Browsing Academic by Title
Now showing items 14513-14532 of 26813
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Multiple parts process planning in serial–parallel flexible flow lines: part II—solution method based on genetic algorithms with fixed- and variable-length chromosomes
( Springer London , 2015 , Article)Multiple parts process planning (MPPP) is a hard optimization problem that requires the rigor and intensity of metaheuristic-based algorithms such as simulated annealing and genetic algorithms. In this paper, a solution ... -
Multiple Relay Selection and Beamforming in Dual-Hop Amplify-and-Forward Relay Networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)In this paper, the problems of multiple relay selection and beamforming optimization are considered for a dual-hop amplify-and-forward relaying network under individual and total power constraints. The selection is performed ... -
Multiple sensor fault diagnosis by evolving data-driven approach
( Elsevier Inc. , 2014 , Article)Sensors are indispensable components of modern plants and processes and their reliability is vital to ensure reliable and safe operation of complex systems. In this paper, the problem of design and development of a data-driven ... -
Multiple sensor fault diagnosis for non-linear and dynamic system by evolving approach
( 2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012 , 2012 , Conference Paper)Reliability of sensor measurement is vital to assure the performance of complex and nonlinear industrial operation. In this paper, the problem of designing and development of a data-driven multiple sensor fault detection ... -
A multiple-kernel clustering based intrusion detection scheme for 5G and IoT networks
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)The 5G network provides higher bandwidth and lower latency for edge IoT devices to access the core business network. But at the same time, it also expands the attack surface of the core network, which makes the enterprise ... -
Multiple-model based sensor fault diagnosis using hybrid kalman filter approach for nonlinear gas turbine engines
( 2013 1st American Control Conference, ACC 2013 , 2013 , Conference Paper)In this paper, an efficient sensor fault detection and isolation (FDI) strategy is proposed based on multiple-model (MM) approach. The scheme is composed of hybrid kalman filters (HKF) by integrating a nonlinear gas turbine ... -
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 ...