Results 61 to 70 of about 1,831,408 (276)
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula +10 more
wiley +1 more source
The general method of the fault tree analysis of swing movable teeth drive is investigated in this paper.The fault tree of swing movable teeth drive system is built up,and its structure function is presented.
梁尚明, 徐礼钜
doaj
In response to the relevant provisions of safety design criteria for fuze, and considering that Traditional Fault Tree Analysis (TFTA) struggles to describe system failure behavior, such as in its multi-state system faults and probabilistic logic ...
Xue Wang, Ya Zhang, Shizhong Li, Bo Li
doaj +1 more source
Research on Fault Diagnosis for Pumping Station Based on T-S Fuzzy Fault Tree and Bayesian Network
According to the characteristics of fault diagnosis for pumping station, such as the complex structure, multiple mappings, and numerous uncertainties, a new approach combining T-S fuzzy gate fault tree and Bayesian network (BN) is proposed.
Zhuqing Bi +3 more
doaj +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
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
Risk Analysis of Tubing Hanger Installation Operation Based on T-S Fuzzy Fault Tree
To address the lack of fault data, the uncertainty connection of the failure mechanism and the events, and the problem of the applicability of traditional Boolean logic gates in the risk analysis of the tubing hanger installation operation, a new ...
Liu Jian +4 more
doaj
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Risk source identification and failure model for the operation of top tensioned riser
The Top Tensioned Riser (TTR) is mainly applied to single column platforms and tension leg platforms in the development of deep water oil and gas. The risks in the operation of the TTR were analyzed to guarantee the safety and reliability of ocean ...
Jianxing YU, Tian LIU, Yang YU
doaj +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source

