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

S

• Sabaghy, S.
  • Quantifying water volumes of ungauged lakes using optical satellite imagery and high-resolution LiDAR DEMs
    

    Bulovic, N., Sari, D.R. and Sabaghy, S.
    https://doi.org/10.36334/modsim.2019.H5.bulovic

• Saco, P.M.
  • 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

  • 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

  • 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

• Sahin, O.
  • Water and energy-based optimisation of a “MiniCity”: A system dynamics approach
    

    Suprun, E., de Oliveira, G., Bertone, E., Sahin, O., Ottmann, D. and Baumeister, J.
    https://doi.org/10.36334/modsim.2019.J2.suprun

  • An integrated approach for improved management of an island's scarce water resources under climate change and tourism development
    

    Phan, T.D., Sahin, O., Trinh, H.D., Dao, H.N., Mai, L.S., Pham, T.V., Do, T.P., Vu, T.M. and Capon, S.J.
    https://doi.org/10.36334/modsim.2019.J1.phan

• Salamone, D.
  • 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

• Salehipour, A.
  • A heuristic for the generalized due-date min-max earliness-tardiness problem
    

    Oron, D. and Salehipour, A.
    https://doi.org/10.36334/modsim.2019.B6.oron

  • A simple heuristic for the coupled task scheduling problem
    

    Khatami, M. and Salehipour, A.
    https://doi.org/10.36334/modsim.2019.B6.khatami

• Samarasinghe, S.
  • 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

• San José, R.
  • Air quality modelling of 2016 Madrid air pollution episode
    

    San José, R., Pérez-Camaño, J.L., Pérez, L. and Gonzalez-Barras, R.M.
    https://doi.org/10.36334/modsim.2019.G7.sanjose

• Sanhueza, C.
  • 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

• Sankaran, R.
  • Urban sensing and weather prediction: Can IOT devices be used to improve weather prediction in cities?
    

    Garg, N., Prakash, M., Thatcher, M. and Sankaran, R.
    https://doi.org/10.36334/modsim.2019.J4.garg

• Sanlaville, E.
  • Modelling a multi-modal logistic network with agents and dynamic graphs
    

    Démare, T., Balev, S., Bertelle, C., Dutot, A., Fournier, D. and Sanlaville, E.
    https://doi.org/10.36334/modsim.2019.B8.demare

• Sardesai, N.
  • 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

• Sari, D.R.
  • Quantifying water volumes of ungauged lakes using optical satellite imagery and high-resolution LiDAR DEMs
    

    Bulovic, N., Sari, D.R. and Sabaghy, S.
    https://doi.org/10.36334/modsim.2019.H5.bulovic

• Sato, K.
  • Two-patch model for contact process: migration extends the survival region of species
    

    Nakagiri, N., Sato, K., Yokoi, H. and Tainaka, K.
    https://doi.org/10.36334/modsim.2019.C4.nakagiri

• Saunders, M.
  • Towards Ecologically Relevant Targets: Impact of flow and sediment discharge on seagrass communities in the Great Barrier Reef
    

    Lambert, V., Adams, M.P., Collier, C., Carter, A., Saunders, M., Brodie, J., Bainbridge, Z., Rasheed, M., Turner, R. and O'Brien, K.R.
    https://doi.org/10.36334/modsim.2019.G1.lambert

• Scanes, P.
  • A collaborative review process supports better outcomes from environmental modelling
    

    Robson, B.J., Cuddy, S.M., Glamore, W., Rogers, Z., Ferguson, A.J.P. and Scanes, P.
    https://doi.org/10.36334/modsim.2019.K1.robson

• Schellhorn, N.
  • 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

• Schwarzmueller, F.
  • 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

• Senanayake, I.P.
  • 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

• Shafqat, M.
  • 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

• Shahzad, A.
  • 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

• Shao, M.Q.
  • 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

• Shao, Q.
  • Daily rainfall data infilling with a stochastic model
    

    Jin, H., Shao, Q. and Crimp, S.
    https://doi.org/10.36334/modsim.2019.H3.jin

• Sharma, S.
  • Multistage flow shop scheduling with bi-criteria objective using sequence dependent setup times
    

