NEWS
Find a Professional: Explore Experts Across 197 Disciplines in 220 Countries!
Find a Professional
Print Your Certificate
New! Young University / Institution Rankings 2025
New! Art & Humanities Rankings 2025
New! Social Sciences and Humanities Rankings 2025
Highly Cited Researchers 2025
AD
Scientific Index 2025
Scientist Rankings
University Rankings
Subject Rankings
Country Rankings
login
Login
person_add
Register
insights
H-Index Rankings
insights
i10 Productivity Rankings
format_list_numbered
Citation Rankings
subject
University Subject Rankings
school
Young Universities
format_list_numbered
Top 100 Scientists
format_quote
Top 100 Institutions
format_quote
Compare & Choose
local_fire_department
Country Reports
person
Find a Professional
Esraa Faisal Malik
Universiti Sains Malaysia - Penang / Malaysia
Engineering & Technology / Computer Science
AD Scientific Index ID: 5632598
Registration, Add Profile,
Premium Membership
Print Your Certificate
Ranking &
Analysis
Job
Experiences (0)
Education
Information (0)
Published Books (0)
Book Chapters (0)
Articles (0)
Presentations (0)
Lessons (0)
Projects (0)
Congresses (0)
Editorship, Referee &
Scientific Board (0 )
Patents /
Designs (0)
Academic Grants
& Awards (0)
Artistic
Activities (0)
Certificate / Course
/ Trainings (0)
Association &
Society Memberships (0)
Contact, Office
& Social Media
person_outline
Esraa Faisal Malik's MOST POPULAR ARTICLES
1-)
Credit card fraud detection using a new hybrid machine learning architectureEF Malik, KW Khaw, B Belaton, WP Wong, XY ChewMathematics 10 (9), 1480, 2022552022
2-)
Text mining life cycle for a spatial reading of Viet Thanh Nguyen\\\\\\\\\\\\\\\'s The Refugees (2017)EF Malik, P Keikhosrokiani, MP Asl2021 International Congress of Advanced Technology and Engineering (ICOTEN), 1-9, 2021142021
3-)
A decade of research on machine learning techniques for predicting employee turnover: A systematic literature reviewM Al Akasheh, EF Malik, O Hujran, N ZakiExpert Systems with Applications 238, 121794, 2024112024
4-)
A decade of research on machine learning techniques for predicting employee turnover:: A systematic literature reviewMA Akasheh, EF Malik, O Hujran, N Zaki62024
5-)
Hybrid GA–DeepAutoencoder–KNN Model for Employee Turnover PredictionCS Lim, EF Malik, KW Khaw, A Alnoor, XY Chew, ZL Chong, ...Statistics, Optimization & Information Computing 12 (1), 75-90, 202442024
ARTICLES
Add your articles
We use cookies to personalize our website and offer you a better experience. If you accept cookies, we can offer you special services.
Cookie Policy
Accept