Author Index

* Please note this includes full papers only

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

Haak, B.
- A functional strategy for nonlinear functionals
  Anderssen, R.S., Haak, B. and Hegland, M.
  https://doi.org/10.36334/modsim.2019.A3.anderssen2

Hai, F.I.
- Nitrogen removal in a cascade of four reactors employing the activated sludge process
  Nelson, M.I. and Hai, F.I.
  https://doi.org/10.36334/modsim.2019.A5.nelson

Hall, B.
- Identifying intelligence links in threat networks through machine learning on explosives chemical data
  Crase, S., Hall, B. and Thennadil, S.
  https://doi.org/10.36334/modsim.2019.B4.crase

Hall, J.
- What do we need from catchment water quality models in Australia?
  Fu, B., Merritt, W.S., Cuddy, S.M., Jakeman, A.J., Croke, B., Weber, T., Hall, J., Waters, D.K. and Baker, D.
  https://doi.org/10.36334/modsim.2019.K15.fuB

Hamilton, G.
- Modelling wildlife species abundance using automated detections from drone surveillance
  Corcoran, E., Denman, S. and Hamilton, G.
  https://doi.org/10.36334/modsim.2019.G9.corcoran

Hamilton, S.H.
- Reflecting on integrated assessment in the Socially Inclusive Agricultural Intensification (SIAGI) project
  Merritt, W.S., Hamilton, S.H., Carter, L., Cosijn, M., Lim-Camacho, L. and Roth, C.H.
  https://doi.org/10.36334/modsim.2019.J9.merritt
- Integrated assessment frameworks for understanding pathways for socially inclusive agricultural intensification
  Hamilton, S.H., Merritt, W.S., Lim-Camacho, L., Carter, L., Cosijn, M. and Roth, C.H.
  https://doi.org/10.36334/modsim.2019.J7.hamilton

Hamori, S.
- Pricing carbon emissions for Japan based on energy production
  Chang, C.-L., Hamori, S. and McAleer, M.
  https://doi.org/10.36334/modsim.2019.E3.chang2

Han, S.S.
- Evaporation rates for a coral island by field observation and simulation
  Han, S.S., Liu, S.X., Hu, S., Mo, X. and Song, X.
  https://doi.org/10.36334/modsim.2019.A4.han

Hancock, G.R.
- Centennial-scale variability of soil moisture in eastern Australia
  Gibson, A.J., Hancock, G.R., Verdon-Kidd, D.C. and Wells, T.
  https://doi.org/10.36334/modsim.2019.K22.gibson
- Effects of soil data input on catchment streamflow and soil moisture prediction
  Binesh, A., Yeo, I-Y. and Hancock, G.R.
  https://doi.org/10.36334/modsim.2019.K24.binesh2
- Using an artificial neural network to enhance the spatial resolution of satellite soil moisture products based on soil thermal inertia
  Senanayake, I.P., Yeo, I-Y., Willgoose, G.R., Hancock, G.R. and Bretreger, D.
  https://doi.org/10.36334/modsim.2019.K10.senanayake

Harris, S.
- Victorian fire weather trends and variability
  Harris, S., Mills, G. and Brown, T.
  https://doi.org/10.36334/modsim.2019.H7.harris

Harrison, N.
- A flexible family of hypertabastic models
  Singh, K., Harrison, N., Eby, W., Tabatabai, M., Bursac, Z., Uhm, M., Bartolucci, A. and Bae, S.
  https://doi.org/10.36334/modsim.2019.I1.singh

Harrison, S.M.
- The Bio-Mechanic Workspace plugin: Enabling biomechanical measurement and simulation across workflows and software applications
  Harrison, S.M. and Cohen, R.C.Z.
  https://doi.org/10.36334/modsim.2019.D2.harrison

Hartigan, J.
- Trends in precipitation and temperature in Canberra
  Hartigan, J., MacNamara, S. and Leslie, L.M.
  https://doi.org/10.36334/modsim.2019.K7.hartigan

