Results 61 to 70 of about 1,831,408 (276)

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

摆动活齿传动系统故障树分析

open access: yesJixie chuandong, 2001
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  

Safety Assessment of Fuze Based on T-S Fuzzy Fault Tree and Interval Triangular Fuzzy Multi-State Bayesian Network

open access: yesMachines
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

open access: yesJournal of Electrical and Computer Engineering, 2017
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

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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

open access: yesAdvanced 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

Risk Analysis of Tubing Hanger Installation Operation Based on T-S Fuzzy Fault Tree

open access: yesShiyou jixie, 2017
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  

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

open access: yesYou-qi chuyun, 2020
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

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

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