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Title
Intelligent System for the Prediction of Heart Diseases Using Machine Learning Algorithms with Anew Mixed Feature Creation (MFC) technique
Author
Rawia Elarabi, Abdelrahman Elsharif Karrar, Murtada El-mukashfi El-taher
Vol. 23 No. 5 pp. 147-161
Keywords
machine learning; Classification; random forest; SVM; feature selection; cardiovascular; heart disease; LASSO feature selection; RFE-RF feature selection; K-nearest neighbors; AdaBoost
A Supervised Feature Selection Method for Malicious Intrusions Detection in IoT Based on Genetic Algorithm
Saman Iftikhar, Daniah Al-Madani, Saima Abdullah, Ammar Saeed, Kiran Fatima
Vol. 23 No. 3 pp. 49-56
Evolutionary computing; Genetic Algorithm (GA); Internet of Things; BoT-IoT dataset; Malicious Intrusions; Support Vector Machine (SVM); Logistic Regression (LR).
Comparative Analysis of Machine Learning Techniques for IoT Anomaly Detection Using the NSL-KDD Dataset
Zaryn Good, Waleed Farag, Xin-Wen Wu, Soundararajan Ezekiel, Maria Balega, Franklin May, and Alicia Deak
Vol. 23 No. 1 pp. 46-52
Internet of Things (IoT), XGBoost, SVM, DCNN, NSL-KDD, Machine Learning, Anomaly Detection
Hybrid CNN-SVM Based Seed Purity Identification and Classification System
Suganthi M and Dr. J. G. R. Sathiaseelan
Vol. 22 No. 10 pp. 271-281
Convolutional Neural Networks (CNNs), Support Vector Machines (SVM), Seed Purity classification.