Particle swarm optimization: A comprehensive survey
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …
in the literature. Although the original PSO has shown good optimization performance, it still …
Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
EH Houssein, A Hammad, AA Ali - Neural Computing and Applications, 2022 - Springer
Affective computing, a subcategory of artificial intelligence, detects, processes, interprets,
and mimics human emotions. Thanks to the continued advancement of portable non …
and mimics human emotions. Thanks to the continued advancement of portable non …
Predicting academic success in higher education: literature review and best practices
E Alyahyan, D Düştegör - … Journal of Educational Technology in Higher …, 2020 - Springer
Student success plays a vital role in educational institutions, as it is often used as a metric for
the institution's performance. Early detection of students at risk, along with preventive …
the institution's performance. Early detection of students at risk, along with preventive …
Feature selection in machine learning: A new perspective
J Cai, J Luo, S Wang, S Yang - Neurocomputing, 2018 - Elsevier
High-dimensional data analysis is a challenge for researchers and engineers in the fields of
machine learning and data mining. Feature selection provides an effective way to solve this …
machine learning and data mining. Feature selection provides an effective way to solve this …
[HTML][HTML] Relief-based feature selection: Introduction and review
Feature selection plays a critical role in biomedical data mining, driven by increasing feature
dimensionality in target problems and growing interest in advanced but computationally …
dimensionality in target problems and growing interest in advanced but computationally …
A survey on malware detection using data mining techniques
In the Internet age, malware (such as viruses, trojans, ransomware, and bots) has posed
serious and evolving security threats to Internet users. To protect legitimate users from these …
serious and evolving security threats to Internet users. To protect legitimate users from these …
Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
Landslides are a manifestation of slope instability causing different kinds of damage
affecting life and property. Therefore, high-performance-based landslide prediction models …
affecting life and property. Therefore, high-performance-based landslide prediction models …
Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using …
The main objective of this study is to evaluate and compare the performance of landslide
models using machine learning ensemble technique for landslide susceptibility assessment …
models using machine learning ensemble technique for landslide susceptibility assessment …
A novel intrusion detection model for a massive network using convolutional neural networks
K Wu, Z Chen, W Li - Ieee Access, 2018 - ieeexplore.ieee.org
More and more network traffic data have brought great challenge to traditional intrusion
detection system. The detection performance is tightly related to selected features and …
detection system. The detection performance is tightly related to selected features and …