Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Intelligent decision forest models for customer churn prediction
Customer churn is a critical issue impacting enterprises and organizations, particularly in the
emerging and highly competitive telecommunications industry. It is important to researchers …
emerging and highly competitive telecommunications industry. It is important to researchers …
[HTML][HTML] Empirical analysis of tree-based classification models for customer churn prediction
Customer churn is a vital and reoccurring problem facing most business industries,
particularly the telecommunications industry. Considering the fierce competition among …
particularly the telecommunications industry. Considering the fierce competition among …
Performance analysis of machine learning methods with class imbalance problem in android malware detection
Due to the exponential rise of mobile technology, a slew of new mobile security concerns
has surfaced recently. To address the hazards connected with malware, many approaches …
has surfaced recently. To address the hazards connected with malware, many approaches …
[HTML][HTML] Empirical analysis of data streaming and batch learning models for network intrusion detection
Network intrusion, such as denial of service, probing attacks, and phishing, comprises some
of the complex threats that have put the online community at risk. The increase in the …
of the complex threats that have put the online community at risk. The increase in the …
[HTML][HTML] Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction
In recent times, customer churn has become one of the most significant issues in business-
oriented sectors with telecommunication being no exception. Maintaining current customers …
oriented sectors with telecommunication being no exception. Maintaining current customers …
An empirical study on data sampling methods in addressing class imbalance problem in software defect prediction
With the growing rate of software systems and their applications in diverse walks of life,
develo** a software system that has no defects is a subject that cannot be …
develo** a software system that has no defects is a subject that cannot be …
Detection of phishing URLs with deep learning based on GAN-CNN-LSTM network and swarm intelligence algorithms
Phishing attacks are one of the challenges of the Internet and its users. Phishing attacks are
an example of social engineering attacks based on deceiving users. In phishing attacks …
an example of social engineering attacks based on deceiving users. In phishing attacks …
Website phishing detection using machine learning classification algorithms
M Mithra Raj, JA Arul Jothi - International Conference on Applied …, 2022 - Springer
The growth and development of internet technology have made life a lot better and easier. It
has increased the convenience of performing essential transactions with the click of a button …
has increased the convenience of performing essential transactions with the click of a button …
A Systematic Review on Website Phishing Attack Detection for Online Users
Phishing is the criminal effort to steal delicate information such as account details,
passwords, usernames, credit, and debit card details for malicious use. Phishing fraud might …
passwords, usernames, credit, and debit card details for malicious use. Phishing fraud might …
Ensemble Balanced Nested Dichotomy Fuzzy Models for Software Requirement Risk Prediction
Modern software systems are becoming more intricate, making identification of risks in the
software requirement phase—a fundamental aspect of the software development life cycle …
software requirement phase—a fundamental aspect of the software development life cycle …