    Nailwal, K.K., Gupta, D. and Sharma, S.
    https://doi.org/10.36334/modsim.2019.A5.nailwal

• Sharman, C.
  • 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

• Sharples, J.J.
  • 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

  • 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

  • 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

  • Insights into the role of fire geometry and violent pyroconvection
    

    Badlan, R.L., Sharples, J.J., Evans, J.P. and McRae, R.H.D.
    https://doi.org/10.36334/modsim.2019.H7.badlan

  • Channel fire plume dynamics in sloping terrains
    

    Edgar, R.A., Sharples, J.J. and Sidhu, H.S.
    https://doi.org/10.36334/modsim.2019.H7.edgar

  • Evaluation of a simple rate of spread index applied to Canadian fuel types
    

    Sharples, J.J.
    https://doi.org/10.36334/modsim.2019.H7.sharples

• Sharples, W.
  • Assimilating satellite soil moisture retrievals to improve operational water balance modelling
    

    Tian, S., Renzullo, L.J., Pipunic, R., Sharples, W., Lerat, J. and Donnelly, C.
    https://doi.org/10.36334/modsim.2019.H6.tian

• Sheedy, T.
  • A vision for future hydrologic modelling to support Victoria's evolving water resource management
    

    Mariyapillai, S., Manandhar, U. and Sheedy, T.
    https://doi.org/10.36334/modsim.2019.K27.mariyapillai

• Shen, Y.
  • Exploring the relationship between spatiotemporal characteristics of snow cover and ENSO episodes in the Qinghai-Tibetan Plateau
    

    Zhang, C., Liu, F. and Shen, Y.
    https://doi.org/10.36334/modsim.2019.H1.zhangC

• Shi, B.
  • 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

• Shi, P.
  • New understanding of climate change on the Qinghai-Tibetan Plateau and its adapting counter-measures
    

    Shi, P., Ye, T. and Chen, Y.
    https://doi.org/10.36334/modsim.2019.H1.shi

• Shinkai, K.
  • 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

• Sidhu, H.S.
  • 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

  • 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

  • Channel fire plume dynamics in sloping terrains
    

    Edgar, R.A., Sharples, J.J. and Sidhu, H.S.
    https://doi.org/10.36334/modsim.2019.H7.edgar

  • 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

• Silburn, M.
  • Modelling nitrogen transport in sugar cane from soil to runoff from banded surface and buried fertiliser using HYDRUS2D and a post-processing algorithm
    

    Cook, F.J., Eyles, M., Cowie, B., Bosomworth, B. and Silburn, M.
    https://doi.org/10.36334/modsim.2019.K15.cook

• Singh, K.
  • 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

• Smart, J.C.R.
  • 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

• Smith, S.P.
  • Evaluating a virtual human storyteller for improved decision support
    

    Blackmore, K.L., Smith, S.P., Nesbitt, K.V., North, L., Wark, S. and Nowina-Krowicki, M.
    https://doi.org/10.36334/modsim.2019.B2.blackmore

• Smith, T.C.
  • Minimal requirement provenance capturing workflow systems for hydrological modelling
    

    Smith, T.C. and Davidson, A.J.
    https://doi.org/10.36334/modsim.2019.D1.smith

• Smolders, A.
  • Closing the loop on modelling's role in natural resource investment planning
    

    Marsh, N., Thompson, C., Stewart, M., Grice, V., Phung, V. and Smolders, A.
    https://doi.org/10.36334/modsim.2019.D3.marsh

• Sondalini, T.
  • 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

• Song, P.L.
  • 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

• Song, X.
  • 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

  • Temporal and spatial variation of precipitation in Nansha Islands, South China Sea
    

    Yao, D., Song, X. and Yang, L.
    https://doi.org/10.36334/modsim.2019.A4.yao

• Srivastava, A.
  • 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

  • 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

• Stanton, J.
  • Classifying the shape of qPCR expression data
    

    Whigham, P.A., Stanton, J., Mason, C., Rawle, C.B. and Macknight, M.
    https://doi.org/10.36334/modsim.2019.E2.whigham

• Stephens, A.
  • A novel approach to informing the future land force: Incorporating design thinking and concept, development and exploration methods
    

