Results 161 to 170 of about 230,401 (283)
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source
Intelligent RBF neural network-based control for dynamic stability and power control in renewable-integrated microgrids. [PDF]
Chiluka V +6 more
europepmc +1 more source
Abstract Objective First seizure events are common and may exert an immediate and profound impact on people's lives. Less understood are their long‐term consequences. This prospective, longitudinal study aimed to measure and compare psychosocial and health‐related work productivity trajectories following first seizure events of various etiologies ...
Emma Foster +13 more
wiley +1 more source
A meta-interactive neural network for solving time-varying quadratic programming problems. [PDF]
Zhang Z, Sun X, Liu Y, Luo Y.
europepmc +1 more source
ABSTRACT Under the background of Global Climate Governance and “double carbon” goals, power industry agglomeration is an important path to promote the development of energy industry, and its mechanism and impact effect need to be further explored.
Tanbo Zhu, Wei Bu
wiley +1 more source
Application of adaptive GA-BPNN based on weibull distribution for autonomous greenhouse ventilation. [PDF]
Wang ZY, Zhang CP, Alam M, Ho J.
europepmc +1 more source
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
Adaptive linear MPC for a PMSM-driven autonomous EV with a filtered third-order generalized integrator observer. [PDF]
Ismail MM +4 more
europepmc +1 more source
This paper aims to provide a robust design approach for HAWTs operating in shear flow. This study fills a critical research gap by integrating BEM and vortex theories for blade design in non‐homogeneous inflow conditions. The authors of the paper made an effort to develop and test an experimentally unsophisticated model of a turbine working in shear ...
Agnieszka Dorota Woźniak +2 more
wiley +1 more source
Portfolio Optimization: A Neurodynamic Approach Based on Spiking Neural Networks. [PDF]
Khan AH, Mohammed AM, Li S.
europepmc +1 more source

