Browsing byAuthorLee, S

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Issue DateTitleAuthor(s)
2019-12-01Groundwater aquifer potential modeling using an ensemble multi-adoptive boosting logistic regression techniqueRizeei, HM; Pradhan, B; Saharkhiz, MA; Lee, S
2019-12-23Group-based approach to derivatives of delay models based on incremental queue accumulations for isolated signalized junctionsLee, S; Wong, SC
2017Group-based approach to predictive delay model based on incremental queue accumulations for adaptive traffic control systemsLee, S; Wong, SC
2018Group-based hierarchical adaptive traffic-signal control part I: FormulationLee, S; Wong, SC; Varaiya, P
2017-10Group-based hierarchical adaptive traffic-signal control Part II: ImplementationLee, S; Wong, SC; Varaiya, P
2018-02-20Hierarchical Composite Membranes with Robust Omniphobic Surface Using Layer-By-Layer Assembly TechniqueWoo, YC; Kim, Y; Yao, M; Tijing, LD; Choi, JS; Lee, S; Kim, SH; Shon, HK
2015-08-18High inorganic phosphate intake promotes tumorigenesis at early stages in a mouse model of lung cancerLee, S; Kim, JE; Hong, SH; Lee, AY; Park, EJ; Seo, HW; Chae, C; Doble, P; Bishop, D; Cho, MH
2015-03-14A high-performance nanoporous Si/Al<inf>2</inf>O<inf>3</inf> foam lithium-ion battery anode fabricated by selective chemical etching of the Al-Si alloy and subsequent thermal oxidationHwang, G; Park, H; Bok, T; Choi, S; Lee, S; Hwang, I; Choi, NS; Seo, K; Park, S
2017-01-01Homogeneous photoconversion of seawater uranium using copper and iron mixed-oxide semiconductor electrodesLee, S; Kang, U; Piao, G; Kim, S; Han, DS; Park, H
2019-10-01A hybrid computational intelligence approach to groundwater spring potential mappingBui, DT; Shirzadi, A; Chapi, K; Shahabi, H; Pradhan, B; Pham, BT; Singh, VP; Chen, W; Khosravi, K; Ahmad, BB; Lee, S
2019-03-15Hybrid desalination processes for beneficial use of reverse osmosis brine: Current status and future prospectsLee, S; Choi, J; Park, YG; Shon, H; Ahn, CH; Kim, SH
2022-01-01Identifying the Effective Restriction and Vaccination Policies During the COVID-19 Crisis in Sydney: A Machine Learning ApproachLee, S; Chen, F; Long, G; Yu, X; Wang, S
2022-05-10Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisationGrigorev, A; Mihaita, A-S; Lee, S; Chen, F
2022-08-01Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisationGrigorev, A; Mihaita, A-S; Lee, S; Chen, F
2012-01-01Influence of solution chemistry on the surface heterogeneity of reverse osmosis membraneKim, Y; Lee, S; Hong, S
2012-10-01Influence of temperature and temperature difference in the performance of forward osmosis desalination processPhuntsho, S; Vigneswaran, S; Kandasamy, J; Hong, S; Lee, S; Shon, HK
2019-09-01Integrated deep learning and stochastic car-following model for traffic dynamics on multi-lane freewaysLee, S; Ngoduy, D; Keyvan-Ekbatani, M
2019-07-01Integrated submerged membrane distillation-adsorption system for rubidium recoveryChoi, Y; Ryu, S; Naidu, G; Lee, S; Vigneswaran, S
2019-01-01Investigation of aqueous and light non-aqueous phase liquid in fractured double-porosity soilMoayedi, H; Foong, LK; Nazir, R; Pradhan, B; ElAskary, HM; Lee, S; Heggy, E; Pradhan, B
2019-01-01Landslide susceptibility mapping using different GIS-Based bivariate modelsNohani, E; Moharrami, M; Sharafi, S; Khosravi, K; Pradhan, B; Pham, BT; Lee, S; Melesse, AM