Results 181 to 190 of about 217,546 (313)
Autogenous self‐healing of concrete: Experimental design and test methodsA review
Concrete exhibits an intrinsic ability to heal cracks, defined as “autogenous self‐healing.” However, despite code restrictions, autogenous self‐healing of concrete shows limited effectiveness in practice. This indicates the need for further research to provide engineers with reliable design rules.
Daniel Lahmann+2 more
wiley +1 more source
UltRAP‐Net: Reverse Approximation of Tissue Properties in Ultrasound Imaging
This study proposes a reverse approximation neural network (UltRAP‐Net) to extract underlying physics‐aware properties using multiple images with distinct appearances obtained at the same location of tissues. Through this robust approximation, the study advances the use of ultrasound images by opening potentials for various applications such as physics‐
Yingqi Li+4 more
wiley +1 more source
On the performance of turbo codes and convolutional codes of low rate [PDF]
C.F. Leanderson+3 more
openalex +1 more source
High‐Throughput Nanorheology of Living Cells Powered by Supervised Machine Learning
Herein, atomic force microscopy (AFM) and machine learning are combined to determine the viscoelastic properties of living cells at the nanoscale. A universal regressor that predicts the viscoelastic properties of mammalian cells from AFM experiments is developed. The regressor predicts the viscoelastic parameters of two cell lines.
Jaime R. Tejedor, Ricardo Garcia
wiley +1 more source
A data‐driven detection method is proposed to predict the occurrence and quantification of lithium plating under uncertain conditions by only using constant‐current curves during charging based on deep learning. Moreover, the generalization ability of the proposed method is verified by its reliable detection accuracy under conditions that are not used ...
Yu Tian+4 more
wiley +1 more source
Connections between Linear Systems and Convolutional Codes
Joachim Rosenthal
openalex +2 more sources
This work presents a collision detection technique for robots, using piezoelectric sensors and deep learning to identify collision locations and intensities. A large area conformal kirigami design enables cost‐effective sensor deployment on complex surfaces.
Rui Jiao+10 more
wiley +1 more source
An energy‐frequency parameter for earthquake ground motion intensity measure
Abstract A novel scalar ground motion intensity measure (IM), termed the energy‐frequency parameter, is proposed based on the Hilbert‐Huang transform. To validate the effectiveness of the proposed IM, the correlation analysis between the engineering demand parameter (EDP) and energy‐frequency parameter is performed using 1992 recorded ground motions ...
Guan Chen+4 more
wiley +1 more source
Effect of pulse noise jamming and phase noise on a coherent RAKE receiver with maximum-likelihood detection and convolutional coding [PDF]
K. Kowalske, R.C. Robertson
openalex +1 more source