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• Building on solid foundations: Establishing criteria for e-learning development

  Blass, E. & Davis, A., 1 Jan 2003, In: Journal of Further and Higher Education. 27, 3, p. 227-245 19 p.

  Research output: Contribution to journal › Article › peer-review
  41 Citations (Scopus)

• Building Information Modelling project decision support framework

  Gu, N., Singh, V., London, K., Brankovic, L. & Taylor, C., 2008, Association of Researchers in Construction Management, ARCOM 2008 - Proceedings of the 24th Annual Conference. p. 665-674 10 p. (Association of Researchers in Construction Management, ARCOM 2008 - Proceedings of the 24th Annual Conference; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  9 Citations (Scopus)

• Building information modelling for facility management: Are we there yet?

  Edirisinghe, R., London, K. A., Kalutara, P. & Aranda-Mena, G., 2017, In: Engineering, Construction and Architectural Management. 24, 6, p. 1119-1154 36 p.

  Research output: Contribution to journal › Article › peer-review
  65 Citations (Scopus)

• Building Information Modelling: What Is in There for the Architects?

  Gu, N., Singh, V., London, K. & Brankovic, L., 2008, Proceedings of the 42nd Annual Conference of the Australian and New Zealand Architectural Science Association (ANZAScA 2008), University of Newcastle, Australia. p. 33-40

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

• Building Information Modeling, An issue of adoption and change management

  Gu, N., Singh, V., Taylor, C., London, K. & Brankovic, L., 2007, ICAN Conference 2007, Sydney, Australia..

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

• 'Building for the future?' Government and industry responses to the challenges of talent management in China following the GFC

  Nankervis, A. R., Apr 2013, In: Asia Pacific Business Review. 19, 2, p. 186-199 14 p.

  Research output: Contribution to journal › Article › peer-review
  12 Citations (Scopus)

• Building community through social partnerships around vocational education and training

  Seddon, T., Billet, S. & Vongalis-Macrow, A., 2002, Griffith University & Australian Academic Press, Brisbane, Qld. Griffith University & Australian Academic Press, Brisbane, Qld, p. 73-81 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  29 Citations (Scopus)

• Building community capacity for end of life: an investigation of community capacity and its implications for health-promoting palliative care in the Australian Capital Territory

  Mills, J., Rosenberg, J. P. & McInerney, F., 15 Mar 2015, In: Critical Public Health. 25, 2, p. 218-230 13 p.

  Research output: Contribution to journal › Article › peer-review
  21 Citations (Scopus)

• B-Type natriuretic peptide suppression of neutrophil superoxide generation: Mechanistic studies in normal subjects

  Liu, S., Ngo, D. T., Stewart, S., Horowitz, J. D. & Chirkov, Y. Y., 1 Oct 2014, In: Clinical and Experimental Pharmacology and Physiology. 41, 10, p. 739-743 5 p.

  Research output: Contribution to journal › Article › peer-review
  7 Citations (Scopus)

• Broadening the reach of cardiac rehabilitation to rural and remote Australia

  Dollard, J., Smith, J., Thompson, D. R. & Stewart, S., 1 Apr 2004, In: European Journal of Cardiovascular Nursing. 3, 1, p. 27-42 16 p.

  Research output: Contribution to journal › Article › peer-review
  25 Citations (Scopus)

• Bringing order to chaos: The case for integrated management of atrial fibrillation

  Stewart, S., 1 Dec 2017, In: Heart. 103, 24, p. 1928-1929 2 p.

  Research output: Contribution to journal › Editorial
  1 Citation (Scopus)

• Bridging the gap in heart failure prevention: Rationale and design of the Nurse-led Intervention for Less Chronic Heart Failure (NIL-CHF) Study

  Carrington, M. J. & Stewart, S., 1 Jan 2010, In: European Journal of Heart Failure. 12, 1, p. 82-88 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  16 Citations (Scopus)

• Breaking the silos: Integrated care for cancer and chronic conditions

  Cortis, L. J., Ward, P. R., McKinnon, R. A. & Koczwara, B., 1 Jan 2016, Cancer and Chronic Conditions: Addressing the Problem of Multimorbidity in Cancer Patients and Survivors. Springer Singapore, p. 287-313 27 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

