Results 41 to 50 of about 9,592 (232)

Coupling Analysis for Systolic, Diastolic and RR Interval Time Series Using Multivariable Fuzzy Measure Entropy

Computing in Cardiology Conference (CinC), 2017
In this study, we performed a new multivariate fuzzy measure entropy (mvFME) analysis on the recorded multivariate systolic, diastolic and RR interval time series. Twenty healthy young male subjects (24.2±1.9 years) were enrolled. For each subject, both ECG and aortic phonocardiogram (PCG) signals were simultaneously recorded for 5 minutes, under two ...
Lina Zhao, Shoushui Wei, Hong Tang, Chengyu Liu   +3 more
openaire   +1 more source

A Multivariate Fuzzy Time Series Resource Forecast Model for Clouds using LSTM and Data Correlation Analysis

Procedia Computer Science, 2018
Abstract Today, almost all clouds only offer auto-scaling functions using resource usage thresholds, which are defined by users. Meanwhile, applying prediction-based auto-scaling functions to clouds still faces a problem of inaccurate forecast during operation in practice even though the functions only deal with univariate monitoring data.
Tran, Nhuan, Nguyen, Thang, Nguyen, Binh Minh, Nguyen, Giang   +3 more
openaire   +1 more source

A Hybrid Fuzzy–Support Vector Machine Framework for Real‐Time Dust Detection and Thermal Mapping in Photovoltaic Panels

Energy Science &Engineering, EarlyView.
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker, S. M. Rezaul Karim, MD. Shouquat Hossain, Md. Moshaddek Hossain, Md. Monirul Kabir   +4 more
wiley   +1 more source

Mapping Diversity of Publication Patterns in the Social Sciences and Humanities: An Approach Making Use of Fuzzy Cluster Analysis [PDF]

, 2016
<b>Purpose:</b> To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship.<br><b ...
Arie Weeren, Frederik T. Verleysen, Frederik T. Verleysen (E-mail:Frederik.Verleysen@uantwerpen.be)   +2 more
core   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Indicators for measuring satisfaction towards design quality of buildings [PDF]

, 2016
Design quality is an important component in measuring satisfaction towards total product quality (TPQ) of buildings, the product of construction projects.
Chan, Chee Ming, Jusoh, Safuan, Suratkon, Azeanita   +2 more
core  

A fuzzy model for sensitivity analysis in real options [PDF]

, 2008
This paper adopts a promising concept of uncertainty, incorporating both stochastic processes and fuzzy theory to capture the somewhat vague and imprecise ideas the manager has about the future expected cash flows, the profitability of the project, the ...
Agliardi, Elettra, Guerra, Maria Letizia, Stefanini, Luciano   +2 more
core   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

A Self-Adaptive Online Brain Machine Interface of a Humanoid Robot through a General Type-2 Fuzzy Inference System [PDF]

, 2016
This paper presents a self-adaptive general type-2 fuzzy inference system (GT2 FIS) for online motor imagery (MI) decoding to build a brain-machine interface (BMI) and navigate a bi-pedal humanoid robot in a real experiment, using EEG brain recordings ...
Andreu-Perez, Javier, Cao, Fan, Hagras, Hani, Yang, Guang   +3 more
core   +1 more source

Fuzzy-Based Multivariate Analysis for Input Modeling of Risk Assessment in Wind Farm Projects

Algorithms, 2020
Currently, input modeling for Monte Carlo simulation (MSC) is performed either by fitting a probability distribution to historical data or using expert elicitation methods when historical data are limited.
Emad Mohamed, Parinaz Jafari, S. Abourizk   +2 more
semanticscholar   +1 more source