„Generative Design“

Suchergebnisse

489 Treffer

• GENERATIVE DESIGN FOR PRECISION GEO-INTERVENTIONS
  Wen, R. ; Li, S.
• A METHOD FOR ROAD NETWORK GENERATION BASED ON TENSOR FIELD AND MULTI-AGENT
  Zhang, X. ; Shi, X.
• GENERATIVE DESIGN FOR WALKABLE CITIES: A CASE STUDY OF SOFIA
  Kumalasari, D. ; Koeva, M. N. ; Vahdatikhaki, F. ; Petrova-Antonova, D. ; Kuffer, M.
• Untersuchung künstlicher Intelligenz im Bereich der Konstruktion mit Generativer Design Software
  Babel, Norbert ; Metzger, Maximilian 2021 Hochschule für Angewandte Wissenschaften Landshut
• Generative design of stable semiconductor materials using deep learning and density functional theory
  Siriwardane, Edirisuriya M. Dilanga ; Zhao, Yong ; Perera, Indika ; Hu, Jianjun
• Temperature‐Robust Learned Image Recovery for Shallow‐Designed Imaging Systems
  Chen, Wei ; Qi, Bingyun ; Liu, Xu ; Li, Haifeng ; Hao, Xiang ; Peng, Yifan
• Generative modelling of laser beam welded Inconel 718 thin weldments using ANFIS based hybrid algorithm
  Thejasree, P. ; Narasimhamu, K. L. ; Natarajan, Manikandan ; Raju, Ramesh
• Conditional Generative Adversarial Networks for Inverse Design of Multifunctional Metasurfaces
  Kiani, Mehdi ; Kiani, Jalal ; Zolfaghari, Mahsa
• Heterogeneous catalyst design by generative adversarial network and first-principles based microkinetics
  Ishikawa, Atsushi
• Application of Generative Autoencoder in De Novo Molecular Design
  Blaschke, Thomas ; Olivecrona, Marcus ; Engkvist, Ola ; Bajorath, Jürgen ; Chen, Hongming
• SCGAN: stacking-based generative adversarial networks for multi-fidelity surrogate modeling
  Zhang, Chao ; Liu, Lixue ; Wang, Hao ; Song, Xueguan ; Tao, Dacheng
• Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models
  Shah, Milind ; Vakharia, Vinay ; Chaudhari, Rakesh ; Vora, Jay ; Pimenov, Danil Yu. ; Giasin, Khaled
• Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi‐Supervised Learning Strategy
  Ma, Wei ; Cheng, Feng ; Xu, Yihao ; Wen, Qinlong ; Liu, Yongmin
• The Dirksen Grammar: A Generative Description of Mies van der Rohe’s Courthouse Design Language
  Park, James ; Economou, Athanassios
• Generative magic and designing magic performances with constraint programming
  de Azevedo Silveira, Guilherme
• Metallic surface architectures realized through plastically deformed micro‐volumes
  Raducanu, D. ; Cojocaru, V.D. ; Raducanu, V.A. ; Cojocaru, M.E. ; Nocivin, A. ; Irimescu, R.E. ; Galbinasu, B.M.
• Daily power demand prediction for buildings at a large scale using a hybrid of physics-based model and generative adversarial network
  Tian, Chenlu ; Ye, Yunyang ; Lou, Yingli ; Zuo, Wangda ; Zhang, Guiqing ; Li, Chengdong
• Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices
  Tang, Yingheng ; Kojima, Keisuke ; Koike‐Akino, Toshiaki ; Wang, Ye ; Wu, Pengxiang ; Xie, Youye ; Tahersima, Mohammad H. ; Jha, Devesh K. ; Parsons, Kieran ; Qi, Minghao
• Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning
  Chen, Chun‐Teh ; Gu, Grace X.
• Deep generative models for designing single-cell RNA-sequencing experiments
  Treppner, Martin 2022