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

N

• Nahar, J.
  • Exploring post 2011–12 drought in the Murray–Darling Basin
    

    Nahar, J., Watson, M., Edraki, M., Walker, M. and George, B.
    https://doi.org/10.36334/modsim.2019.K22.nahar

• Nailwal, K.K.
  • 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

• Nakagiri, N.
  • 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

• Namekawa, M.
  • 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

• Nandakumar, N.
  • 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

• Natsume, T.
  • Particle based droplet simulation in liquid-liquid two-phase flow
    

    Natsume, T., Oishi, M., Oshima, M. and Mukai, N.
    https://doi.org/10.36334/modsim.2019.I3.natsume

• Naylor, M.
  • 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

• Nelson, M.
  • 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

• Nelson, M.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

• Nesbitt, K.V.
  • 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

• Nesterova, N.
  • Understanding hydrological processes at a remote mountainous continuous permafrost watershed in a changing environment
    

    Nesterova, N., Makarieva, O. and Post, D.A.
    https://doi.org/10.36334/modsim.2019.K28.nesterova

• Ng, T.L.
  • Estimating Lake Mulwala diversions for calibration of a semi-distributed hydrologic model of the Murray River
    

    Ng, T.L., Robertson, D.E. and Bennett, J.C.
    https://doi.org/10.36334/modsim.2019.K13.ngTL

• Nguyen, H.H.
  • 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

• Nguyen, M.-T.
  • Aggregation of dependent criteria in multicriteria decision making problems by means of capacities
    

    Beliakov, G., Bowsell, S., Cao, T., Dazeley, R., Mak-Hau, V., Nguyen, M.-T., Wilkin, T. and Yearwood, J.
    https://doi.org/10.36334/modsim.2019.B3.beliakov

• Niven, R.K.
  • Fishing for the unknown unknowns: A Bayesian perspective
    

    Niven, R.K.
    https://doi.org/10.36334/modsim.2019.B2.niven

• Nixon, E.
  • “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

• North, L.
  • 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

• Nowina-Krowicki, M.
  • Narrative visualisation of simulations: Finding the stories within the data
    

    Walsh, J., Cunningham, A., Wark, S., Nowina-Krowicki, M. and Thomas, B.H.
    https://doi.org/10.36334/modsim.2019.B3.walsh

  • Provenance narratives and visualisation to support understanding and trust
    

    Cunningham, A., Nowina-Krowicki, M., Walsh, J., Chung, J., Wark, S. and Thomas, B.H.
    https://doi.org/10.36334/modsim.2019.D1.cunningham

  • 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

O

• Oakes, N.
  • 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

  • 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

• O'Brien, K.R.
  • 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

• Ogie, R.I.
  • Meta-moderation for crowdsourced disaster management and urban participatory applications
    

    Ogie, R.I., Amirghasemi, M. and Perez, P.
    https://doi.org/10.36334/modsim.2019.F4.ogie

• Oishi, M.
  • Particle based droplet simulation in liquid-liquid two-phase flow
    

    Natsume, T., Oishi, M., Oshima, M. and Mukai, N.
    https://doi.org/10.36334/modsim.2019.I3.natsume

• Oliva, F.
  • A multi-scenario Decision Support System for real-time operation of over-year multi-reservoir systems 2. DSS simulation
    

    Arena, C., Cannarozzo, M., Oliva, F. and Mazzola, M.R.
    https://doi.org/10.36334/modsim.2019.K9.arena2

  • A multi-scenario Decision Support System for real-time operation of over-year multi-reservoir systems 1. Model structure
    

    Arena, C., Cannarozzo, M., Oliva, F. and Mazzola, M.R.
    https://doi.org/10.36334/modsim.2019.K9.arena

• Oliver, D.
  • An assessment of the accuracy of military workforce models
    

    Oliver, D.
    https://doi.org/10.36334/modsim.2019.B8.oliver

• Onishi, R.
  • 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

• Oron, D.
  • 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

• Osbrough, S.L.
  • The role of climate drift in seasonal forecasts
    

    Osbrough, S.L., Frederiksen, J.S. and Frederiksen, C.S.
    https://doi.org/10.36334/modsim.2019.H8.osbrough

• Oshima, M.
  • Particle based droplet simulation in liquid-liquid two-phase flow
    

    Natsume, T., Oishi, M., Oshima, M. and Mukai, N.
    https://doi.org/10.36334/modsim.2019.I3.natsume

• Ottmann, D.
  • 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

• Owens, J.
  • 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

P

• Parry, H.
  • 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

• Pasanen, J.
  • 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

• Pathak, S.
  • 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

• Peacock, J.
  • 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

• Peng Lam, C.
  • 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

• Penman, T.
  • Quantifying dynamic fire behaviour phenomena using Unmanned Aerial Vehicle technology
    

    Filkov, A., Cirulis, B. and Penman, T.
    https://doi.org/10.36334/modsim.2019.H7.filkov

• Pérez, L.
  • 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

• Perez, P.
  • Hydrogen as a future fuel, challenges and opportunities: An overview of modelling approaches
    

    Grozev, G., Ramezani, F., Perez, P., Whetton, S. and Young, M.D.
    https://doi.org/10.36334/modsim.2019.F5.grozev