Hasan, S.
- Bilevel optimisation as a solution method for an agri-environmental principal-agent problem
  Barnhart, B.L., Bostian, M.B., Hasan, S., Smart, J.C.R. and Fleming, C.
  https://doi.org/10.36334/modsim.2019.J6.barnhart

Hazart, A.
- Development of an Atmosphere-Ocean-Geosphere-Coupled Climate Model and its application to the Kanto plain, Japan
  Vuillaume, J.F., Fukazawa, S., Goto, K., Hazart, A., Konishi, Y., Onishi, R., Sugiyama, T., Tada, K., Tawara, Y., Tosaka, H. and Takahashi, K.
  https://doi.org/10.36334/modsim.2019.K9.vuillaume

Hegland, M.
- Stratified space learning: Reconstructing embedded graphs
  Bokor, Y., Grixti-Cheng, D., Hegland, M., Roberts, S. and Turner, K.
  https://doi.org/10.36334/modsim.2019.A3.bokor
- A functional strategy for nonlinear functionals
  Anderssen, R.S., Haak, B. and Hegland, M.
  https://doi.org/10.36334/modsim.2019.A3.anderssen2

Hemtanon, W.
- Impacts of Microfinance Programs in Thailand
  Hemtanon, W. and Gan, C.
  https://doi.org/10.36334/modsim.2019.E5.hemtanon

Heng, C.K.
- Multi-objectives optimisation framework: A comparative study on the relationship between urban block typologies and key environmental performance indicators in Tianjin Eco-City
  Raharjo, G.P., Heng, C.K., Zhang, J., Sun, X.F., Chao, Y.H. and Shao, M.Q.
  https://doi.org/10.36334/modsim.2019.F4.raharjo

Henry, D.A.
- Pasture API: A digital platform to support grazing management for southern Australia
  Thomas, D.T., Mitchell, P.J., Zurcher, E.J., Herrmann, N.I., Pasanen, J., Sharman, C. and Henry, D.A.
  https://doi.org/10.36334/modsim.2019.C1.thomas

Henrys, P.
- Uncertainty quantification in classification problems: A Bayesian approach for predicating the effects of further test sampling
  Phillipson, J., Blair, G.S. and Henrys, P.
  https://doi.org/10.36334/modsim.2019.B1.phillipson

Hepworth, A.
- Baselining the whole-of-force capability and capacity of the Australian Defence Force
  Peacock, J., Blumson, D., Mangalasinghe, J., Hepworth, A., Coutts, A. and Lo, E.H.S.
  https://doi.org/10.36334/modsim.2019.B3.peacock

Herrmann, N.I.
- Pasture API: A digital platform to support grazing management for southern Australia
  Thomas, D.T., Mitchell, P.J., Zurcher, E.J., Herrmann, N.I., Pasanen, J., Sharman, C. and Henry, D.A.
  https://doi.org/10.36334/modsim.2019.C1.thomas

Hetherton, L.
- Workspace for Industry 4.0
  Hetherton, L., Bolger, M., Zhang, Z., Oakes, N., Watkins, D. and Cleary, P.W.
  https://doi.org/10.36334/modsim.2019.D2.hetherton
- Translation of stranded IP to commercialisable software applications using Workspace
  Cleary, P.W., Hetherton, L., Thomas, D.G., Bolger, M. and Watkins, D.
  https://doi.org/10.36334/modsim.2019.D2.cleary
- Workspace – a Scientific Workflow System with commercial impact
  Oakes, N., Hetherton, L., Bolger, M., Thomas, D.G., Rucinski, C., Watkins, D. and Cleary, P.W.
  https://doi.org/10.36334/modsim.2019.D2.oakes
- An integrated optimisation functionality for Workspace
  Potter, D., Hetherton, L., Thomas, D.G., McNaughton, R. and Watkins, D.
  https://doi.org/10.36334/modsim.2019.D2.potter

