Results 131 to 140 of about 555,264 (327)
Advanced Engineering Materials, EarlyView.In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source
Distributed variational sparse Bayesian compressed sensing based on factor graphs
Tongxin xuebao, 2014 A distributed variational sparse Bayesian compressed spectrum sensing algorithm based on factor graph was proposed,which decomposed the global spectrum sensing problem into local problem based on factor and variation.Belief propagation was used for the ...
Cui-tao ZHU +3 more
doaj +2 more sources
Digital Communications and Networks, 2023 Compressed Sensing (CS) is a Machine Learning (ML) method, which can be regarded as a single-layer unsupervised learning method. It mainly emphasizes the sparsity of the model.
Han Wang +5 more
doaj
Secure Compressed Reading in Smart Grids [PDF]
arXiv, 2012 Smart Grids measure energy usage in real-time and tailor supply and delivery accordingly, in order to improve power transmission and distribution. For the grids to operate effectively, it is critical to collect readings from massively-installed smart meters to control centers in an efficient and secure manner.
arxiv
Advanced Engineering Materials, EarlyView.This study explores the energy conversion in powder bed fusion of polymers using laser beam for polyamide 12 and polypropylene powders. It combines material and process data, using dimensionless parameters and numerical models, to enable the prediction of suitable printing parameters.
Christian Schlör +9 more
wiley +1 more source
Sensors, 2018 As the application of a coal mine Internet of Things (IoT), mobile measurement devices, such as intelligent mine lamps, cause moving measurement data to be increased.
Gang Wang, Zhikai Zhao, Yongjie Ning
doaj +1 more source
Distributed Random Multi-Hop Compressed Sensing in 3-D Underwater Sensor Networks [PDF]
, 2014 Gongliang Liu +3 more
openalex +1 more source
Evaluating the Performance of Compressive Sensing in Fiber-Optic Distributed Brillouin Sensors [PDF]
, 2023 Felipe Díaz, Marcelo A. Soto
openalex +1 more source
Model-based Optimization of Compressive Antennas for High-Sensing-Capacity Applications [PDF]
arXiv, 2015 This paper presents a novel, model-based compressive antenna design method for high sensing capacity imaging applications. Given a set of design constraints, the method maximizes the sensing capacity of the compressive antenna by varying the constitutive properties of scatterers distributed along the antenna.
arxiv
Advanced Engineering Materials, EarlyView.This study explores the use of laser‐induced forward transfer in the picosecond regime to create in vitro biomodels. Focusing on hydrodynamics and rheology, it investigates jet dynamics through time‐resolved imaging, optimizing laser fluence, biological ink viscosity, and printing distance to precisely control the volume and location of bioink ...
Lucas Duvert +5 more
wiley +1 more source