Browsing by Title
Now showing items 17184-17203 of 50604
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Multiple-model sensor and components fault diagnosis in gas turbine engines using autoassociative neural networks
( American Society of Mechanical Engineers , 2014 , Article)In this paper the problem of fault diagnosis in an aircraft jet engine is investigated by using an intelligent-based methodology. The proposed fault detection and isolation (FDI) scheme is based on the multiple model ... -
Multiple-module high-gain high-voltage DCDC transformers for offshore wind energy systems
( IEEE , 2011 , Article)Renewable energy sources, such as offshore wind farms, require high voltage gains in order to interface with power transmission networks. These conversions are normally made using bulky, complex, and costly transformers ... -
Multiple-runway aircraft sequencing problems using mixed-integer programming
( Institute of Industrial Engineers , 2012 , Conference Paper)We examine aircraft sequencing problems over multiple runways, under mixed mode operations, with the objective of minimizing the total weighted tardiness of aircraft landings and departures. A mixed-integer programming ... -
Multiple-view time-frequency distribution based on the empirical mode decomposition
( Institution of Engineering and Technology , 2010 , Article)This study proposes a novel, composite time-frequency distribution (TFD) constructed using a multiple-view approach. This composite TFD utilises the intrinsic mode functions (IMFs) of the empirical mode decomposition (EMD) ... -
Multiscale denoising of biological data: A comparative analysis
( IEEE , 2012 , Article)Abstract: Measured microarray genomic and metabolic data are a rich source of information about the biological systems they represent. For example, time-series biological data can be used to construct dynamic genetic ... -
A multiscale ocean modelling system for the central Arabian/Persian Gulf: From regional to structure scale circulation patterns
( Elsevier , 2023 , Article)The Arabian/Persian Gulf (hereafter, the “Gulf”) is one the busiest and fastest changing sea in the World. Its circulation is primarily driven by the surface water inflow from the Sea of Oman and density-driven and wind-driven ... -
Multiscale structural evolution of citrate-triggered intrafibrillar and interfibrillar mineralization in dense collagen gels
( Academic Press Inc. , 2020 , Article)The mineralized extracellular matrix of bone is an organic?inorganic nanocomposite consisting primarily of carbonated hydroxyapatite, fibrous type I collagen, noncollagenous proteins, proteoglycans, and diverse biomolecules ... -
Multisensor, multichannel, and time-space processing
( Elsevier Inc. , 2016 , Book chapter)This chapter presents time-frequency (t,f) methods suitable for multichannel signal processing using multisensor and time-space processing methods. The topic is covered in seven sections with relevant cross-referencing. A ... -
Multispectral biopsy image based colorectal tumor grader
( Springer Verlag , 2017 , Conference Paper)Automated tumor cell grading systems have an immense potential in improving the speed and accuracy of cancer diagnostic procedures. It can boost the confidence level of pathologists who perform the manual assessment of ... -
Multispectral image denoising using optimized vector NLM filter
( Springer Verlag , 2016 , Conference Paper)In this paper, we present a Stein's Unbiased Risk Estimator (SURE) approach for Non-Local Mean filter to denoise multispectral images. We extend this filter to the vector case in order to take advantage from the additional ... -
Multispectral image denoising with optimized vector non-local mean filter
( Elsevier Inc. , 2016 , Article)Nowadays, many applications rely on images of high quality to ensure good performance in conducting their tasks. However, noise goes against this objective as it is an unavoidable issue in most applications. Therefore, it ... -
Multispectral imaging and machine learning for automated cancer diagnosis
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Advancing technologies in the current era paved a lot to break the hurdles in medical diagnostic field. When cancer turned out to be the most common and dangerous disease of the age, novel diagnostic methodologies were ... -
Multispectral palmprint recognition based on local binary pattern histogram fourier features and gabor filter
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Fusing multiple features within one biometric modality has attracted increasing attention and interest among researchers during recent decades because the concept is useful in addressing a wide range of real world problems. ... -
Multistable dynamics and control of a new 4D memristive chaotic Sprott B system
( Elsevier , 2022 , Article)This work proposes and investigates the dynamic behavior of a new memristive chaotic Sprott B system. One of the interesting features of this system is that it has a bias term that can adjust the symmetry of the proposed ... -
The multistage homotopy-perturbation method: A powerful scheme for handling the Lorenz system
( Elsevier , 2007 , Article)In this paper, a new reliable algorithm based on an adaptation of the standard homotopy-perturbation method (HPM) is presented. The HPM is treated as an algorithm in a sequence of intervals (i.e. time step) for finding ... -
Multiuser scheduling on downlink communications by using adaptive hierarchical modulation
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, we propose a novel downlink system that is able to maximize the number of users which could be served with high correct decoding probability while, minimizing the total consumed energy for data reconstruction ... -
Multivariate analysis for FTIR in understanding treatment of used cooking oil using activated carbon prepared from olive stone
( Public Library of Science , 2020 , Article)In this study, activated carbons prepared from the green and black olive stone (green OSAC and black OSAC) were used as adsorbents to investigate their removal efficiencies for oxidation products and polar compounds from ... -
Multivariate analysis of competitive adsorption of food dyes by activated pine wood
( Taylor & Francis , 2016 , Article)In this work, competitive adsorption of four food dyes (Sunset Yellow, Allura Red, tartrazine, and Brilliant Black) by heated pine wood is studied using multivariate calibration. Partial least squares PLS1 and principal ... -
Multivariate coefficient of variation control charts in phase I of SPC
( Springer London , 2018 , Article)Multivariate control charts are mostly available for monitoring the process mean vector or the covariance matrix. Recently, work has been done on monitoring the multivariate coefficient of variation (CV) in phase II of the ... -
Multivariate control charts for monitoring process mean vector of individual observations under regularized covariance estimation
(2021 , Article)Multivariate control charts are generally used in industries for monitoring and diagnosing processes characterized by several process variables. The applications of charts assume that the in-control process parameters are ...
