AUTOMATIC GENERATION OF UML DIAGRAMS FROM SCENARIO-BASED USER REQUIREMENTS

(Received: 18-Mar.-2021, Revised: 9-May-2021 and 19-May-2021 , Accepted: 22-May-2021)

Abdelkareem M. Alashqar

#Software engineering #Object-oriented #UML #Use cases #Scenarios #Natural language processing

Abstract

PHIBOOST- A NOVEL PHISHING DETECTION MODEL USING ADAPTIVE BOOSTING APPROACH

(Received: 14-Sep.-2020, Revised: 6-Nov.-2020 , Accepted: 15-Dec.-2020)

Ammar Odeh,Ismail Keshta,Eman Abdelfattah

#Adaptive boost #Feature selection #Correlation-based feature #Machine learning

Abstract

(Received: 19-Jun.-2020, Revised: 8-Aug.-2020 , Accepted: 30-Aug.-2020)

Raed Alazaidah,Farzana Kabir Ahmad,Mohamad Farhan Mohamad Mohsin,Wael Ahmad AlZoubi

#Prediction #Machine learning #Multi-label ranking #Multi-label classification #Problem transformation methods #Class ranking methods

Abstract

(Received: 27-May-2020, Revised: 7-Aug.-2020 , Accepted: 26-Aug.-2020)

Elham Darbanian,Dadmehr Rahbari,Roghayeh Ghanizadeh,Mohsen Nickray

#Fog computing #Decision tree classifier #Random forest classifier #Extra-trees classifier #AdaBoost classifier #Offloading #Machine learning

Abstract