Results 21 to 30 of about 678,049 (166)

Analysis of nonlinear dynamic response of functionally graded material plates under the influence of separation effects [PDF]

AIP Advances
A nonlinear vibration model of functionally graded material (FGM) plates with planar cracks was established. The plate was divided into four sub-regions according to the planar crack area.
Gen Liu, An Xi, Juncheng Huang, Baolin Zhang, Yanan Li   +4 more
doaj   +1 more source

Selecting reliable blockchain peers via hybrid blockchain reliability prediction

IET Software, 2023
Blockchain and blockchain‐based decentralised applications have been attracting increasing attention recently. In public blockchain systems, users usually connect to third‐party peers or run a peer to join the P2P blockchain network.
Peilin Zheng, Zibin Zheng, Liang Chen
doaj   +1 more source

Comparative Evaluation of Machine Learning and Conventional Material Decomposition Algorithms for Spectral Chest Radiography Using a CdTe Photon-Counting Detector

Sensors
Spectral chest radiography with photon-counting detectors (PCDs) enables energy-resolved acquisition for bone/soft-tissue separation, but quantitative performance depends on detector cross-talk and the selected material decomposition algorithm.
Sriharsha Marupudi, Bahaa Ghammraoui
doaj   +1 more source

Synthetic β-sheets mimicking fibrillar and oligomeric structures for evaluation of spectral X-ray scattering technique for biomarker quantification

Cell & Bioscience
Background Archetypical cross-β spines sharpen the boundary between functional and pathological proteins including β-amyloid, tau, α-synuclein and transthyretin are linked to many debilitating human neurodegenerative and non-neurodegenerative amyloidoses.
Karthika Suresh, Eshan Dahal, Aldo Badano   +2 more
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Open-Source Data Analysis Tool for Spectral Small-Angle X-ray Scattering Using Spectroscopic Photon-Counting Detector

Sensors
Spectral small-angle X-ray scattering (sSAXS) is a powerful technique for material characterization from thicker samples by capturing elastic X-ray scattering data in angle- and energy-dispersive modes at small angles. This approach is enabled by the use
Sabri Amer, Andrew Xu, Aldo Badano, Eshan Dahal   +3 more
doaj   +1 more source

Multi-Threshold Corner Detection and Region Matching Algorithm Based on Texture Classification

IEEE Access, 2019
In order to address the unreasonable distributed corners in single threshold Harris detection and expensive computation cost incurred from image region matching performed by normalized cross correlation (NCC) algorithm, multi-threshold corner detection ...
Zetian Tang, Zhao Ding, Ruimin Zeng, Yang Wang, Jun Wen, Lifeng Bian, Chen Yang   +6 more
doaj   +1 more source

Evaluating Explainability: A Framework for Systematic Assessment of Explainable AI Features in Medical Imaging

Bioengineering
Explainability features are intended to provide insight into the internal mechanisms of an Artificial Intelligence (AI) device, but there is a lack of evaluation techniques for assessing the quality of provided explanations.
Miguel A. Lago, Ghada Zamzmi, Brandon Eich, Jana G. Delfino   +3 more
doaj   +1 more source

Radiation Pattern Measurement in the Planar Coordinate

IEEE Photonics Journal, 2019
A planar measurement approach is presented to obtain the radiation pattern, by which rotation operations can be removed or reduced for a source with narrow and divergent viewing angle, respectively.
Chen Yang, Yi-hao Wang, Yi Wang, Zhao Ding, Jun Wen, Li-Feng Bian   +5 more
doaj   +1 more source

Design of Ellipsoid and Spherical Combined Light Source for Uniform Flux and Color Mixing

IEEE Photonics Journal, 2019
In this letter, an ellipsoid–spherical combined light source structure is presented for the purpose of uniform flux and color mixing, when considering heat dissipation.
Rui-Min Zeng, Ze-Tian Tang, Cheng-Xi Xia, Yang Wang, Shan Jin, Xin Ren, Li-Feng Bian, Zhao Ding, Chen Yang   +8 more
doaj   +1 more source

Hallucinations in medical devices

Artificial Intelligence in the Life Sciences
Computer methods in medical devices are frequently imperfect and are known to produce errors in clinical or diagnostic tasks. However, when deep learning and data-based approaches yield output that exhibit errors, the devices are frequently said to ...
Jason Granstedt, Prabhat Kc, Rucha Deshpande, Victor Garcia, Aldo Badano   +4 more
doaj   +1 more source