Hewa, G.A.
- Simulation of the suppressive effect of zinc on cyanobacteria in paper mill wastewater
  Burger, H., Awad, J., Hewa, G.A. and van Leeuwen, J.
  https://doi.org/10.36334/modsim.2019.K15.burger

Hilton, J.E.
- Wind-terrain effects on firebrand dynamics
  Hilton, J.E., Sharples, J.J., Garg, N., Rudman, M., Swedosh, W. and Commins, D.
  https://doi.org/10.36334/modsim.2019.H7.hilton
- Incorporating firebrands and spot fires into vorticity-driven wildfire behaviour models
  Hilton, J.E., Garg, N. and Sharples, J.J.
  https://doi.org/10.36334/modsim.2019.H7.hilton2

Ho, L.T.
- Investment location selection: Strategies for foreign direct investment in Vietnam
  Ho, L.T., Gan, C. and Hu, B.
  https://doi.org/10.36334/modsim.2019.E2.ho

Hope-O'Connor, A.J.
- Modelling feedlots using the MEDLI model framework
  Vieritz, A.M., Lowry, M.M., Sullivan, T.J., Atzeni, M.G., Hope-O'Connor, A.J. and Watts, P.J.
  https://doi.org/10.36334/modsim.2019.C1.vieritz

Hou, J.
- A global, near real-time system measuring river, lake, and reservoir dynamics
  Hou, J., Van Dijk, A.I.J.M. and Beck, H.E.
  https://doi.org/10.36334/modsim.2019.H5.houJ

Hsu, W.
- Risk tolerance, investment horizons and debt decisions
  Phung, T., Hsu, W., Naylor, M. and Young, M.
  https://doi.org/10.36334/modsim.2019.E5.phung

Hu, B.
- Investment location selection: Strategies for foreign direct investment in Vietnam
  Ho, L.T., Gan, C. and Hu, B.
  https://doi.org/10.36334/modsim.2019.E2.ho

Hu, L.
- Quantifying the contribution of multiple factors to land subsidence using artificial intelligence technology in the typical area of Beijing, China
  Cheng, R., Zhu, L., Li, H., Yu, J., Guo, L., Hu, L. and Li, Y.
  https://doi.org/10.36334/modsim.2019.K18.chengR

Hu, S.
- Evaporation rates for a coral island by field observation and simulation
  Han, S.S., Liu, S.X., Hu, S., Mo, X. and Song, X.
  https://doi.org/10.36334/modsim.2019.A4.han

Huang, C.L.
- Long-term vegetation change and its driving factors in a typical catchment of the Loess Plateau
  Huang, C.L. and Zhang, Y.Q.
  https://doi.org/10.36334/modsim.2019.K3.huangCL

Huang, J.
- Time-space dependency of utility-scale solar photovoltaic power generation in the National Electricity Market
  Huang, J.
  https://doi.org/10.36334/modsim.2019.F1.huangJ
- Improving solar power forecasting to reduce regulation Frequency Control Ancillary Services causer pay in the National Electricity Market
  Huang, J. and West, S.
  https://doi.org/10.36334/modsim.2019.F1.huangJ2

Huang, J.F.
- A pixel-based indicator of upland crop waterlogging using remote sensing soil moisture data
  Song, P.L., Huang, J.F. and Zhang, Y.Q.
  https://doi.org/10.36334/modsim.2019.K3.song

Huang, Z.
- 2D chaotic flow in competitive exothermic-endothermic reactions
  Huang, Z., Watt, S.D., Sidhu, H.S., McIntosh, A.C., Brindley, J., Jovanoski, Z. and Towers, I.N.
  https://doi.org/10.36334/modsim.2019.A5.huang

