Machine learning for dementia prediction: a systematic review and future research directions
Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully
provided automated solutions to numerous real-world problems. Healthcare is one of the …
provided automated solutions to numerous real-world problems. Healthcare is one of the …
IoT intrusion detection using machine learning with a novel high performing feature selection method
The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …
A hybrid intrusion detection system based on feature selection and weighted stacking classifier
R Zhao, Y Mu, L Zou, X Wen - IEEE Access, 2022 - ieeexplore.ieee.org
Cyber-attacks occur more frequently with the rapid growth in the Internet. Intrusion detection
systems (IDS) have become an important part of protecting system security. There are still …
systems (IDS) have become an important part of protecting system security. There are still …
[HTML][HTML] Enhanced intrusion detection model based on principal component analysis and variable ensemble machine learning algorithm
The intrusion detection system (IDS) model, which can identify the presence of intruders in
the network and take some predefined action for safe data transit across the network, is …
the network and take some predefined action for safe data transit across the network, is …
[Retracted] A Clinical Decision Support System (CDSS) for Unbiased Prediction of Caesarean Section Based on Features Extraction and Optimized Classification
A Javeed, L Ali, A Mohammed Seid… - Computational …, 2022 - Wiley Online Library
Nowadays, caesarean section (CS) is given preference over vaginal birth and this trend is
rapidly rising around the globe, although CS has serious complications such as pregnancy …
rapidly rising around the globe, although CS has serious complications such as pregnancy …
A machine learning classifier for predicting stable MCI patients using gene biomarkers
Alzheimer's disease (AD) is a neurodegenerative disorder with an insidious onset and
irreversible condition. Patients with mild cognitive impairment (MCI) are at high risk of …
irreversible condition. Patients with mild cognitive impairment (MCI) are at high risk of …
High density sensor networks intrusion detection system for anomaly intruders using the slime mould algorithm
The Intrusion Detection System (IDS) is an important feature that should be integrated in
high density sensor networks, particularly in wireless sensor networks (WSNs). Dynamic …
high density sensor networks, particularly in wireless sensor networks (WSNs). Dynamic …
[HTML][HTML] Advanced design and operation of Energy Hub for forest industry using reliability assessment
B Talebjedi, T Laukkanen, H Holmberg… - Applied Thermal …, 2023 - Elsevier
A large part of the refining heat production in the thermomechanical pulp mill can be
recovered to supply the paper machine heat demand. This study introduces a novel …
recovered to supply the paper machine heat demand. This study introduces a novel …
Efficient, lightweight cyber intrusion detection system for IoT ecosystems using mi2g algorithm
The increase in internet connectivity has led to an increased usage of the Internet of Things
(IoT) and devices on the internet. These IoT devices are becoming the backbone of Industry …
(IoT) and devices on the internet. These IoT devices are becoming the backbone of Industry …
An integrated decision support system for heart failure prediction based on feature transformation using grid of stacked autoencoders
Heart failure (HF) is a life-threatening disease. Therefore, prediction of risks associated with
HF is essential at the early stages of the disease in order to ensure safety and reduce the …
HF is essential at the early stages of the disease in order to ensure safety and reduce the …