NEWS
New Feature!!!! University Subject Rankings in 12 branches
FOR SCIENTIST REGISTRATION FOR INSTITUTIONAL BULK REGISTRATION
FOR EDIT YOUR UNIVERSITY / INSTITUTION PAGE
Some differences of the AD Scientific Index
New Feature!!!! University Subject Rankings in 12 branches
List without CERN, Statistical Data etc. Only in AD Scientific Index
New Feature!!!! University Subject Rankings in 12 branches
AD
Scientific Index 2024
About Us
Methodology
Compare & Choose
Contact - FAQ
login
Login
person_add
Register
insights
i10 Productivity Rankings
format_list_numbered
Citation Rankings
school
University Rankings
subject
University Subject Rankings
insights
Subject Rankings
place
Country Rankings
format_list_numbered
Top 100 Scientists
format_quote
Top 100 Institutions
local_fire_department
Country Top Lists
Sujith Mangalathu
Georgia Institute of Technology - Atlanta / United States
Engineering & Technology / Computer Science
AD Scientific Index ID: 1420735
Edit Form
Registration, Add Profile,
Premium Membership
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
Sujith Mangalathu's MOST POPULAR ARTICLES
1-)
Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approachS Mangalathu, SH Hwang, JS JeonEngineering Structures 219, 110927, 20201662020
2-)
Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniquesS Mangalathu, JS JeonEngineering Structures 160, 85-94, 20181652018
3-)
Artificial neural network based multi-dimensional fragility development of skewed concrete bridge classesS Mangalathu, G Heo, JS JeonEngineering Structures 162, 166-176, 20182232018
4-)
Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear wallsS Mangalathu, H Jang, SH Hwang, JS JeonEngineering Structures 208, 110331, 20202212020
5-)
Machine learning–based failure mode recognition of circular reinforced concrete bridge columns: Comparative studyS Mangalathu, JS JeonJournal of Structural Engineering 145 (10), 04019104, 20192082019
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