Results 151 to 160 of about 43,499 (308)
Cyber attack and fault detection in DC microgrids by designing an event-triggered based-robust algorithm. [PDF]
Hosseini Rostami SM +2 more
europepmc +1 more source
ABSTRACT N‐vinylamides, especially noncyclic N‐vinylacetamide (NVA), have been used in various applications such as biomaterials, surfactants, and hydrogels. However, their potential to copolymerize with cyclic ketene acetal (CKA) to create degradable polymers is underexplored.
Mukmin Sapto Pamungkas +2 more
wiley +1 more source
Riemannian optimal identification method for linear systems with symmetric positive-definite matrix [PDF]
Kazuhiro Sato +2 more
openalex +1 more source
Adaptive observed-based backstepping control for quantized robot arms. [PDF]
Du Z, Tang H, Gao S, Cai Y.
europepmc +1 more source
ABSTRACT The Nacho Nyäk Tagé (Stewart River) watershed in central Yukon (Canada) is characterized by discontinuous permafrost that is locally highly sensitive to thaw. This study aims to map the spatial distribution of permafrost terrain disturbances (PTDs) in the watershed and model thaw susceptibility to support community‐led land‐use planning by the
Frederic Brieger +2 more
wiley +1 more source
Cluster Kernel For Learning Similarities Between Symmetric Positive Definite Matrix Time Series
Sara Akodad +3 more
openalex +2 more sources
Selective computation. II. The positive definite square root of a positive definite matrix
openaire +2 more sources
Algebraic Approach to Maximum Likelihood Factor Analysis. [PDF]
Fukasaku R +3 more
europepmc +1 more source
Negative Stiffness Induced and Controlled by Constriction
Structures with negative stiffness can be stabilized by constriction of external displacement. Furthermore, constriction can make a conventional positive stiffness material exhibit negative stiffness, either bidirectional or unidirectional (shown in the figure).
Elena Pasternak, Arcady V. Dyskin
wiley +1 more source
Loss Behavior in Supervised Learning With Entangled States
Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl +4 more
wiley +1 more source

