„State Machine“

Suchergebnisse

3.441 Treffer

• Spectroscopy of image-potential states by two-photon photoemission
  Steinmann, W.
• Verification of CuInSe2 density of states features by reflection electron energy loss spectroscopy
  Kleint, Ch ; Funke, M. ; Tomlinson, R. D.
• Unoccupied surface states and surface barrier in metals
  Thörner, G. ; Borstel, G.
• Electrical properties of the AgTlSe2 semiconductor in the liquid state
  Abou El Ela, A. H. ; Abdelmohsen, N.
• Donor states in tellurium-doped silicon
  Schaub, R. ; Pensl, G. ; Schulz, M. ; Holm, C.
• Bound defect states in IV–VI semiconductors
  Lischka, K.
• A low-cost methodology for developing personal health monitoring devices to examine psychological states and the impact of exercises
  Ahamad, Sultan
• Vertical Stress State Analysis and Fatigue Life Prediction of Thermal Barrier Coating Considering TGO with Nonuniform Thickness
  Guan, Peng ; Zhang, Jia-Rui ; Tian, Jing ; Ai, Yan-Ting ; Yao, Yu-Dong ; Bao, Tian-Nan ; Li, Tong
• Laser Peening: A Review of the Factors, Effects, Applications, Comparison with Shot Peening and State-of-the-Art
  AYEB, Manel ; FRIJA, Mounir ; FATHALLAH, Raouf
• Improved start-up strategy for a doubly fed induction machine fed large rated variable speed pumped storage unit in pumping mode operation
  Malathy, N. ; Sukhi, Y.
• DIN EN 13001-3-6, Krane - Konstruktion allgemein. Teil 3-6, Grenzzustände und Sicherheitsnachweis von Maschinenbauteilen - Hydraulikzylinder – = Cranes - general design. Part 3-6, Limit states and proof of competence of machinery - hydraulic cylinders
  2023 Beuth Verlag GmbH
• Molecular dynamics simulations using machine learning potential for a-Si:H/c-Si interface: Effects of oxygen and hydrogen on interfacial defect states
  Semba, Takayuki ; McKibbin, Jacob ; Jinnouchi, Ryosuke ; Asahi, Ryoji
• Orientational correlations and order in A3C60 – Consequences for density of states and conductivity
  Gelfand, M. P. ; Lu, J. P.
• Predicting child anaemia in the North-Eastern states of India: a machine learning approach
  Meitei, A. Jiran ; Saini, Akanksha ; Mohapatra, Bibhuti Bhusan ; Singh, Kh. Jitenkumar
• Revolutionizing Solid‐State NASICON Sodium Batteries: Enhanced Ionic Conductivity Estimation through Multivariate Experimental Parameters Leveraging Machine Learning
  Zhang, Yuyao ; Zhan, Tingjie ; Sun, Yang ; Lu, Lun ; Chen, Baoliang
• Electrical machines – mathematical fundamentals of machine topologies
  Gerling, Dieter 2015 Springer
• Calculated versus measured iron losses and instantaneous magnetization power functions of electrical steel
  Pfützner, Helmut ; Shilyashki, Georgi ; Huber, Emanuel
• Is the brain an effective Turing machine or a finite-state machine?
  Velde, Frank van der
• A model for unsteady-state gas flow in the longitudinal direction of wood
  Siau, John F.
• Learning State Transition Rules from High-Dimensional Time Series Data with Recurrent Temporal Gaussian-Bernoulli Restricted Boltzmann Machines
  Watanabe, Koji ; Inoue, Katsumi