Статті для всіх - Vijayan SugumaranДокладніше
Недоступно ніде: 14
A digital twin-based decision analysis framework for operation and maintenance of tunnels
G Yu, Y Wang, Z Mao, M Hu, V Sugumaran, YK Wang
Tunnelling and underground space technology 116, 104125, 2021
Мандати: National Natural Science Foundation of China
Dynamic decision support framework for production scheduling using a combined genetic algorithm and multiagent model
J Du, P Dong, V Sugumaran, D Castro‐Lacouture
Expert Systems 38 (1), e12533, 2021
Мандати: National Natural Science Foundation of China
From latency, through outbreak, to decline: detecting different states of emergency events using web resources
Z Xu, X Luo, Y Liu, KKR Choo, V Sugumaran, N Yen, L Mei, C Hu
IEEE Transactions on Big Data 4 (2), 245-257, 2016
Мандати: National Natural Science Foundation of China
Digital Twin-enabled and Knowledge-driven decision support for tunnel electromechanical equipment maintenance
G Yu, D Lin, Y Wang, M Hu, V Sugumaran, J Chen
Tunnelling and Underground Space Technology 140, 105318, 2023
Мандати: National Natural Science Foundation of China
Pair-wise ranking based preference learning for points-of-interest recommendation
Q Liu, L Mu, V Sugumaran, C Wang, D Han
Knowledge-Based Systems 225, 107069, 2021
Мандати: National Natural Science Foundation of China
BIM+ topology diagram-driven multiutility tunnel emergency response method
G Yu, Z Mao, M Hu, Z Li, V Sugumaran
Journal of Computing in Civil Engineering 33 (6), 04019038, 2019
Мандати: National Natural Science Foundation of China
Combining prompt learning with contextual semantics for inductive relation prediction
S Xie, Q Pan, X Wang, X Luo, V Sugumaran
Expert Systems with Applications 238, 121669, 2024
Мандати: National Natural Science Foundation of China
Optimal rebate strategy for an online retailer with a cashback platform: commission-driven or marketing-based?
L Mu, X Tang, V Sugumaran, W Xu, X Sun
Electronic Commerce Research 23 (1), 475-510, 2023
Мандати: National Natural Science Foundation of China
Implicit emotion relationship mining based on optimal and majority synthesis from multimodal data prediction
X Wang, Y Chang, V Sugumaran, X Luo, P Wang, H Zhang
IEEE MultiMedia 28 (2), 96-105, 2021
Мандати: National Natural Science Foundation of China
Crowdsourcing based spatial mining of urban emergency events using social media
Z Xu, V Sugumaran, H Zhang
Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of …, 2015
Мандати: National Natural Science Foundation of China
To do or not to do: How socio-demographic characteristics of older adults are associated with online activities
J Leukel, B Schehl, V Sugumaran
Human Aspects of IT for the Aged Population. Technology and Society: 6th …, 2020
Мандати: Federal Ministry of Education and Research, Germany
Dynamic model averaging-based procurement optimization of prefabricated components
J Du, X Li, V Sugumaran, Y Hu, Y Xue
Neural Computing and Applications 35 (36), 25157-25173, 2023
Мандати: National Natural Science Foundation of China
OEM's optimal remanufacturing mode considering patent license under different commission contracts with platform
L Mu, Y Wang, V Sugumaran
Electronic Commerce Research, 1-40, 2023
Мандати: National Natural Science Foundation of China
An Ecological Business Model for Intelligent Operation and Maintenance of Urban Infrastructure
J Du, X Wang, V Sugumaran
The Ecosystem of e-Business: Technologies, Stakeholders, and Connections …, 2019
Мандати: National Natural Science Foundation of China
Доступно в інших місцях: 31
Understanding differentiated internet use in older adults: A study of informational, social, and instrumental online activities
B Schehl, J Leukel, V Sugumaran
Computers in Human Behavior 97, 222-230, 2019
Мандати: Federal Ministry of Education and Research, Germany
Web assurance seal services, trust and consumers’ concerns: An investigation of e-commerce transaction intentions across two nations
DJ Kim, MS Yim, V Sugumaran, HR Rao
European Journal of Information Systems 25 (3), 252-273, 2016
Мандати: US National Science Foundation
Development and validation of a Disaster Management Metamodel (DMM)
SH Othman, G Beydoun, V Sugumaran
Information Processing & Management 50 (2), 235-271, 2014
Мандати: Australian Research Council
Participatory sensing-based semantic and spatial analysis of urban emergency events using mobile social media
Z Xu, H Zhang, V Sugumaran, KKR Choo, L Mei, Y Zhu
EURASIP Journal on Wireless Communications and Networking 2016, 1-9, 2016
Мандати: National Natural Science Foundation of China
Building knowledge base of urban emergency events based on crowdsourcing of social media
Z Xu, H Zhang, C Hu, L Mei, J Xuan, KKR Choo, V Sugumaran, Y Zhu
Concurrency and Computation: Practice and experience 28 (15), 4038-4052, 2016
Мандати: National Natural Science Foundation of China
Emotion correlation mining through deep learning models on natural language text
X Wang, L Kou, V Sugumaran, X Luo, H Zhang
IEEE transactions on cybernetics 51 (9), 4400-4413, 2020
Мандати: National Natural Science Foundation of China
Дані про публікацію й грошову підтримку визначаються автоматично комп'ютерною програмою