NETWORK INTRUSION DETECTION SYSTEMS USING SUPERVISED MACHINE LEARNING CLASSIFICATION AND DIMENSIONALITY REDUCTION TECHNIQUES: A SYSTEMATIC REVIEW

(Received: 21-Aug.-2021, Revised: 4-Nov.-2021 , Accepted: 14-Nov.-2021)

Zein Ashi,Laila Aburashed,Mahmoud Al-Qudah,Abdallah Qusef

#Network intrusion detection #Machine learning #Supervised learning #Dimensionality #Systematic review

Abstract

TWO-WAY METRIC LEARNING WITH MAJORITY AND MINORITY SUBSETS FOR CLASSIFICATION OF LARGE EXTREMELY IMBALANCED FACE DATASET

(Received: 16-Jul.-2021, Revised: 12-Sep.-2021 , Accepted: 27-Sep.-2021)

Ashu Kaushik,Seba Susan

#Face recognition #Metric learning #VGG-Face #Deep learning #Imbalanced learning #Extremely imbalanced dataset

Abstract

(Received: 18-May-2021, Revised: 2-Aug.-2021 , Accepted: 12-Aug.-2021)

Alok Kumar,Lekhraj,Anoj Kumar

#Meta-heuristic algorithms #Evolutionary algorithms #Nature-inspired algorithms #Swarm-based algorithms #Grey wolf optimizer #Neural network #Multi-layer perceptron

Abstract

(Received: 25-May-2021, Revised: 20-Jul.-2021 , Accepted: 11-Aug.-2021)

Mohamed Cheribet,Smaine Mazouzi

#Segmentation #Edge detection #Canny detector #Range images

Abstract