Results 81 to 90 of about 9,736 (263)

Dataguzzler-Python and SpatialNDE2: Crucial Software Infrastructure for Reconfigurable NDE Data Acquisition With Spatial Context

IEEE Open Journal of Instrumentation and Measurement
In the field of nondestructive evaluation (NDE), we sometimes need an intricate system of multiple actuators and sensors to measure and assess the material condition or structural integrity of a specimen.
Tyler J. Lesthaeghe, Stephen D. Holland
doaj   +1 more source

Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation. [PDF]

Sensors (Basel), 2022
Taheri H, Gonzalez Bocanegra M, Taheri M.   +2 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Innovative concrete sensing technologies for nuclear power plants

Građevinar, 2019
Nondestructive evaluation has been used to investigate construction and use of concrete structures for the nuclear power industry. Nuclear concrete often has unique structural characteristics which increase proclivity towards degradation and inhibit ...
Chen Shen-En, Scott David B.
doaj   +1 more source

Hyperspectral reflectance imaging for nondestructive evaluation of root rot in Korean ginseng (Panax ginseng Meyer). [PDF]

Front Plant Sci, 2023
Park E, Kim YS, Faqeerzada MA, Kim MS, Baek I, Cho BK.   +5 more
europepmc   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Using a “sonic net” to deter pest bird species: Excluding European starlings from food sources by disrupting their acoustic communication

Wildlife Society Bulletin, 2015
Pest avian wildlife is responsible for substantial economic damage every year in the United States. Previous technologies used to deter starlings have generally failed because birds quickly habituate to startle regimes.
Ghazi Mahjoub, Mark K. Hinders, John P. Swaddle   +2 more
doaj   +1 more source

Magnetic Recording Method (MRM) for Nondestructive Evaluation of Ferromagnetic Materials. [PDF]

Materials (Basel), 2022
Chady T, Łukaszuk RD, Gorący K, Żwir MJ.   +3 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in 'Madoka' Peaches. [PDF]

Plants (Basel), 2022
Jang KE, Kim G, Shin MH, Cho JG, Jeong JH, Lee SK, Kang D, Kim JG.   +7 more
europepmc   +1 more source