A systematic review of traffic incident detection algorithms

O ElSahly, A Abdelfatah - Sustainability, 2022 - mdpi.com
Traffic incidents have negative impacts on traffic flow and the gross domestic product of most
countries. In addition, they may result in fatalities and injuries. Thus, efficient incident …

[图书][B] Řízení rizik ve firmách a jiných organizacích-3., rozšířené a aktualizované vydání

V Smejkal - 2010 - books.google.com
V třetím, rozšířeném a aktualizovaném vydání komplexní publikace se dozvíte aktuální a
praktické informace o hlavních podnikatelských rizicích a poznáte konkrétní postupy a …

Calculation of a health index for oil-immersed transformers rated under 69 kV using fuzzy logic

AEB Abu-Elanien, MMA Salama… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
This paper presents a new method for calculating a health index for transformers (for
operating voltage 69 kV or less) based on diagnostic tests. The method relies on the use of …

[HTML][HTML] Comparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian processes for machine learning (GPML) algorithms for the prediction of skin …

N Mathur, I Glesk, A Buis - Medical engineering & physics, 2016 - Elsevier
Monitoring of the interface temperature at skin level in lower-limb prosthesis is notoriously
complicated. This is due to the flexible nature of the interface liners used impeding the …

A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference

F Camastra, A Ciaramella, V Giovannelli… - Expert Systems with …, 2015 - Elsevier
Environmental risk assessment (ERA) of the deliberate release of genetically modified
plants (GMPs) is currently performed by human experts on the basis of own personal …

Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach

C Qi, HB Ly, Q Chen, TT Le, VM Le, BT Pham - Chemosphere, 2020 - Elsevier
Polymer-assisted flocculation-dewatering of mineral processing tailings (MPT) is crucial for
its environmental disposal. To reduce the number of laboratory experiments, this study …

Utilizing an adaptive neuro-fuzzy inference system (ANFIS) for overcrowding level risk assessment in railway stations

H Alawad, M An, S Kaewunruen - Applied Sciences, 2020 - mdpi.com
The railway network plays a significant role (both economically and socially) in assisting the
reduction of urban traffic congestion. It also accelerates the decarbonization in cities …

Alternate and effective dissolved gas interpretation to understand the transformer incipient faults

T Manoj, C Ranga, SSM Ghoneim… - … on Dielectrics and …, 2023 - ieeexplore.ieee.org
Various techniques of fault diagnosis in oil immersed power transformers have been utilized
for the last two decades and are well reported in the literature. The traditional and widely …

Condition assessment of power transformers based on multi‐attributes using fuzzy logic

C Ranga, AK Chandel… - IET Science, Measurement …, 2017 - Wiley Online Library
In this study, a new multi‐criterion based fuzzy logic model has been proposed to determine
the overall health index of transformers. The method relies on the concentrations of …

A probabilistic model-aided failure prediction approach for spring-type operating mechanism of high-voltage circuit breakers

AA Razi-Kazemi, K Niayesh… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
To avoid failures in circuit breakers (CBs) and to extend the lifetime of these critical
components, condition-based-maintenance has been increasingly requested by utilities to …