Hudson, I.L.
- A new Maxwell paired comparison model: application to a study of the effect of nicotine levels on cigarette brand choices
  Cheema, S.A., Hudson, I.L., Kifayat, T., Kalim-u-llah, Shafqat, M. and Hussain, A.
  https://doi.org/10.36334/modsim.2019.I4.cheema
- Copula modelling of agitation-sedation rating of ICU patients: towards monitoring and alerting tools
  Tursunalieva, A., Hudson, I.L. and Chase, J.G.
  https://doi.org/10.36334/modsim.2019.I4.tursunalieva
- Exploring the effects of linguistic and cultural similarities between interviewer and respondents' behavior in large scale surveys
  Cheema, S.A., Hudson, I.L., Aslam, Q., Shafqat, M., Kifayat, T. and Hussain, Z.
  https://doi.org/10.36334/modsim.2019.J9.cheema2
- Artificial Neural Networks & Random Forest Classification of druggable molecules and disease targets via scoring functions (SFs)
  Hudson, I.L., Leemaqz, S.Y. and Abell, A.D.
  https://doi.org/10.36334/modsim.2019.A1.hudson

Hulthen, A.
- Area-wide management guidelines for Sterile Insect Technique developed through interdisciplinary modelling research
  Parry, H., Capon, T., Clarke, A., Crisp, P., Hulthen, A., Kandulu, J., Kranz, B., Loechel, B., Mankad, A., Measham, P., Merkel, K., Murray, J., Reynolds, O., Schellhorn, N., Schwarzmueller, F., Tam, M., Tapsuwan, S., van Klinken, R., Whitten, S. and Willi
  https://doi.org/10.36334/modsim.2019.G3.parry

Hussain, A.
- A new Maxwell paired comparison model: application to a study of the effect of nicotine levels on cigarette brand choices
  Cheema, S.A., Hudson, I.L., Kifayat, T., Kalim-u-llah, Shafqat, M. and Hussain, A.
  https://doi.org/10.36334/modsim.2019.I4.cheema

Hussain, Z.
- Exploring the effects of linguistic and cultural similarities between interviewer and respondents' behavior in large scale surveys
  Cheema, S.A., Hudson, I.L., Aslam, Q., Shafqat, M., Kifayat, T. and Hussain, Z.
  https://doi.org/10.36334/modsim.2019.J9.cheema2

Hutley, L.
- Improving evapotranspiration estimation in pasture and native vegetation models using flux tower data, remote sensing and global optimisation
  Owens, J., Carter, J., Fraser, G., Cleverly, J., Hutley, L. and Barnetson, J.
  https://doi.org/10.36334/modsim.2019.C6.owens

Huxley, C.
- Urban flood modelling and planning system (UFMPS)
  Xu, W., Syme, B., Huxley, C. and Wu, W.
  https://doi.org/10.36334/modsim.2019.K2.xuW

Jackson, M.
- Modelling railway traffic management through multi-agent systems and reinforcement learning
  Bretas, A., Mendes, A., Chalup, S., Jackson, M., Clement, R. and Sanhueza, C.
  https://doi.org/10.36334/modsim.2019.B6.bretas

Jakeman, A.J.
- What do we need from catchment water quality models in Australia?
  Fu, B., Merritt, W.S., Cuddy, S.M., Jakeman, A.J., Croke, B., Weber, T., Hall, J., Waters, D.K. and Baker, D.
  https://doi.org/10.36334/modsim.2019.K15.fuB
- Constructing customized modeling guidelines: a Participatory Integrated Assessment and Modeling example
  Zare, F., Guillaume, J.H.A. and Jakeman, A.J.
  https://doi.org/10.36334/modsim.2019.K1.zare

Jin, H.
- Daily rainfall data infilling with a stochastic model
  Jin, H., Shao, Q. and Crimp, S.
  https://doi.org/10.36334/modsim.2019.H3.jin

Jorquera, E.
- Assessment of the impact of cyclones on the annual sediment budget in a Pacific Island catchment using a hydro-sedimentological model
  Jorquera, E., Rodriguez, J.F., Saco, P.M. and Timmermans, H.
  https://doi.org/10.36334/modsim.2019.K6.jorquera

