G. E. Gold, S. S. Vasanawala, W. Lu, C. A. Chen, W. Chen, J. M. Pauly, K. Butts Pauly, S. B. Goodman, and B. A. Hargreaves Radiology, Bioengineering, Orthopaedic Surgery, Stanford University, Stanford, CA, United States, Radiology, Stanford University, Stanford, CA, United States, Electrical and Electronic Engineering, Nanyang Tech., Singapore, Applied Science Laboratory, GE Healthcare, Menlo P...

International Journal of Control Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713393989 Regularized orthogonal least squares algorithm for constructing radial basis function networks S. Chen a; E. S. Chng b; K. Alkadhimi a a Department of Electrical and Electronic Engineering, University of Portsmouth, Port...

Mantle wedge regions in subduction zone settings show anomalously high electrical conductivity (~1 S/m) that has often been attributed to the presence of aqueous fluids released by slab dehydration. Laboratory-based measurements of the electrical conductivity of hydrous phases and aqueous fluids are significantly lower and cannot readily explain the geophysically observed anomalously high elect...

In this study, thin films of pure ZnO and  doped ZnO with different percentages of gallium (0.5, 1, 2 and 4vt. %) on the glass substrates were deposited by using sol-gel method via spin coating technique at 2500 rpm, and all layers were annealed at 200°C for 1h and then Were examined their electrical, optical and structural properties. Concentration of all solution was 0.1M. The results show th...

This note is a modest addition to the work arXiv:2109.13952. Here we construct an embedding of space electrical networks totally non-negative Lagrangian Grassmannian in generic situation with help technique vertex integrable models statistical mechanics.

Amongst energy-related CO2 emissions, electricity is the largest single contributor, and with proliferation of electric vehicles other developments, energy use expected to increase. Load forecasting essential for combating these issues as it balances demand production contributes management. Current state-of-the-art solutions such recurrent neural networks (RNNs) sequence-to-sequence algorithms...