Advanced search Recent papers Author index Keyword index Browse by series Help Desk About

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
PDF papers
References

Hits 1 to 20 of 4796

Reformat results as: short   short into frame   detailed   detailed into frame  

Details Citation Select
100%; open Ng JMY, Khean N and Madden D (2019) Find in CUMINCAD Optimising image classification: Implementation of convolutional neural network algorithms to distinguish between plans and sections within the Architectural, Engineering and Construction (AEC) industry , Intelligent & Informed - 24th CAADRIA Conference, April, 2019, Victoria University of Wellington, pp. 795–804.
100%; open Ng, J M Y, Khean, N, Madden, D, Fabbri, A, Gardner, N, Haeusler, M H and Zavoleas, Y (2019) Find in CUMINCAD Optimising Image Classification - Implementation of Convolutional Neural Network Algorithms to Distinguish Between Plans and Sections within the Architectural, Engineering and Construction (AEC) Industry , Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2,, Wellington, New Zealand, pp. 795-804
100%; open Ng, J.M.Y., Nariddh, K., Madden, D., Fabbri, A., Gardner, N., Haeusler, M.H. and Zavoleas, Y. (2019) Find in CUMINCAD Optimising Image Classification , Proceedings of CAADRIA 2019, Wellington, New Zealand
75%; open Fragkia, V., Foged, I. W. & Pasold, A. (2021) Find in CUMINCAD Predictive Information Modeling: Machine Learning Strategies for Material Uncertainty , Technology|Architecture + Design, 5(2), 163–176. https://doi.org/10.1080/24751448.2021.1967057Grönquist, P., Wittel, F. K., & Rüggeberg, M. (2018). Modeling and design of thin bending wooden bilayers. PLOS ONE, 13(10), e0205607. https://doi.org/10.1371/journal.pone.0205607Grönquist, P., Wood, D., Hassani, M. M., Wittel, F. K., Menges, A., & Rüggeberg, M. (2019). Analysis of hygroscopic self-shaping wood at large scale for curved mass timber structures. Science Advances, 5(9), eaax1311. https://doi.org/10.1126/sciadv.aax1311Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973). Textural Features for Image Classification. IEEE Transactions on Systems, Man, and Cybernetics, 3(6), 610–621. https://doi.org/10.1109/TSMC.1973.4309314
75%; open Gavali, P. and Banu, J.S. (2019) Find in CUMINCAD Deep convolutional neural network for image classification on CUDA platform , Deep Learning and Parallel Computing Environment for Bioengineering Systems (pp. 99-122). Academic Press. https://doi.org/10.1016/B978-0-12-816718-2.00013-0Government Office for Science (2019). A time of unprecedented change the transport system. GfOS. Retrieved from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/780868/future_of_mobility_final.pdf
50%; open Ahti Kalervo, Juha Ylioinas, Markus Häikiö, Antti Karhu, and Juho Kannala (2019) Find in CUMINCAD CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis , ArXiv, April 3, 2019
50%; open Ahti Kalervo, Juha Ylioinas, Markus Häikiö, Antti Karhu, and Juho Kannala (2019) Find in CUMINCAD CubiCasa5K: A Dataset and an Improved Multi- Task Model for Floorplan Image Analysis , Image Analysis: 21st Scandinavian Conference, SCIA 2019. Norrköping, Sweden. 28–40
50%; open Alexander Craik, Yongtian He, and Jose L. Contreras-Vidal (2019) Find in CUMINCAD Deep learning for electroencephalogram (EEG) classification tasks: A Review , Journal of Neural Engineering 16 (3): 031001
50%; open Alidoost, F., Arefi, H., & Tombari, F. (2019) Find in CUMINCAD 2D image-to-3D model: Knowledge-based 3D building reconstruction (3DBR) using single aerial images and convolutional neural networks (CNNs) , Remote Sensing, 11(19), 2219
50%; open Alom, Md Zahangir, Chris Yakopcic, Mahmudul Hasan, Tarek Taha, and Vijayan Asari (2019) Find in CUMINCAD Recurrent Residual U-Net for Medical Image Segmentation , Journal of Medical Imaging 6 (1): 014006. https://doi.org/10.1117/1.JMI.6.1.014006
50%; open Alonso Rodríguez, M., Galván Desvaux, N., & Álvaro-Tordesillas, A. (2019) Find in CUMINCAD Makers of Atmospheres , The Image Beyond the Architecture. In C. L. Marcos (Ed.), Graphic Imprints (pp. 857–866). Springer
50%; open Asadi, K, Ramshankar, H, Noghabaei, M and Han, K (2019) Find in CUMINCAD Real-time image localization and registration with BIM using perspective alignment for indoor monitoring of construction , Journal of Computing in Civil Engineering, 33(5), pp. 1-15
50%; open Azambuja Varela, P and Sousa, JP (2019) Find in CUMINCAD Digital Expansion of Stereotomy - A Semantic Classification , Sousa, JP, Xavier, JP and Castro Henriques, G (Eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, Pp. 387-396
50%; open Baek, F, Ha, I and Kim, H (2019) Find in CUMINCAD Augmented reality system for facility management using image-based indoor localization , Automation in Construction, 99(August 2018), pp. 18-26
50%; open Bassier M, Van Genechten B and Vergauwen M (2019) Find in CUMINCAD Classification of sensor independent point cloud data of building objects using random forests , J Build Eng 2019; 21: 468–477
50%; open Behmanesh, H and BROWN, A. G (2019) Find in CUMINCAD Classification and Review of Software Applications in the Context of Urban Design Processes. , Proceedings of Caadria 2019
50%; open Bhate, D., Penick, C., Ferry, L., & Lee, C. (2019) Find in CUMINCAD Classification and Selection of Cellular Materials in Mechanical Design: Engineering and Biomimetic Approaches , Designs, 3(1), 19
50%; open Bloice MD, Roth PM and Holzinger A. (2019) Find in CUMINCAD Biomedical image augmentation using Augmentor , Bioinformatics; 35(21): 4522–4524
50%; open Borji, A. (2019) Find in CUMINCAD Pros and cons of gan evaluation measures , Computer Vision and Image Understanding, 179, 41-65
50%; open Borji, A. (2019) Find in CUMINCAD Pros and cons of gan evaluation measures , Computer vision and image understanding, 179, pp. 41-65

For more results click below:

this is page 0show page 1show page 2show page 3show page 4show page 5... show page 239HOMELOGIN (you are user _anon_452544 from group guest) CUMINCAD References Powered by SciX Open Publishing Services 1.002