Jovanoski, Z.
- Stochastic processes in a discrete model of ground combat
  McLennan-Smith, T.A., Nelson, M., Jovanoski, Z., Rodrigo, M. and Sidhu, H.S.
  https://doi.org/10.36334/modsim.2019.A5.mclennansmith
- Exploiting ecological non-trophic models in representations of warfare
  McLennan-Smith, T.A., Kalloniatis, A.C., Sidhu, H.S., Jovanoski, Z., Watt, S.D. and Towers, I.N.
  https://doi.org/10.36334/modsim.2019.B3.mclennan-smith
- Stochastic model for the ROS in a heterogeneous environment
  Jovanoski, Z., Sharples, J.J., Sidhu, H.S. and Towers, I.N.
  https://doi.org/10.36334/modsim.2019.H7.jovanoski
- 2D chaotic flow in competitive exothermic-endothermic reactions
  Huang, Z., Watt, S.D., Sidhu, H.S., McIntosh, A.C., Brindley, J., Jovanoski, Z. and Towers, I.N.
  https://doi.org/10.36334/modsim.2019.A5.huang

Juarez-Bourke, A.
- Science for Sustainability: Using Societal Metabolism Analysis to check the robustness of European Union policy narratives in the water, energy and food nexus
  Matthews, K.B., Waylen, K.A., Blackstock, K.L., Juarez-Bourke, A., Miller, D.G., Wardell-Johnson, D.H., Rivington, M. and Giampietro, M.
  https://doi.org/10.36334/modsim.2019.J5.matthews

Jusaitis, D.
- Simulation design and analysis to support decision making in the management of capability programs
  Jusaitis, D., Baddams, K., Sardesai, N. and Anderson, R.J.
  https://doi.org/10.36334/modsim.2019.B7.jusaitis

Kalim-u-llah
- A new Maxwell paired comparison model: application to a study of the effect of nicotine levels on cigarette brand choices
  Cheema, S.A., Hudson, I.L., Kifayat, T., Kalim-u-llah, Shafqat, M. and Hussain, A.
  https://doi.org/10.36334/modsim.2019.I4.cheema

Kalinowski, T.
- The network maintenance problem on an arc with uncapacitated repair
  Charkhgard, P., Kalinowski, T. and Waterer, H.
  https://doi.org/10.36334/modsim.2019.B6.charkhgard

Kallio, M.
- Downscaling runoff products using areal interpolation: a combined pycnophylactic-dasymetric method
  Kallio, M., Virkki, V., Guillaume, J.H.A. and Van Dijk, A.I.J.M.
  https://doi.org/10.36334/modsim.2019.K8.kallio

Kalloniatis, A.C.
- Exploiting ecological non-trophic models in representations of warfare
  McLennan-Smith, T.A., Kalloniatis, A.C., Sidhu, H.S., Jovanoski, Z., Watt, S.D. and Towers, I.N.
  https://doi.org/10.36334/modsim.2019.B3.mclennan-smith

Kanagawa, S.
- An improvement of jump diffusion model for Japan Nikkei 225 indexes and its application to estimating the stochastic volatility
  Kanagawa, S., Namekawa, M. and Shinkai, K.
  https://doi.org/10.36334/modsim.2019.E1.kanagawa
- Image recognition for vehicle traffic analysis at intersections
  Namekawa, M., Kanagawa, S. and Shinkai, K.
  https://doi.org/10.36334/modsim.2019.D5.namekawa

Kandulu, J.
- Area-wide management guidelines for Sterile Insect Technique developed through interdisciplinary modelling research
  Parry, H., Capon, T., Clarke, A., Crisp, P., Hulthen, A., Kandulu, J., Kranz, B., Loechel, B., Mankad, A., Measham, P., Merkel, K., Murray, J., Reynolds, O., Schellhorn, N., Schwarzmueller, F., Tam, M., Tapsuwan, S., van Klinken, R., Whitten, S. and Willi
  https://doi.org/10.36334/modsim.2019.G3.parry

