Results 31 to 40 of about 42,397,765 (329)
Materials & Design, 2020 In the current work, we demonstrate the potential of structures made of chiral artificial materials to balance bending loads through tensile loads, exploiting their inner normal to shear strain coupling.
N. Karathanasopoulos +3 more
doaj +1 more source
Application of the evolutionary approach to structural and parametric identification of dynamic objects [PDF]
ITM Web of ConferencesThe paper examines the evolutionary approach to structural and parametric identification of dynamic systems in the form of differential equations. The approach is based on a genetic programming algorithm to determine a structure of the equation and ...
Karaseva Tatiana
doaj +1 more source
Dynamic Variational Autoencoders for Visual Process Modeling
, 2020 This work studies the problem of modeling visual processes by leveraging deep generative architectures for learning linear, Gaussian representations from observed sequences.
Sagel, Alexander, Shen, Hao
core +1 more source
Data-driven Modeling and Coordination of Large Process Structures [PDF]
, 2007 In the engineering domain, the development of complex products (e.g., cars) necessitates the coordination of thousands of (sub-)processes. One of the biggest challenges for process management systems is to support the modeling, monitoring and maintenance
Herbst, Joachim +2 more
core +3 more sources
Comparative Protein Structure Modeling Using MODELLER
Current Protocols in Bioinformatics, 2016 Comparative protein structure modeling predicts the three‐dimensional structure of a given protein sequence (target) based primarily on its alignment to one or more proteins of known structure (templates).
Ben M. Webb, A. Sali
semanticscholar +1 more source
A visual analysis of the process of process modeling [PDF]
Information Systems and E-Business Management, 2014 The construction of business process models has become an important requisite in the analysis and optimization of processes. The success of the analysis and optimization efforts heavily depends on the quality of the models.
Jan Claes +5 more
semanticscholar +1 more source
Frontiers in Energy Research, 2023 Carbon dioxide (CO2), a significant greenhouse gas released from power plants and industries, substantially impacts climate change; minimizing it and achieving carbon net zero is essential globally.
Chetna Shukla +2 more
doaj +1 more source
Process-Based Design and Integration of Wireless Sensor Network Applications [PDF]
, 2012 Wireless Sensor and Actuator Networks (WSNs) are distributed sensor and actuator networks that monitor and control real-world phenomena, enabling the integration of the physical with the virtual world.
Casati, Fabio +10 more
core +5 more sources
Dynamic Network Embedding by Modeling Triadic Closure Process
AAAI Conference on Artificial Intelligence, 2018 Network embedding, which aims to learn the low-dimensional representations of vertices, is an important task and has attracted considerable research efforts recently.
Le-kui Zhou +4 more
semanticscholar +1 more source
Journal of Process Control, 2020 In this work, physics-based recurrent neural network (RNN) modeling approaches are proposed for a general class of nonlinear dynamic process systems to improve prediction accuracy by incorporating a priori process knowledge.
Zhe Wu, David Rincón, P. Christofides
semanticscholar +1 more source