Predicting attack pattern via machine learning by exploiting stateful firewall as virtual network function in an SDN network
Decoupled data and control planes in Software Defined Networks (SDN) allow them to
handle an increasing number of threats by limiting harmful network links at the switching …
handle an increasing number of threats by limiting harmful network links at the switching …
An improved hybrid approach for handling class imbalance problem
Class imbalance issue that presents in many real-world datasets exhibit favouritism toward
the majority class and showcases poor performance for the minority class. Such …
the majority class and showcases poor performance for the minority class. Such …
Predicting the occurrence of construction disputes using machine learning techniques
The construction industry is overwhelmed by an increasing number and severity of disputes.
The primary objective of this research is to predict the occurrence of disputes by utilizing …
The primary objective of this research is to predict the occurrence of disputes by utilizing …
Spatial and Temporal Variation in Primary Forest Growth in the Northern Daxing'an Mountains Based on Tree-Ring and NDVI Data
B Wang, Z Wang, D Zhang, L Li, Y Zhao, T Luo… - Forests, 2024 - mdpi.com
We used tree-ring width data of Larix gmelinii and Pinus sylvestris var. mongolica from the
northern region of the Daxing'an Mountains, China; normalized difference vegetation index …
northern region of the Daxing'an Mountains, China; normalized difference vegetation index …
[PDF][PDF] Weather prediction performance evaluation on selected machine learning algorithms
Prediction of weather has been proved useful in the early warning on the impacts of weather
on several areas of human livelihood. For example, the provision of decisions for …
on several areas of human livelihood. For example, the provision of decisions for …
Feature Selection Using Firefly Algorithm with Tree-Based Classification in Software Defect Prediction
Defects that occur in software products are a universal occurrence. Software defect
prediction is usually carried out to determine the performance, accuracy, precision and …
prediction is usually carried out to determine the performance, accuracy, precision and …
The amalgamation of wavelet packet information gain entropy tuned source and system parameters for improved speech emotion recognition
HK Palo, S Subudhiray, N Das - Speech Communication, 2023 - Elsevier
This paper proposes a three-stage feature selection algorithm by exploring the wavelet
packet (WP) decomposition, statistical, and Information Gain (IG) feature ranking algorithm …
packet (WP) decomposition, statistical, and Information Gain (IG) feature ranking algorithm …
[PDF][PDF] A prediction model based machine learning algorithms with feature selection approaches over imbalanced dataset
The educational sector faced many types of research in predicting student performance
based on supervised and unsupervised machine learning algorithms. Most students' …
based on supervised and unsupervised machine learning algorithms. Most students' …
[PDF][PDF] Fraudulent credit card transaction detection using soft computing techniques
Nowadays, fraudulent or deceitful activities associated with financial transactions,
predominantly using credit cards have been increasing at an alarming rate and are one of …
predominantly using credit cards have been increasing at an alarming rate and are one of …
Boosting with crossover for improving imbalanced medical datasets classification
Due to the common use of electronic health databases in many healthcare services,
healthcare data are available for researchers in the classification field to make diseases' …
healthcare data are available for researchers in the classification field to make diseases' …