Kapsis, M.
- Optimal partitioning of photovoltaic modules on a curved solar collector
  Kapsis, M., Albrecht, A.R. and Pudney, P.J.
  https://doi.org/10.36334/modsim.2019.A5.kapsis

Kapturczak, M.
- Modification of interval arithmetic in modeling uncertainty of boundary conditions in boundary value problems
  Kapturczak, M., Zieniuk, E. and Szerszeń, K.
  https://doi.org/10.36334/modsim.2019.A6.kapturczak

Kelly, L.
- Evolving behaviour trees for automated discovery of novel combat strategy in real-time strategy wargames
  Masek, M., Peng Lam, C., Kelly, L. and Wong, M.
  https://doi.org/10.36334/modsim.2019.B4.masek

Kernot, D.
- An embodied cognition classifier of human emotion and senses
  Kernot, D.
  https://doi.org/10.36334/modsim.2019.B4.kernot

Khaembah, E.N.
- Dynamic simulation of crop rotations to evaluate the impact of different nitrogen management strategies on water quality in Southland, New Zealand
  Khaembah, E.N., Cichota, R., Zyskowski, R. and Vogeler, I.
  https://doi.org/10.36334/modsim.2019.C1.khaembah

Khamaysa Hajaya, M.
- Detection of dairy cattle Mastitis: modelling of milking features using deep neural networks
  Khamaysa Hajaya, M., Samarasinghe, S., Kulasiri, D. and Lopez Benavides, M.
  https://doi.org/10.36334/modsim.2019.A1.khamaysahajaya

Khatami, M.
- A simple heuristic for the coupled task scheduling problem
  Khatami, M. and Salehipour, A.
  https://doi.org/10.36334/modsim.2019.B6.khatami

Khennane, A.
- Evaluation of P-Delta instability in hardening oscillators using dynamical systems approach
  Pathak, S., Watt, S.D., Khennane, A. and Al-Deen, S.
  https://doi.org/10.36334/modsim.2019.A5.pathak

Kibria, G.
- Assessment of hydrological stationarity of the Border Rivers catchment
  Raut, A.K., Kibria, G., Nandakumar, N. and Maheswaran, S.
  https://doi.org/10.36334/modsim.2019.K7.raut

Kiem, A.S.
- Revisiting the Australian/New Zealand Standard for Wind Actions (AS/NZS 1170.2:2011): Do current wind standards sufficiently capture local wind climates?
  Magee, A.D. and Kiem, A.S.
  https://doi.org/10.36334/modsim.2019.H8.magee

Kifayat, T.
- Exploring the effects of linguistic and cultural similarities between interviewer and respondents' behavior in large scale surveys
  Cheema, S.A., Hudson, I.L., Aslam, Q., Shafqat, M., Kifayat, T. and Hussain, Z.
  https://doi.org/10.36334/modsim.2019.J9.cheema2
- A new Maxwell paired comparison model: application to a study of the effect of nicotine levels on cigarette brand choices
  Cheema, S.A., Hudson, I.L., Kifayat, T., Kalim-u-llah, Shafqat, M. and Hussain, A.
  https://doi.org/10.36334/modsim.2019.I4.cheema

Kirono, D.G.C.
- Projections of water futures for Australia: an update
  Zheng, H., Chiew, F.H.S., Potter, N.J. and Kirono, D.G.C.
  https://doi.org/10.36334/modsim.2019.K7.zhengH

Koh, E.L.
- Flow balancing in a wastewater network by optimising storage in pumping stations
  Burt, C., Candy, B., D'Arpa, R., Koh, E.L., Meng, P., Salamone, D., Sondalini, T. and Taylor, P.
  https://doi.org/10.36334/modsim.2019.B6.burt

