„Learning Control“

Suchergebnisse

9.512 Treffer

• Deep introspective SLAM: deep reinforcement learning based approach to avoid tracking failure in visual SLAM
  Naveed, Kanwal ; Anjum, Muhammad Latif ; Hussain, Wajahat ; Lee, Donghwan
• A deep learning-based approach for electrical equipment remaining useful life prediction
  Fu, Huibin ; Liu, Ying
• Applying a deep residual network coupling with transfer learning for recyclable waste sorting
  Lin, Kunsen ; Zhao, Youcai ; Gao, Xiaofeng ; Zhang, Meilan ; Zhao, Chunlong ; Peng, Lu ; Zhang, Qian ; Zhou, Tao
• A machine learning framework for providing data integrity and confidentiality for sensitive data cloud applications
  Narayanan, Eswara ; Muthukumar, B.
• A Stochastic Subgradient Method for Distributionally Robust Non-convex and Non-smooth Learning
  Gürbüzbalaban, Mert ; Ruszczyński, Andrzej ; Zhu, Landi
• Dual transfer learning with generative filtering model for multiobjective multitasking optimization
  Dang, Qianlong ; Gao, Weifeng ; Gong, Maoguo
• Forecasting of non-accidental, cardiovascular, and respiratory mortality with environmental exposures adopting machine learning approaches
  Lee, Woojoo ; Lim, Youn-Hee ; Ha, Eunhee ; Kim, Yoenjin ; Lee, Won Kyung
• Efficient deep learning algorithms for securing Industrial Control Systems from cyberattacks
  Potluri, Sasanka ; Diedrich, Christian ; Wendemuth, Andreas 2021 Universitätsbibliothek Otto-von-Guericke-Universität
• ShadowPainter: Active Learning Enabled Robotic Painting through Visual Measurement and Reproduction of the Artistic Creation Process
  Guo, Chao ; Bai, Tianxiang ; Wang, Xiao ; Zhang, Xiangyu ; Lu, Yue ; Dai, Xingyuan ; Wang, Fei-Yue
• Deep learning for detecting herbicide weed control spectrum in turfgrass
  Jin, Xiaojun ; Bagavathiannan, Muthukumar ; Maity, Aniruddha ; Chen, Yong ; Yu, Jialin
• Physical-Parameter-Free Learning of Inverse Dynamics for Multi-DOF Industrial Robots via Sparsity and Feature Learning
  Yu, Chenglong ; Li, Zhiqi ; Yang, Dapeng ; Liu, Hong
• Deep learning as a novel method for endoscopic diagnosis of chronic atrophic gastritis: a prospective nested case–control study
  Zhao, Quchuan ; Jia, Qing ; Chi, Tianyu
• Modeling and PID control of quadrotor UAV based on machine learning
  Zhou, Lirong ; Pljonkin, Anton ; Singh, Pradeep Kumar
• Perceived positive social interdependence in online versus face-to-face team-based learning styles of collaborative learning: a randomized, controlled, mixed-methods study
  Shimizu, Ikuo ; Matsuyama, Yasushi ; Duvivier, Robbert ; Vleuten, Cees van der
• State-of-the-Art Review of Machine Learning Applications in Additive Manufacturing; from Design to Manufacturing and Property Control
  Sarkon, Garshasp Keyvan ; Safaei, Babak ; Kenevisi, Mohammad Saleh ; Arman, Samaneh ; Zeeshan, Qasim
• An Eye State Recognition System Using Transfer Learning: AlexNet-Based Deep Convolutional Neural Network
  Kayadibi, Ismail ; Güraksın, Gür Emre ; Ergün, Uçman ; Özmen Süzme, Nurgül
• Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection
  Rjoub, Gaith ; Wahab, Omar Abdel ; Bentahar, Jamal ; Cohen, Robin ; Bataineh, Ahmed Saleh
• Perirhinal feedback input controls neocortical memory formation via layer 1
  Shin, Jiyun 2021 Humboldt-Universität zu Berlin
• Comparing the effectiveness of a group-directed video instruction versus instructor-led traditional classroom instruction for learning cardiopulmonary resuscitation skills among first-year medical students: A prospective randomized controlled study
  Marcus, Mexmollen ; Abdullah, Ariff Arithra ; Nor, Junainah ; Tuan, Kamauzaman Tuan Hairulnizam ; Pang, Nicholas Tze Ping
• Spatial landslide susceptibility modelling using metaheuristic-based machine learning algorithms
  Huqqani, Ilyas Ahmad ; Tay, Lea Tien ; Mohamad-Saleh, Junita