School of Computing, Engineering & Digital Technologies

A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning

International, C. O. A. A. A.M.-A. S. 2. (Creator), Cimpeanu, T. (Creator) & Han, T. A. (Creator), Underline Science Inc., 1 Jan 2020

DOI: 10.48448/ebhd-gq04, https://underline.io/lecture/315-a-very-condensed-survey-and-critique-of-multiagent-deep-reinforcement-learning

Dataset

Lightweighting of Wishbone Finite Element Analysis

Shuxian, W. (Contributor), Perk Lin, C. (Contributor) & David, H. (Contributor), Institute of Fundamental Technological Research, 1 Jan 2020

DOI: 10.24423/engtrans.1069.20200211, https://doi.org/10.24423%2Fengtrans.1069.20200211

Dataset

Coprophilous fungal spores: NPPs for the study of past megaherbivores

Van Asperen, E. N. (Contributor), Perrotti, A. (Creator) & Baker, A. (Creator), Geological Society of London, 2020

DOI: 10.6084/m9.figshare.c.5240664.v1, https://geolsoc.figshare.com/collections/Coprophilous_fungal_spores_NPPs_for_the_study_of_past_megaherbivores/5240664/1

Dataset

Coprophilous fungal spores: non-pollen palynomorphs for the study of past megaherbivores

Van Asperen, E. N. (Contributor), Perrotti, A. (Creator) & Baker, A. (Creator), Geological Society of London, 2020

DOI: 10.6084/m9.figshare.c.5240664, https://geolsoc.figshare.com/collections/Coprophilous_fungal_spores_NPPs_for_the_study_of_past_megaherbivores/5240664

Dataset

X-ray computed tomography Dataset

Pak, T. (Creator), Lopes Archilha, N. (Creator), de Lima Luz Jr, L. F. (Creator), Tosco, T. (Creator), Rodrigues Rangel Rosa, P. (Creator) & Schubert Ruiz Costa, G. (Creator), figshare, 31 May 2019

DOI: 10.6084/m9.figshare.12053607.v1, https://figshare.com/articles/X-ray_computed_tomography_images/12053607/1

Dataset

NPI-006-Reconstructed

Pak, T. (Contributor), Archilha, N. L. (Creator), Mantovani, I. F. (Contributor), Moreira, A. C. (Creator) & Butler, I. B. (Creator), figshare, 1 Jan 2019

DOI: 10.6084/m9.figshare.6954650.v1, https://springernature.figshare.com/articles/NPI-006-Reconstructed/6954650/1

Dataset

of Multiplex methods provide effective integration of multi-omic data in genome-scale models

Angione, C. (Creator), Conway, M. (Creator) & Lió, P. (Contributor), figshare, 2019

DOI: 10.6084/m9.figshare.10035344, https://springernature.figshare.com/articles/of_Multiplex_methods_provide_effective_integration_of_multi-omic_data_in_genome-scale_models/10035344

Dataset

of Multiplex methods provide effective integration of multi-omic data in genome-scale models

Angione, C. (Creator), Conway, M. (Creator) & Lió, P. (Contributor), figshare, 2019

DOI: 10.6084/m9.figshare.10035347, https://springernature.figshare.com/articles/of_Multiplex_methods_provide_effective_integration_of_multi-omic_data_in_genome-scale_models/10035347

Dataset

of Multiplex methods provide effective integration of multi-omic data in genome-scale models

Angione, C. (Creator), Conway, M. (Creator) & Lió, P. (Contributor), figshare, 2019

DOI: 10.6084/m9.figshare.10035353.v1, https://springernature.figshare.com/articles/of_Multiplex_methods_provide_effective_integration_of_multi-omic_data_in_genome-scale_models/10035353/1

Dataset