[HTML][HTML] Ensemble learning for disease prediction: A review
Machine learning models are used to create and enhance various disease prediction
frameworks. Ensemble learning is a machine learning technique that combines multiple …
frameworks. Ensemble learning is a machine learning technique that combines multiple …
[HTML][HTML] Review of cyberattack implementation, detection, and mitigation methods in cyber-physical systems
With the rapid proliferation of cyber-physical systems (CPSs) in various sectors, including
critical infrastructure, transportation, healthcare, and the energy industry, there is a pressing …
critical infrastructure, transportation, healthcare, and the energy industry, there is a pressing …
A neural network ensemble with feature engineering for improved credit card fraud detection
Recent advancements in electronic commerce and communication systems have
significantly increased the use of credit cards for both online and regular transactions …
significantly increased the use of credit cards for both online and regular transactions …
A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE‐ENN Oversampling Technique and Hyperparameter …
M Muntasir Nishat, F Faisal, I Jahan Ratul… - Scientific …, 2022 - Wiley Online Library
Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the
body due to impaired contractile properties of the muscles of the heart. Like any other …
body due to impaired contractile properties of the muscles of the heart. Like any other …
A deep learning ensemble with data resampling for credit card fraud detection
Credit cards play an essential role in today's digital economy, and their usage has recently
grown tremendously, accompanied by a corresponding increase in credit card fraud …
grown tremendously, accompanied by a corresponding increase in credit card fraud …
[HTML][HTML] An automated conversation system using natural language processing (nlp) chatbot in python
The purpose of this project is to build a ChatBot that utilises NLP (Natural Language
Processing) and assists customers. A ChatBot is an automated conversation system that …
Processing) and assists customers. A ChatBot is an automated conversation system that …
[PDF][PDF] A new two-step ensemble learning model for improving stress prediction of automobile drivers
G Issa - The International Arab Journal of Information …, 2021 - ccis2k.org
Commuting when there is a significant volume of traffic congestion has been acknowledged
as one of the key factors causing stress. Significant levels of stress whilst driving are seen to …
as one of the key factors causing stress. Significant levels of stress whilst driving are seen to …
Augmented data driven self-attention deep learning method for imbalanced fault diagnosis of the HVAC chiller
C Shen, H Zhang, S Meng, C Li - Engineering Applications of Artificial …, 2023 - Elsevier
The chiller fault diagnosis is of great significance to maintain the normal operation of the
HVAC system and indoor comfort. Due to the difficulty in collecting the chiller's fault data, we …
HVAC system and indoor comfort. Due to the difficulty in collecting the chiller's fault data, we …
An effective heart disease detection and severity level classification model using machine learning and hyperparameter optimization methods
Cardiovascular disease (CVD) is the leading cause of death worldwide. A Machine Learning
(ML) system can predict CVD in the early stages to mitigate mortality rates based on clinical …
(ML) system can predict CVD in the early stages to mitigate mortality rates based on clinical …
[HTML][HTML] IoT based smart monitoring of patients' with acute heart failure
The prediction of heart failure survivors is a challenging task and helps medical
professionals to make the right decisions about patients. Expertise and experience of …
professionals to make the right decisions about patients. Expertise and experience of …