• Brain correlates of experience-dependent changes in stimulus discrimination based on the amount and schedule of exposure

  Mundy, M. E., Downing, P. E., Honey, R. C., Singh, K. D., Graham, K. S. & Dwyer, D. M., 26 Jun 2014, In: PLoS ONE. 9, 6, e101011.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  4 Citations (Scopus)

• Boosting Moth- Flame Optimization Algorithm by Arithmetic Optimization Algorithm for Data Clustering

  Abualigah, L., Mirjalili, S., Otair, M., Sumari, P. & Elaziz, M. A., 1 Jan 2022, Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications. CRC Press, p. 209-238 30 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

• Boosted probabilistic neural network for IoT data classification

  Jan, T. & Sajeev, A. S. M., 26 Oct 2018, Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018. Institute of Electrical and Electronics Engineers Inc., p. 408-411 4 p. 8511925. (Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
  4 Citations (Scopus)

• Boosted Modified Probabilistic Neural Network (BMPNN) for network intrusion detection

  Tran, T. P. & Jan, T., 2006, International Joint Conference on Neural Networks 2006, IJCNN '06. p. 2354-2361 8 p. 1716408. (IEEE International Conference on Neural Networks - Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  10 Citations (Scopus)

• Book review: Fundamentals of Pharmacognosy and Phytotherapy

  Breakspear, I., 2005, In: Australian Journal of Medical Herbalism. 17, 2, p. 71-72

  Research output: Contribution to journal › Comment/debate

• BookLife Industry Reviews: Nostalgia Is Heartless

  Lahey, S., Sep 2021, In: Publishers Weekly Booklife Industry Reviews.

  Research output: Contribution to journal › Review article › peer-review

• Bone marrow lesions predict increase in knee cartilage defects and loss of cartilage volume in middle-aged women without knee pain over 2 years

  Wluka, A. E., Hanna, F., Davies-Tuck, M., Wang, Y., Bell, R. J., Davis, S. R., Adams, J. & Cicuttini, F. M., 1 Jun 2009, In: Annals of the Rheumatic Diseases. 68, 6, p. 850-855 6 p.

  Research output: Contribution to journal › Article › peer-review
  62 Citations (Scopus)

• Boat-generated acoustic target signal detection by use of an Adaptive Median CFAR and multi-frame integration algorithm

  Cheng, E. D., Piccardi, M. & Jan, T., 2005, 13th European Signal Processing Conference, EUSIPCO 2005. p. 13-16 4 p. (13th European Signal Processing Conference, EUSIPCO 2005).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

• B-MFO: A binary moth-flame optimization for feature selection from medical datasets

  Nadimi-Shahraki, M. H., Banaie-Dezfouli, M., Zamani, H., Taghian, S. & Mirjalili, S., Nov 2021, In: Computers. 10, 11, 136.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  43 Citations (Scopus)

• BMAL1 modulates ROS generation and insulin secretion in pancreatic β-cells: An effect possibly mediated via NOX2

  de Jesus, D. S., Bargi-Souza, P., Cruzat, V., Yechoor, V., Carpinelli, A. R. & Peliciari-Garcia, R. A., 15 Sep 2022, In: Molecular and Cellular Endocrinology. 555, 111725.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Blockchain Technology: Potential Applications for Public Sector E-Procurement and Project Management

  Khalfan, M., Azizi, N., Haass, O. & Maqsood, T., 2022.

  Research output: Contribution to conference › Paper

• Blockchains and Provenance: How a Technical System for Tracing Origins, Ownership and Authenticity Can Transform Social Trust

  Batista, D., Kim, H., Lemieux, V., Stancic, H. & Unnithan, C., 5 Jan 2021, Provenance and trust can be seen as closely related concepts. This chapter explores the use of blockchain technology to trace provenance, taking as a framework the “taxonomy of trust” derived from the discipline of archival science. After considering the taxonomy’s three major requirements for trustworthy records—accuracy, reliability, and authenticity—the authors argue that tracing and documenting the provenance of data and records are at the nexus of how blockchains can be used to transform social trust, and that blockchain offers the potential to authenticate digital records. But if the provenance of digital objects is to be authenticated and trusted over time, blockchain systems must be designed with a view to the long-term preservation of the provenance information that such systems convey. The chapter concludes with a review of two “real world” use cases: the tracing of health data provenance using blockchain, and the authentication of assets in the world of banking and finance. Feng C. (ed.). 1 ed. Springer, Cham: Springer Science and Business Media Deutschland GmbH, p. 111-128 17 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

