A systematic mapping study for ensemble classification methods in cardiovascular disease

M Hosni, JM Carrillo de Gea, A Idri, M El Bajta… - Artificial Intelligence …, 2021 - Springer
Ensemble methods overcome the limitations of single machine learning techniques by
combining different techniques, and are employed in the quest to achieve a high level of …

A systematic review of automated pre-processing, feature extraction and classification of cardiotocography

S Al-Yousif, A Jaenul, W Al-Dayyeni, A Alamoodi… - PeerJ Computer …, 2021 - peerj.com
Objective This study aimed to perform a systematic review to describe the achievements
made by the researchers, summarizing findings that have been found by previous …

[HTML][HTML] WiFi indoor localization with CSI fingerprinting-based random forest

Y Wang, C Xiu, X Zhang, D Yang - Sensors, 2018 - mdpi.com
WiFi fingerprinting indoor positioning systems have extensive applied prospects. However, a
vast amount of data in a particular environment has to be gathered to establish a …

Detection of SQL injection attacks: a machine learning approach

M Hasan, Z Balbahaith… - … Conference on Electrical …, 2019 - ieeexplore.ieee.org
With the rapid growth in online services, hacking (alternatively attacking) on online database
applications has become a grave concern now. Attacks on online database application are …

Fetal state assessment based on cardiotocography parameters using PCA and AdaBoost

Y Zhang, Z Zhao - 2017 10th international congress on image …, 2017 - ieeexplore.ieee.org
Cardiotocography (CTG) is the widely used tool for recording fetal heart rate (FHR) signal
and uterine contraction (UC) activity at the same time during pregnancy and delivery. CTG is …

Machine-Learning-Assisted Aggregation-Induced Emissive Nanosilicon-Based Sensor Array for Point-of-Care Identification of Multiple Foodborne Pathogens

Y Li, Z Cui, Z Wang, L Shi, J Zhuo, S Yan, Y Ji… - Analytical …, 2024 - ACS Publications
How timely identification and determination of pathogen species in pathogen-contaminated
foods are responsible for rapid and accurate treatments for food safety accidents. Herein, we …

Assessment of groundwater potential and determination of influencing factors using remote sensing and machine learning algorithms: A study of Nainital district of …

Y Sharma, R Ahmed, TK Saha, N Bhuyan… - Groundwater for …, 2024 - Elsevier
Exponential increase in population, rapid urbanization and industrialization have increased
the demand of water globally. Groundwater is an important resource in hilly and …

Analyzing uncertainty in cardiotocogram data for the prediction of fetal risks based on machine learning techniques using rough set

E Kannan, S Ravikumar, A Anitha, SAP Kumar… - Journal of Ambient …, 2021 - Springer
The key focus of this venture is to evaluate the calibration of classifiers built on rules, trees,
and functions by exploring the uncertain information that exists in the Cardiotocography …

Fetal health state monitoring using decision tree classifier from cardiotocography measurements

M Ramla, S Sangeetha… - 2018 second international …, 2018 - ieeexplore.ieee.org
Perinatal Mortality is an alarming issue in the world which needs immediate attention for the
sustainable growth of nation. To address this issue, both intrapartum and antepartum fetal …

Health monitoring methods in heart diseases based on data mining approach: A directional review

M Harouni, M Karimi, A Nasr, H Mahmoudi… - Prognostic models in …, 2022 - Springer
Health monitoring in humans is very important. This monitoring can be done in different
people from embryonic period to adulthood. A healthy fetal will lead to a healthy baby. For …