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Showing results 1 to 10 of 2216 (Search time: 0.0 seconds).

Wind-Wise Automated Stability Analysis for Selection of Tower Crane and Location
  • Hebiba, Alaaeldin Magdy;
  • Bouferguene, Ahmed;
  • Moon, Sungkon;
  • Han, Sanghyeok
  • 2022-11-01
  • Journal of Construction Engineering and Management, Vol.148
  • American Society of Civil Engineers (ASCE)
Workload-Aware Scheduling Using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networksoa mark
  • 2023-01-01
  • IEEE Access, Vol.11, pp.16533-16548
  • Institute of Electrical and Electronics Engineers Inc.
Orchestrated Scheduling and Multi-Agent Deep Reinforcement Learning for Cloud-Assisted Multi-UAV Charging Systems
  • 2021-06-01
  • IEEE Transactions on Vehicular Technology, Vol.70, pp.5362-5377
  • Institute of Electrical and Electronics Engineers Inc.
Deep learning-based automated productivity monitoring for on-site module installation in off-site constructionoa mark
  • 2024-04-01
  • Developments in the Built Environment, Vol.18
  • Elsevier Ltd
Joint message-passing and convex optimization framework for energy-efficient surveillance UAV schedulingoa mark
  • 2020-09-01
  • Electronics (Switzerland), Vol.9, pp.1-20
  • MDPI AG
Partition layout inside a muffler integrated with a thermoelectric generator: Multi-physics analysis and optimal designoa mark
  • 2022-12-01
  • Journal of Low Frequency Noise Vibration and Active Control, Vol.41, pp.1478-1496
  • SAGE Publications Inc.
Deep-learning-based generative design for optimal silencer using backpropagation of artificial neural network model
  • 2024-10-01
  • Advanced Engineering Informatics, Vol.62
  • Elsevier Ltd
Deep-learning-based generative design for optimal reactive silencers
  • 2024-12-15
  • International Journal of Mechanical Sciences, Vol.284
  • Elsevier Ltd
A reformulated nonlinear model to solve the facility layout problem
  • Vázquez-Román, Richart;
  • Díaz-Ovalle, Christian O.;
  • Jung, Seungho;
  • Castillo-Borja, Florianne
  • 2019-04-03
  • Chemical Engineering Communications, Vol.206, pp.476-487
  • Taylor and Francis Ltd.
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