CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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50%; open Arens E, Zhang H and Huizenga C. (2006) Find in CUMINCAD Partial-and whole-body thermal sensation and comfort—Part II: non-uniform environmental conditions , J Therm Biol 2006; 31: 60–66

50%; open Arens E, Zhang H and Huizenga C. (2006) Find in CUMINCAD Partial-and whole-body thermal sensation and comfort—Part I: uniform environmental conditions , J Therm Biol 2006; 31: 53–59

50%; open Asaumi, H, Nishina, H, Kei, T, Masui, Y and Hashimoto, Y (1994) Find in CUMINCAD Effects of Foliage Plants on Thermal Environment and Comfort Inside Room - Experiment Analysis in Winter - , Architectural Institute of Japan Planning, Environment and Engineering, pp 39-46

50%; open Attia, S. and Carlucci, S. (2015) Find in CUMINCAD Impact of different thermal comfort models on zero energy residential buildings in hot climate , Energy and Buildings, 102, pp. 117-128

50%; open Auffenberg, F., Stein, S. and Rogers, A. (2015) Find in CUMINCAD A Personalised Thermal Comfort Model using Bayesian Network. , IJCAI 2015

50%; open Awbi, H.B. and Gan, G. (1994) Find in CUMINCAD Predicting air flow ande thermal comfort in offices , ASHRAE Journal, February, 17-21

50%; open B Ozarisoy (2022) Find in CUMINCAD Energy effectiveness of passive cooling design strategies to reduce the impact of long-term heatwaves on occupants’ thermal comfort in Europe: Climate change and mitigation , Journalof Cleaner Production 330 (Jan): 129675. https: //doi.org/10.1016/j

50%; open Bakmohammadi P and Noorzai E (2020) Find in CUMINCAD Optimization of the design of the primary school classrooms in terms of energy and daylight performance considering occupants’ thermal and visual comfort , Energy Reports 2020; 6: 1590–1607

50%; open Banerjee, S., & Chattopadhyay, S. (2020) Find in CUMINCAD A Meta-analytical Review of Outdoor Thermal Comfort Research: Applications, Gaps and a Framework to Assess Low-income Settlements in Indian Megacities , Urban Climate, 33, 1641. Available at: https://doi.org/https://doi.org/1.116/j.uclim.2

50%; open Berglund, L. (1997) Find in CUMINCAD Thermal and non-thermal effects of humidity on comfort , Journal of the Human-Environment System, 1(1), pp. 35-45

50%; open Bravo, G., & González, E. (2013) Find in CUMINCAD Thermal comfort in naturally ventilated spaces and under indirect evaporative passive cooling conditions in hot–humid climate , Energy and Buildings, (63), 79–86. Retrieved from http://www.sciencedirect.com/science/article/pii/S0378778813001758

50%; open Brik B, Esseghir M, Merghem-Boulahia L, et al (2022) Find in CUMINCAD Providing convenient indoor thermal comfort in real-time based on energy-efficiency IoT network , Energies 2022; 15: 808.

50%; open Bruse, M. (2009) Find in CUMINCAD Analyzing human outdoor thermal comfort and open space usage with the multi-agent system BOTworld , Proceedings of 7th International Conference on Urban Climate (ICUC-7), Yokohama, Japan, 29 June - 3 July

50%; open Bröde, P., Jendritzky, G., Fiala, D. and Havenith, G. (2010) Find in CUMINCAD The Universal Thermal Climate Index UTCI in Operational Use , Proceedings of Conference Adapting to Change: New Thinking on Comfort, 09-11 April 2010, pp. 1-6. Available At: http://utci.org/isb/documents/windsor_vers05.pdf

50%; open Buratti, C., Palladino, D. and Moretti, E. (2017) Find in CUMINCAD Prediction of Indoor Conditions And Thermal Comfort Using CFD Simulations: A Case Study Based On Experimental Data , Energy Procedia, 126, pp. 115-122

50%; open Cena, K. and R. de Dear (1998) Find in CUMINCAD Field Study of Occupant Comfort and Office Thermal Environments in a Hot-Arid Climate , Final Report ASHRAE RP-921. Institute of Environmental Science, Perth

50%; open Chaudhuri T, Soh YC, Li H, et al (2019) Find in CUMINCAD A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings , Appl Energ 2019; 248: 44–53.

50%; open Chegari, B., Tabaa, M., Simeu, E., Moutaouakkil, F., Medromi, H., (2021) Find in CUMINCAD Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms , Energyand Buildings, 239, 110839 https://doi.org/10.1016/j.enbuild.2021.110839

50%; open Chen, L and Ng, E (2011) Find in CUMINCAD Outdoor thermal comfort and outdoor activities: A review of research in the past decade , Elsevier, Cities 29, p. 118–125

50%; open Chen, X, Wang, Q and Srebric, J (2015) Find in CUMINCAD Model predictive control for indoor thermal comfort and energy optimization using occupant feedback , Energy and Buildings, 102, pp. 357-369

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