    Manning, C.J., Stephens, A. and Richmond, M.K.
    https://doi.org/10.36334/modsim.2019.B3.manning

• Stewart, J.B.
  • The collaboration model delivering land use information for Australia
    

    Stewart, J.B. and Mewett, J.L.
    https://doi.org/10.36334/modsim.2019.K1.stewart

• Stewart, M.
  • Closing the loop on modelling's role in natural resource investment planning
    

    Marsh, N., Thompson, C., Stewart, M., Grice, V., Phung, V. and Smolders, A.
    https://doi.org/10.36334/modsim.2019.D3.marsh

• Stockmann, U.
  • Using pedotransfer functions to improve the precision of spatially predicted available water capacity
    

    Austin, J.M., Stockmann, U. and Verburg, K.
    https://doi.org/10.36334/modsim.2019.C1.austin

• Stojanovski, E.
  • Evaluation of Mathematics teaching strategies in Australian High Schools
    

    Alzahrani, A.R. and Stojanovski, E.
    https://doi.org/10.36334/modsim.2019.J9.alzahrani

  • Correspondence analysis approach to examine the Nobel Prize
    

    Alhuzali, T., Stojanovski, E. and Beh, E.J.
    https://doi.org/10.36334/modsim.2019.B5.alhuzali

• Storey, I.D.
  • Stability test for semi-active suspensions with base disturbance
    

    Storey, I.D. and Bourmistrova, A.
    https://doi.org/10.36334/modsim.2019.A6.storey

• Sugiyama, T.
  • 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

• Sullivan, T.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

• Sultana, J.
  • Integrated approach for predicting impacts of future climate and land-use changes on macroinvertebrates in a Mediterranean catchment using GF, SWAT and HEA models
    

    Sultana, J., Recknagel, F., Nguyen, H.H. and Tibby, J.
    https://doi.org/10.36334/modsim.2019.G4.sultana

• Sun, X.F.
  • 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

• Suprun, E.
  • Water and energy-based optimisation of a “MiniCity”: A system dynamics approach
    

    Suprun, E., de Oliveira, G., Bertone, E., Sahin, O., Ottmann, D. and Baumeister, J.
    https://doi.org/10.36334/modsim.2019.J2.suprun

• Swedosh, W.
  • 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

• Syme, B.
  • 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

• Szerszeń, K.
  • 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

  • T-splines and Bézier extraction in modeling shape of boundary in Parametric Integral Equation System for 3D problems of linear elasticity
    

    Szerszeń, K. and Zieniuk, E.
    https://doi.org/10.36334/modsim.2019.A6.szerszen

T

• Tabatabai, M.
  • 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

• Tada, K.
  • 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

• Tainaka, K.
  • Two-patch model for contact process: migration extends the survival region of species
    

    Nakagiri, N., Sato, K., Yokoi, H. and Tainaka, K.
    https://doi.org/10.36334/modsim.2019.C4.nakagiri

• Takahashi, K.
  • 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

• Tam, M.
  • 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

• Tansuchat, R.
  • Contagion effect analysis of US to East Asia stock markets
    

    Tansuchat, R.
    https://doi.org/10.36334/modsim.2019.E3.tansuchat

• Tapsuwan, S.
  • 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

• Tawara, 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

• Taylor, P.
  • 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

• Teo, M.
  • Multi-stock replenishment of naval vessels by specialist replenishment ships
    

    Rowling, S.J., Teo, M. and West, M.B.A.
    https://doi.org/10.36334/modsim.2019.B2.rowling

• Thamwattana, N.
  • Modelling cell aggregation using a modified swarm model
    

    Georgiou, F., Thamwattana, N. and Lamichhane, B.P.
    https://doi.org/10.36334/modsim.2019.A1.georgiou

• Thatcher, M.
  • Urban sensing and weather prediction: Can IOT devices be used to improve weather prediction in cities?
    

    Garg, N., Prakash, M., Thatcher, M. and Sankaran, R.
    https://doi.org/10.36334/modsim.2019.J4.garg

• Thennadil, S.
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• Thomas, D.G.
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• Thomas, D.T.
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• Tian, S.
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• Tosaka, H.
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• Towers, I.N.
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