Search Results - (( developing deviation between algorithm ) OR ( java implication based algorithm ))
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Hazard identification on fractionation column using rule based expert system
Published 2001“…An inference engine mechanism is developed using Visual Basic programming language, for appropriate interaction between these components in order to identify causes and consequences of deviation for each process stream. …”
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Neural Network Model and Finite Element Simulation of Spring back in Plane-Strain Metallic Beam Bending
Published 2006“…To validate the finite element model physical experiments were conducted. A neural network algorithm based on the backpropagation algorithm has been developed. …”
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Computer vision automation system for sorting partially overlapping tiles
Published 2019“…A texture feature extraction algorithm based on (standard deviation of intensities and entropy) were developed and compared in the third component to identify overturned tiles from white tiles. …”
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The Development of an Algorithm to Determine Axial Capacity of Piles from SPT N-Values
Published 2000“…The developed IT was used for all cases of algorithm testing. …”
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Enhanced Medium Access Control Protocol for Resolving Node Misbehavior in Wireless Networks
Published 2007“…The first scheme correlates misbehavior with the traffic characteristics generated by the node deviating from the stipulated protocol. It eliminates the stereotyping of deviation by deriving a multi-scale deviation definition ranging from misbehavior to the underestimation of resource allocation. …”
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Development of rule-based advisory system from modified hazard and operability study on fatty acid fractionation column
Published 2003“…A modified Hazard and Operability Study (HAZOP) algorithm has been proposed in order to develop process deviation relationships between two study nodes in HAZOP study. …”
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Development of cardioid based graph ECG heart abnormalities classification technique
Published 2015“…From the Cardioid loop, we evaluated the area and standard deviation to differentiate between normal and abnormal heartbeats. …”
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Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive
Published 2023Conference Paper -
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Prediction and investigation of surface response in high speed end milling of Ti-6Al-4V and optimization by genetic algorithm
Published 2010“…Meanwhile, a time trend was observed in residual values between model predictions and experimental data, reflecting little deviations in surface roughness prediction. …”
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Coordinate-Descent Adaptation over Hamiltonian Multi-Agent Networks
Published 2021“…We draw a comparison between the proposed coordinate-descent incremental LMS (CD-ILMS) algorithm and the ILMS algorithm in terms of convergence rate and computational complexity. …”
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Automated negative lightning return strokes characterization using brute-force search algorithm
Published 2022“…Hence, this study proposed the development of an automated negative lightning return strokes characterization using a brute-force search algorithm. …”
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Automated negative lightning return strokes characterization using brute-force search algorithm
Published 2022“…Hence, this study proposed the development of an automated negative lightning return strokes characterization using a brute-force search algorithm. …”
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Automated Negative Lightning Return Strokes Characterization Using Brute-Force Search Algorithm
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Sleep apnea detection using cardioid based grap
Published 2016“…From the Cardioid loop, we evaluated the area and standard deviation to differentiate between normal and abnormal heartbeats. …”
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Validation on 3D surface roughness algorithm for measuring roughness of psoriasis lesion
Published 2010“…For roughness determination, a polynomial surface fitting is used to estimate base surface followed by a subtraction between rough and base surface to give height map matrix (surface deviations). …”
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Hybridization of modified sine cosine algorithm with tabu search for solving quadratic assignment problem
Published 2022“…Sine Cosine Algorithm (SCA) is a population-based metaheuristic method that widely used to solve various optimization problem due to its ability in stabilizing between exploration and exploitation. …”
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