How machine learning changes the nature of cyberattacks on IoT networks: A survey
The Internet of Things (IoT) has continued gaining in popularity and importance in everyday
life in recent years. However, this development does not only present advantages. Indeed …
life in recent years. However, this development does not only present advantages. Indeed …
A comprehensive survey on knowledge-defined networking
PADSN Wijesekara, S Gunawardena - Telecom, 2023 - mdpi.com
Traditional networking is hardware-based, having the control plane coupled with the data
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …
Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approaches
Nowadays, a significant number of infectious diseases such as human coronavirus disease
(COVID-19) are threatening the world by spreading at an alarming rate. Some of the …
(COVID-19) are threatening the world by spreading at an alarming rate. Some of the …
Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction
J Abdollahi, B Nouri-Moghaddam - Iran Journal of Computer Science, 2022 - Springer
Diabetes is currently one of the most common, dangerous, and costly diseases globally
caused by increased blood sugar or a decrease in insulin in the body. Diabetes can have …
caused by increased blood sugar or a decrease in insulin in the body. Diabetes can have …
[HTML][HTML] A new approach in identifying the psychological impact of COVID-19 on university student's academic performance
COVID-19 was first discovered in Wuhan, China on December 2019. It is one of the worst
pandemics in human history. The education sector is one of the sectors most affected by the …
pandemics in human history. The education sector is one of the sectors most affected by the …
A comparative study on student performance prediction using machine learning
Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …
technology, educational data increases sharply. It is difficult for educational researchers to …
[HTML][HTML] Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings
This study used explainable machine learning (XML), a new branch of Machine Learning
(ML), to elucidate how ML models make predictions. Three tree-based regression models …
(ML), to elucidate how ML models make predictions. Three tree-based regression models …
Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms
E Altulaihan, MA Almaiah, A Aljughaiman - Sensors, 2024 - mdpi.com
Widespread and ever-increasing cybersecurity attacks against Internet of Things (IoT)
systems are causing a wide range of problems for individuals and organizations. The IoT is …
systems are causing a wide range of problems for individuals and organizations. The IoT is …
Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique
Parkinson's disease is the second most common neurological disorder that causes
significant physical disabilities, decreases the quality of life, and does not have a cure …
significant physical disabilities, decreases the quality of life, and does not have a cure …
NUS: Noisy-sample-removed undersampling scheme for imbalanced classification and application to credit card fraud detection
Since minority samples are substantially less common than majority samples, many
industrial applications, such as credit card fraud detection (CCFD) and defective part …
industrial applications, such as credit card fraud detection (CCFD) and defective part …