An ensemble tree-based model for intrusion detection in industrial internet of things networks
With less human involvement, the Industrial Internet of Things (IIoT) connects billions of
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …
Analysis of feature selection methods in software defect prediction models
Improving software quality by proactively detecting potential defects during development is a
major goal of software engineering. Software defect prediction plays a central role in …
major goal of software engineering. Software defect prediction plays a central role in …
Feature Selection using Genetic Algorithm for Software Fault Prediction
The field of software engineering has seen an increase in research aimed at predicting
software defects. The importance of non-functional defects in this study can effectively …
software defects. The importance of non-functional defects in this study can effectively …
A Survey on Feature Selection in Imbalanced Data for Software Defect Prediction
M Abdullah, FA Setiawan - 2023 Eighth International …, 2023 - ieeexplore.ieee.org
In software defect prediction, unbalanced data poses a substantial obstacle due to the
considerably lesser count of corrupted instances in comparison to non-damaged instances …
considerably lesser count of corrupted instances in comparison to non-damaged instances …
An Ensemble-Based Hotel Reviews System Using Naive Bayes Classifier
JB Awotunde, S Misra, V Katta, OC Adebayo - 2023 - hiof.brage.unit.no
The task of classifying opinions conveyed in any form of text online is referred to as
sentiment analysis. The emergence of social media usage and its spread has given room for …
sentiment analysis. The emergence of social media usage and its spread has given room for …
A neuro-fuzzy security risk assessment system for software development life cycle
This study aims to protect software development by creating a Software Risk Assessment
(SRA) model for each phase of the Software Development Life Cycle (SDLC) using an …
(SRA) model for each phase of the Software Development Life Cycle (SDLC) using an …
Identification of Risk Factors Using ANFIS-Based Security Risk Assessment Model for SDLC Phases
In the field of software development, the efficient prioritizing of software risks was essential
and play significant roles. However, finding a viable solution to this issue is a difficult …
and play significant roles. However, finding a viable solution to this issue is a difficult …
Comparative study for predicting melanoma skin cancer using linear discriminant analysis (LDA) and classification algorithms
AE Adeniyi, JB Ayoola, Y Farhaoui… - … Conference on Artificial …, 2023 - Springer
Early detection and prediction of melanoma can help control large-scale outbreaks and
reduce the transmission of epidemics in rapid response to serious public health events …
reduce the transmission of epidemics in rapid response to serious public health events …
Prediction Of Software Defects by Employing Optimized Deep Learning and Oversampling Approaches
MC Devi, TD Rajkumar… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
One of the most crucial methods for assessing software quality and cutting development
costs is software defect prediction (SDP). Software defects can be predicted using data …
costs is software defect prediction (SDP). Software defects can be predicted using data …
Implementation of K-Nearest Neighbor using the oversampling technique on mixed data for the classification of household welfare status
NM Djafar, A Fauzan - Statistics in Transition, 2024 - ceeol.com
Welfare is closely related to poverty and the socio-economic disparities in a society. Based
on data from the Central Bureau of Statistics, Kulon Progo in Indonesia had the highest …
on data from the Central Bureau of Statistics, Kulon Progo in Indonesia had the highest …