
Study on Design and Simulation of Temperature Control System
R Yadav, KK Singh - Journal of Informatics Electrical and …, 2021 - jieee.a2zjournals.com
Temperature control system is a complicated process which maintains the temperature in a
particular defined area to a certain maxima or minima level. In recent times, we are …
particular defined area to a certain maxima or minima level. In recent times, we are …
A Comparison of Machine Learning Algorithms for Customer Churn Prediction
P Pulkundwar, K Rudani, O Rane… - … on Advances in …, 2023 - ieeexplore.ieee.org
Today's fiercely competitive business environment has given significant importance to
customer churn, a term used for the loss of customers, which possesses a significant …
customer churn, a term used for the loss of customers, which possesses a significant …
Naïve Bayes Classification Model for the Producer Price Index Prediction
MW Pertiwi, M Kusmira, R Rezkiani… - Sistemasi: Jurnal …, 2022 - sistemasi.ftik.unisi.ac.id
Abstract Producer Price Index is an index number that describes the level of price change at
the producer level. Data users can take advantage of the development of producer prices as …
the producer level. Data users can take advantage of the development of producer prices as …