Konishi, Y.
- Development of an Atmosphere-Ocean-Geosphere-Coupled Climate Model and its application to the Kanto plain, Japan
  Vuillaume, J.F., Fukazawa, S., Goto, K., Hazart, A., Konishi, Y., Onishi, R., Sugiyama, T., Tada, K., Tawara, Y., Tosaka, H. and Takahashi, K.
  https://doi.org/10.36334/modsim.2019.K9.vuillaume

Korb, K.B.
- Bayesian network meta-models from combat simulation for Defence decision analysis
  Shahzad, A., Mascaro, S., Cao, T. and Korb, K.B.
  https://doi.org/10.36334/modsim.2019.B8.shahzad

Kranz, B.
- Area-wide management guidelines for Sterile Insect Technique developed through interdisciplinary modelling research
  Parry, H., Capon, T., Clarke, A., Crisp, P., Hulthen, A., Kandulu, J., Kranz, B., Loechel, B., Mankad, A., Measham, P., Merkel, K., Murray, J., Reynolds, O., Schellhorn, N., Schwarzmueller, F., Tam, M., Tapsuwan, S., van Klinken, R., Whitten, S. and Willi
  https://doi.org/10.36334/modsim.2019.G3.parry

Kreuger, K.
- “Stopping before you start”: Reducing and preventing initiation of tobacco use in the ACT
  Freebairn, L., Kreuger, K., Watson, C., Yang, O., Prodan, A., Graham, K.I., Draper, G., McDonnell, G., Nixon, E. and Atkinson, J-A.
  https://doi.org/10.36334/modsim.2019.I2.freebairn

Kroese, D.P.
- Inventory control with partially observable states
  Wang, E., Kurniawati, H. and Kroese, D.P.
  https://doi.org/10.36334/modsim.2019.B1.wang

Kulasiri, D.
- An improved stochastic modelling framework for biological networks
  Altarawni, I., Samarasinghe, S. and Kulasiri, D.
  https://doi.org/10.36334/modsim.2019.A1.altarawni
- Role of Wiener chaos expansion in modelling randomness for groundwater contamination flow
  Tiwari, P., Kulasiri, D. and Samarasinghe, S.
  https://doi.org/10.36334/modsim.2019.K14.tiwari
- Detection of dairy cattle Mastitis: modelling of milking features using deep neural networks
  Khamaysa Hajaya, M., Samarasinghe, S., Kulasiri, D. and Lopez Benavides, M.
  https://doi.org/10.36334/modsim.2019.A1.khamaysahajaya

Kuller, M.
- Future Water: Comparing and contrasting approaches to predicting water quality
  Guo, D., Lintern, A., Prodanovic, V., Kuller, M., Bach, P.M., Deletic, A., Shi, B., McCarthy, D., Ryu, D., Webb, J.A., Liu, S. and Western, A.W.
  https://doi.org/10.36334/modsim.2019.K15.guo

Kumari, N.
- The spatio-temporal NDVI analysis for two different Australian catchments
  Kumari, N., Yetemen, O., Srivastava, A., Rodriguez, J.F. and Saco, P.M.
  https://doi.org/10.36334/modsim.2019.K3.kumari
- Aspect-controlled spatial and temporal soil moisture patterns across three different latitudes
  Srivastava, A., Yetemen, O., Kumari, N. and Saco, P.M.
  https://doi.org/10.36334/modsim.2019.K6.srivastava
- Applying rainfall ensembles to explore hydrological uncertainty
  Kumari, N., Acharya, S.C., Renzullo, L.J. and Yetemen, O.
  https://doi.org/10.36334/modsim.2019.K14.kumari2

Kurniawati, H.
- Inventory control with partially observable states
  Wang, E., Kurniawati, H. and Kroese, D.P.
  https://doi.org/10.36334/modsim.2019.B1.wang

Supporting evidence-based decision making: the role of modelling and simulation