• Blockchain in Global Health: An Appraisal of Current and Future Applications

  Unnithan, C., Lemieux, V., Anema, A. & Broughton, A., 1 Jan 2020, Essentials of Blockchain Technology. Li, K-C., Chen, X., Jiang, H. & Bertino, E. (eds.). USA: Taylor and Francis, p. 189-202

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

• Blending Environmental Management and Service Quality in Five Star Hotels: A Conceptual Model Design

  Scerri, M. & Lovell, G., 2011, CAUTHE National Conference: Tourism: Creating a Brilliant Blend. University of South Australia

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

• Blended Teaching Practice: hyperbole, heuristics and holding patterns

  Aeschliman, C., 20 Sep 2021, 332 p.

  Research output: Types of Thesis › Doctoral Thesis

  Open Access

• Black on Brown: Research Paradoxes for Black Scholars Working in Ethnic Communities

  Khoo, C. & Adeyinka-Ojo, S., 2018, Asian Qualitative Research in Tourism. p. 255–270

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

• Black hole algorithm: A comprehensive survey

  Abualigah, L., Elaziz, M. A., Sumari, P., Khasawneh, A. M., Alshinwan, M., Mirjalili, S., Shehab, M., Abuaddous, H. Y. & Gandomi, A. H., 2022, (Accepted/In press) In: Applied Intelligence.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Black cohosh

  Breakspear, I., 2006, In: Australian Journal of Medical Herbalism. 18, 1, p. 4 1 p.

  Research output: Contribution to journal › Comment/debate

• Bittersweet? Urban proximity and wine tourism in the Swan Valley Region

  Soontiens, W., Dayaram, K., Burgess, J. & Grimstad, S., Oct 2018, In: Tourism Management Perspectives. 28, p. 105-112 8 p.

  Research output: Contribution to journal › Article › peer-review
  6 Citations (Scopus)

• Biophysics of human anatomy and physiology—a Special Issue in honor of Prof. Cristobal dos Remedios on the occasion of his 80^th birthday

  Hall, D., Li, A. & Cooke, R., 1 Aug 2020, In: Biophysical Reviews. 12, 4, p. 731-739 9 p.

  Research output: Contribution to journal › Editorial

  Open Access
  4 Citations (Scopus)

• Biomedical Beliefs Explain the Clinical Decisions Made by Exercise-Based Practitioners for People With Chronic Low Back Pain

  Gibbs, M. T., Morrison, N. M. V. & Marshall, P. W. M., 15 Jan 2021, In: Spine. 46, 2, p. 114-121 8 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Biogeography-based optimisation with chaos

  Saremi, S., Mirjalili, S. & Lewis, A., 1 Sep 2014, In: Neural Computing and Applications. 25, 5, p. 1077-1097 21 p.

  Research output: Contribution to journal › Article › peer-review
  229 Citations (Scopus)

• Biogeography-based optimisation

  Mirjalili, S., 1 Jan 2019, Studies in Computational Intelligence. 1 ed. Springer, Cham: Springer Verlag, p. 57-72 16 p. (Studies in Computational Intelligence; vol. 780).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
  18 Citations (Scopus)

• Binary Starling Murmuration Optimizer Algorithm to Select Effective Features from Medical Data

  Nadimi-Shahraki, M. H., Asghari Varzaneh, Z., Zamani, H. & Mirjalili, S., Jan 2023, In: Applied Sciences (Switzerland). 13, 1, 564.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Binary Simulated Normal Distribution Optimizer for feature selection: Theory and application in COVID-19 datasets

  Ahmed, S., Sheikh, K. H., Mirjalili, S. & Sarkar, R., 15 Aug 2022, In: Expert Systems with Applications. 200, 116834.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  6 Citations (Scopus)

• Binary optimization using hybrid particle swarm optimization and gravitational search algorithm

  Mirjalili, S., Wang, G. G. & Coelho, L. D. S., 14 Oct 2014, In: Neural Computing and Applications. 25, 6, p. 1423-1435 13 p.

