„Machine-Man-Task System“

Suchergebnisse

1.000+ Treffer

• Influence of Increasing Task Complexity and Use of Informational Assistance Systems on Mental Workload
  Bläsing, Dominic ; Bornewasser, Manfred 2021 Universität Greifswald
• Virtual machine allocation to the task using an optimization method in cloud computing environment
  Rawat, Pradeep Singh ; Dimri, Priti ; Saroha, Gyanendra Pal
• Workflow scheduling in IaaS clouds with the optimal pairing between tasks and virtual machines
  Hua, Xianmei ; Zheng, Lubin
• Divided attention and manual visuomotor control in stroke: a combined dual-task and eye movement study
  Dziezuk, Elisa ; Boterff, Quentin Le ; Ravestyn, Coralie Van ; Mairesse, Solène ; Hamdoun, Sonia ; Calvet, David ; Daghsen, Lina ; Carment, Loïc ; Rosso, Charlotte ; Maier, Marc A. ; Turc, Guillaume ; Mas, Jean-Louis ; Lindberg, Påvel G.
• Globalization and offshoring of software – Aspray, W.; Mayadas, F.; Vardi, M.Y. (Eds.), A Report of the ACM Job Migration Task Force ISBN 1-59593-425-1, ACM 0001-0782/06/0200, Association for Computing Machinery, New York 2006, 286 Seiten
  Kurbel, Karl
• Intention-driven adaptive impedance control of human-robot collaboration for open space tasks
  Zhang, Hongmiao ; Zhou, Rui ; Wei, Guozheng ; Yuan, Zhaohua ; Kuang, Shaolong
• Multi-dimensional feature driven GPU usage prediction model based on task and system environment classification
  Xu, Chunhui
• Fault-tolerance-aware flexible and mobility-aware task offloading based on machine learning in mobile cloud computing
  Singh, Narinderjit Singh Sawaran ; Talib, Abbas N. ; Qader, Karwan Hussein ; Sharma, Nidhi ; Feng, Zhang
• Solving Large Scale Learning Tasks. Challenges and Algorithms – Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday
  Michaelis, Stefan ; Piatkowski, Nico ; Stolpe, Marco 2016 Springer International Publishing
• Grip and manipulation forces are controlled independently in a coupled bimanual task
  Günter, Clara ; Heimburger, Niklas ; Franklin, David W. ; Leib, Raz
• Industrial Neuroscience in Aviation – Evaluation of Mental States in Aviation Personnel
  Borghini, Gianluca ; Aricò, Pietro ; Di Flumeri, Gianluca ; Babiloni, Fabio 2017 Springer International Publishing
• Integrating combined task and motion planning with compliant control – Successfully conducting planned dual-arm assembly motion using compliant peg-in-hole control
  Chen, Hao ; Li, Juncheng ; Wan, Weiwei ; Huang, Zhifeng ; Harada, Kensuke
• Implementation of an autonomous mobile platform for agricultural tasks in corridor-like environments
  Tobias, Jonathan ; Lim, Shen Hin ; Duke, Mike ; McGuinness, Benjamin ; Au, Chi Kit
• Differential training benefits and motor unit remodeling in wrist force precision tasks following high and low load blood flow restriction exercises under volume-matched conditions
  Lin, Yen-Ting ; Wong, Chun-Man ; Chen, Yi-Ching ; Chen, Yueh ; Hwang, Ing-Shiou
• A rule-based robotic assistance system providing physical relief for nurses during repositioning tasks at the care bed
  Kowalski, Christian ; Brinkmann, Anna ; Fifelski-von Böhlen, Conrad ; Hinrichs, Pascal ; Hein, Andreas
• Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research
  Du, Jingcheng ; Soysal, Ekin ; Wang, Dong ; He, Long ; Lin, Bin ; Wang, Jingqi ; Manion, Frank J. ; Li, Yeran ; Wu, Elise ; Yao, Lixia
• Über eine neue Methode zur Leistungssteigerung von Mensch-Maschine-Systemen durch gezielten Assistenzeinsatz About a New Method to Increase Performance of Man Machine Systems by Targeted Assistance Integration
  Peinsipp-Byma, Elisabeth
• Machine learning and deep learning techniques for poultry tasks management: a review
  Subramani, Thavamani ; Jeganathan, Vijayakumar ; Kunkuma Balasubramanian, Sruthi
• Task and knowledge analysis – methodology and application in power plants : Esprit-Gradient P857-WP2. 1-UKS-007
  Borys, Bernd-Burkhard 1986 GhK
• Optimizing Accounting Informatization through Simultaneous Multi-Tasking across Edge and Cloud Devices using Hybrid Machine Learning Models
  Yang, Xiaofeng