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

COMPARATIVE STUDY OF MACHINE LEARNING AND DEEP LEARNING ALGORITHM FOR FACE RECOGNITION

(Received: 28-Jun.-2021, Revised: 17-Aug.-2021 , Accepted: 19-Aug.-2021)

Nikita Singhal,Vaishali Ganganwar,Menka Yadav,Asha Chauhan,Mahender Jakhar,Kareena Sharma

#Face recognition #Local binary pattern #Convolutional neural networks #Principal component analysis #Histogram of oriented gradient

Abstract

(Received: 6-Jan.-2021, Revised: 5-Mar.-2021 , Accepted: 27-Mar.-2021)

Ayman S. Ghabayen,Basem H. Ahmed

#Recommender systems #Collaborative filtering #Review text #Clustering #Top-N recommendation

Abstract

(Received: 2-Aug-2019, Revised: 26-Oct-2019 , Accepted: 16-Nov-2019)

Vishnu Vandana Kolisetty,Dharmendra Singh Rajput*

#Big data #Machine learning #Data analysis #Big data implications #Big data challenges.

Abstract