  Research output: Contribution to journal › Article › peer-review
  146 Citations (Scopus)

• Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection

  Al-Tashi, Q., Abdul Kadir, S. J., Rais, H. M., Mirjalili, S. & Alhussian, H., 1 Jan 2019, In: IEEE Access. 7, p. 39496-39508 13 p., 8672550.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  230 Citations (Scopus)

• Binary multi-verse optimization algorithm for global optimization and discrete problems

  Al-Madi, N., Faris, H. & Mirjalili, S., 1 Dec 2019, In: International Journal of Machine Learning and Cybernetics. 10, 12, p. 3445-3465 21 p.

  Research output: Contribution to journal › Article › peer-review
  48 Citations (Scopus)

• Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification

  Al-Tashi, Q., Abdulkadir, S. J., Rais, H. M., Mirjalili, S., Alhussian, H., Ragab, M. G. & Alqushaibi, A., 2020, In: IEEE Access. 8, p. 106247-106263 17 p., 9108264.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  47 Citations (Scopus)

• Binary Grey Wolf Optimizer with Mutation and Adaptive K-nearest Neighbour for Feature Selection in Parkinson's Disease Diagnosis

  Ramasamy Rajammal, R., Mirjalili, S., Ekambaram, G. & Palanisamy, N., 21 Jun 2022, In: Knowledge-Based Systems. 246, 108701.

  Research output: Contribution to journal › Article › peer-review
  7 Citations (Scopus)

• Binary grasshopper optimisation algorithm approaches for feature selection problems

  Mafarja, M., Aljarah, I., Faris, H., Hammouri, A. I., Al-Zoubi, A. M. & Mirjalili, S., 1 Mar 2019, In: Expert Systems with Applications. 117, p. 267-286 20 p.

  Research output: Contribution to journal › Article › peer-review
  268 Citations (Scopus)

• Binary equilibrium optimizer: Theory and application in building optimal control problems

  Faramarzi, A., Mirjalili, S. & Heidarinejad, M., 15 Dec 2022, In: Energy and Buildings. 277, 112503.

  Research output: Contribution to journal › Article › peer-review

• Binary dragonfly optimization for feature selection using time-varying transfer functions

  Mafarja, M., Aljarah, I., Heidari, A. A., Faris, H., Fournier-Viger, P., Li, X. & Mirjalili, S., 1 Dec 2018, In: Knowledge-Based Systems. 161, p. 185-204 20 p.

  Research output: Contribution to journal › Article › peer-review
  264 Citations (Scopus)

• Binary Dragonfly Algorithm for Feature Selection

  Mafarja, M. M., Eleyan, D., Jaber, I., Hammouri, A. & Mirjalili, S., 8 Jan 2018, Proceedings - 2017 International Conference on New Trends in Computing Sciences, ICTCS 2017. Awajan, A. & Shaout, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 12-17 6 p. (Proceedings - 2017 International Conference on New Trends in Computing Sciences, ICTCS 2017; vol. 2018-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
  138 Citations (Scopus)

• Binary bat algorithm

  Mirjalili, S., Mirjalili, S. M. & Yang, X. S., 1 Jan 2014, In: Neural Computing and Applications. 25, 3-4, p. 663-681 19 p.

  Research output: Contribution to journal › Article › peer-review
  468 Citations (Scopus)

• Binary Aquila Optimizer for Selecting Effective Features from Medical Data: A COVID-19 Case Study

  Nadimi-Shahraki, M. H., Taghian, S., Mirjalili, S. & Abualigah, L., 2022, In: Mathematics. 10, 11

  Research output: Contribution to journal › Article › peer-review
  6 Citations (Scopus)

• Binary Approaches of Quantum-Based Avian Navigation Optimizer to Select Effective Features from High-Dimensional Medical Data

  Nadimi-Shahraki, M. H., Fatahi, A., Zamani, H. & Mirjalili, S., Aug 2022, In: Mathematics. 10, 15, 2770.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  5 Citations (Scopus)