Results 71 to 80 of about 1,964,601 (320)
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Advanced 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
Chemical Engineering Transactions, 2016 Fuzzy theory and Bayesian network theory were based on the fault tree. The fault tree analysis method improved the fault analysis to obtain number of event's exact problem.
H.M. Liu, L. Liu, X.L. Ji
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Analysis on Dynamic Fault Tree Based on Fuzzy Set
, 2011 In case of fault tree analysis of large complex system, the probability of bottom event in dynamic fault tree is uncertain in some cases. To address the problem, the paper presented a dynamic fault tree analysis method based on fuzzy set computation. The
Li Ping Yang
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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
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Jixie 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
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A mass assignment based ID3 algorithm for decision tree induction [PDF]
, 1997 A mass assignment based ID3 algorithm for learning probabilistic fuzzy decision trees is introduced. Fuzzy partitions are used to discretize continuous feature universes and to reduce complexity when universes are discrete but with large cardinalities ...
Baldwin, JF, Martin, TP, Lawry, J
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Research on Fault Diagnosis for Pumping Station Based on T-S Fuzzy Fault Tree and Bayesian Network
Journal 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
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Current Standards of Monitoring Models in Healthcare Settings
Advanced Intelligent Discovery, EarlyView.AI/ML‐enabled medical devices are entering clinical practice faster than monitoring standards mature. This review highlights gaps in postmarket surveillance, limited use of predetermined change‐control plans, and the need for ongoing performance tracking, drift detection, explainability, and workflow‐aware governance to support safer, more reliable ...
Alan Kay +5 more
wiley +1 more source
Advanced 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 Analysis of Tubing Hanger Installation Operation Based on T-S Fuzzy Fault Tree
Shiyou 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
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