„State Machine“

Suchergebnisse

3.441 Treffer

• Combining serious games and machine learning to assess the cognitive state of seniors using the cogniplat platform
  Skikos, Georgios ; Goumopoulos, Christos ; Ferras, John
• High precision outdoor and indoor reference state estimation for testing autonomous vehicles
  Sánchez Morales, Eduardo ; Dauth, Julian ; Huber, Bertold ; García Higuera, Andrés ; Botsch, Michael 2022 Technische Hochschule Ingolstadt
• COVID-19 vaccination performance of the U.S. states: a hybrid model of DEA and ensemble machine learning methods
  Cosgun, Ozlem ; Ogcu Kaya, Gamze ; Cosgun, Cumhur
• Integrating State of the Art Zirconia Thermal Barriers with Ytterbium Silicate Environmental Barriers for Silicon-Based Ceramic Turbine Components
  Gildersleeve, Edward J. ; Bakan, Emine ; Vaßen, Robert
• Automatic speech analysis combined with machine learning reliably predicts the motor state in people with Parkinson’s disease
  Thies, Tabea ; Mallick, Elisa ; Tröger, Johannes ; Baykara, Ebru ; Mücke, Doris ; Barbe, Michael Thomas
• Generalising Projection in Asynchronous Multiparty Session Types
  Majumdar, Rupak ; Mukund, Madhavan ; Stutz, Felix ; Zufferey, Damien 2021 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Comparison between Artificial Neural Networks and Support Vector Machine Modeling for Polycaprolactone Synthesis via Enzyme Catalyzed Polymerization
  Arumugasamy, Senthil Kumar ; Chen, ZhiYuan ; Khoa, Le Dinh Van ; Pakalapati, Harshini
• Optimization and inverse analysis in metal forming: scientific state-of-the-art and recent trends
  Andrade-Campos, Antonio ; Coppieters, Sam ; Strano, Matteo
• Formation of the β-barrel assembly machinery complex in lipid bilayers as seen by solid-state NMR
  Pinto, Cecilia ; Mance, Deni ; Sinnige, Tessa ; Daniëls, Mark ; Weingarth, Markus ; Baldus, Marc
• Complete property-oriented testing
  Krafczyk, Niklas ; Peleska, Jan ; Mousavi, Mohammad Reza 2024 Staats- und Universitätsbibliothek Bremen
• State-of-the-art survey on digital twin implementations
  Liu, Y. K. ; Ong, Soh K. ; Nee, Andrew Y. C.
• Optimal load frequency control through combined state and control gain estimation for noisy measurements
  Pillai, Anju G. ; Samuel, Elizabeth Rita ; Unnikrishnan, A.
• Nutation control strategy through state feedback: application to a spin-stabilized autonomous system
  Mazinan, A. H.
• Performance analysis of network traffic capture tools and machine learning algorithms for the classification of applications, states and anomalies
  Fowdur, T. P. ; Baulum, B. N. ; Beeharry, Y.
• Modeling motor task activation from resting-state fMRI using machine learning in individual subjects
  Niu, Chen ; Cohen, Alexander D. ; Wen, Xin ; Chen, Ziyi ; Lin, Pan ; Liu, Xin ; Menze, Bjoern ; Wiestler, Benedikt ; Wang, Yang ; Zhang, Ming
• Protection and control of microgrids using dynamic state estimation
  Liu, Y. ; Meliopoulos, A. P. ; Sun, L. ; Choi, S.
• Machine learning approach to identify a resting-state functional connectivity pattern serving as an endophenotype of autism spectrum disorder
  Yamagata, Bun ; Itahashi, Takashi ; Fujino, Junya ; Ohta, Haruhisa ; Nakamura, Motoaki ; Kato, Nobumasa ; Mimura, Masaru ; Hashimoto, Ryu-ichiro ; Aoki, Yuta
• Evaluation of machine learning algorithms performance for the prediction of early multiple sclerosis from resting-state FMRI connectivity data
  Saccà, Valeria ; Sarica, Alessia ; Novellino, Fabiana ; Barone, Stefania ; Tallarico, Tiziana ; Filippelli, Enrica ; Granata, Alfredo ; Chiriaco, Carmelina ; Bruno Bossio, Roberto ; Valentino, Paola ; Quattrone, Aldo
• Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer’s disease
  Khazaee, Ali ; Ebrahimzadeh, Ata ; Babajani-Feremi, Abbas
• Selection of Sustainable Process and Essential Indicators for Decision Making Using Machine Learning Algorithms
  Mukherjee, Rajib