  • Meta-moderation for crowdsourced disaster management and urban participatory applications
    

    Ogie, R.I., Amirghasemi, M. and Perez, P.
    https://doi.org/10.36334/modsim.2019.F4.ogie

• Perez, T.
  • Bushfire emergency response simulation
    

    Bruggemann, T., Ford, J.J., White, G. and Perez, T.
    https://doi.org/10.36334/modsim.2019.A2.bruggemann2

  • Bushfire emergency response uncertainty quantification
    

    Bruggemann, T., Ford, J.J., White, G., Perez, T. and Power, W.
    https://doi.org/10.36334/modsim.2019.A2.bruggemann

• Pérez-Camaño, J.L.
  • 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

• Pezzaniti, D.
  • Irrigation water resource management: 'IW-QC2' software tool
    

    Awad, J., Pezzaniti, D., Vanderzalm, J., Esu, O.-O. and van Leeuwen, J.
    https://doi.org/10.36334/modsim.2019.K9.awad

• Pham, T.V.
  • 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

• Phan, T.D.
  • 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

• Phillipson, J.
  • 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

• Phung, T.
  • 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

• Phung, V.
  • 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

• Pipunic, R.
  • 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

• Post, D.A.
  • Understanding hydrological processes at a remote mountainous continuous permafrost watershed in a changing environment
    

    Nesterova, N., Makarieva, O. and Post, D.A.
    https://doi.org/10.36334/modsim.2019.K28.nesterova

• Potter, D.
  • 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

• Potter, N.J.
  • 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

• Power, W.
  • Bushfire emergency response uncertainty quantification
    

    Bruggemann, T., Ford, J.J., White, G., Perez, T. and Power, W.
    https://doi.org/10.36334/modsim.2019.A2.bruggemann

• Prakash, 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

• Prasanna, G.N.S.
  • Relational algebraic approaches to decision making under uncertainty
    

    Chandrababu, A., Aswal, A. and Prasanna, G.N.S.
    https://doi.org/10.36334/modsim.2019.B1.chandrababu

• Prodan, A.
  • “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

• Prodanovic, V.
  • 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

• Pudney, P.
  • Orienting solar panels to minimise power shortfall
    

    Rowe, K. and Pudney, P.
    https://doi.org/10.36334/modsim.2019.J2.rowe

• Pudney, P.J.
  • 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

Q

• Qiao, Z.
  • POMDPs for sustainable fishery management
    

    Filar, J.A., Qiao, Z. and Ye, N.
    https://doi.org/10.36334/modsim.2019.G2.filar

• Quinlan, R.
  • Predicting subsurface water temperature from sea surface temperature in the Great Barrier Reef
    

    Quinlan, R., Robson, B.J. and Benthuysen, J.
    https://doi.org/10.36334/modsim.2019.G1.quinlan

R

• Raharjo, G.P.
  • 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

• Rahman, J.
  • Synthesising multiple observations into annual environmental condition reports: the OzWALD system and Australia’s Environment Explorer
    

    Van Dijk, A.I.J.M. and Rahman, J.
    https://doi.org/10.36334/modsim.2019.J5.vandijk

• Ramezani, F.
  • Hydrogen as a future fuel, challenges and opportunities: An overview of modelling approaches
    

    Grozev, G., Ramezani, F., Perez, P., Whetton, S. and Young, M.D.
    https://doi.org/10.36334/modsim.2019.F5.grozev

• Rasheed, 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

• Raut, A.K.
  • 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

• Rawle, C.B.
  • 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

• Recknagel, F.
  • 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

• Renzullo, L.J.
  • Burn extent and severity mapping by spectral anomaly detection in the Landsat data cube
    

    Renzullo, L.J., Tian, S., Van Dijk, A.I.J.M., Larraondo, P.R., Yebra, M., Yuan, F. and Mueller, N.
    https://doi.org/10.36334/modsim.2019.H7.renzullo

  • 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

  • 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

• Reynolds, O.
  • 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

• Richmond, M.K.
  • 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

• Rivington, M.
  • 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

• Roberts, M.E.
  • The erosion of an ideal gully under steady state conditions
    

    Roberts, M.E.
    https://doi.org/10.36334/modsim.2019.G1.roberts

• Roberts, S.
  • 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

• Robertson, D.E.
  • Estimating Lake Mulwala diversions for calibration of a semi-distributed hydrologic model of the Murray River
    

    Ng, T.L., Robertson, D.E. and Bennett, J.C.
    https://doi.org/10.36334/modsim.2019.K13.ngTL

• Robson, B.J.
  • 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

  • Predicting subsurface water temperature from sea surface temperature in the Great Barrier Reef
    

    Quinlan, R., Robson, B.J. and Benthuysen, J.
    https://doi.org/10.36334/modsim.2019.G1.quinlan

• Rodrigo, M.
  • 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

• Rodriguez, J.F.
  • 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

  • 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

• Rogers, Z.
  • 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

• Roth, C.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

• Rowe, K.
  • Orienting solar panels to minimise power shortfall
    

    Rowe, K. and Pudney, P.
    https://doi.org/10.36334/modsim.2019.J2.rowe

• Rowling, S.J.
  • Multi-stock replenishment of naval vessels by specialist replenishment ships
    

    Rowling, S.J., Teo, M. and West, M.B.A.
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