Search Results - (( pressure distribution selection algorithm ) OR ( property distribution learning algorithm ))*
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Peak pressure analysis of foot plantar distribution based on image processing algorithm
Published 2018“…The other main goal of this work is to create an algorithm which has the ability to formulate accurately and reliably the distribution of pressure over the foot plantar. …”
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Transient analysis for leak signature identification based on Hilbert Huang transform and integrated kurtosis algorithm for z-notch filter technique
Published 2018“…In a recent study, the analysis of pressure transient signals could be seen as an accurate and low-cost method for leak and feature detection in water distribution systems. …”
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3
Development of intelligent leak detection system based on artificial pressure transient signal using integrated Kurtosis-based Algorithm for Z-filter Technique (I-Kaz)
Published 2017“…In recent studies, the analysis of pressure transient signal can be seen as an accurate and low-cost method for the leak and feature detection in water distribution system. …”
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Development of Intelligent Leak Detection System Based on Artificial Pressure Transient Signal Using Integrated Kurtosis-Based Algorithm for Z-Filter Technique (I-Kaz) / Hanafi.M.Y...
Published 2017“…In recent studies, the analysis of pressure transient signal can be seen as an accurate and low-cost method for the leak and feature detection in water distribution system. …”
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A Study of Ikaz and Normalized Hilbert transform for solving faulty in pipeline distribution system using transmission line modelling
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Pipe Leak Diagnostic Using High Frequency Piezoelectric Pressure Sensor And Automatic Selection Of Intrinsic Mode Function
Published 2017“…In a recent study, the analysis of pressure transient signals could be seen as an accurate and low-cost method for leak and feature detection in water distribution systems. …”
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8
A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution
Published 2018“…An intelligence strategy called quasi-oppositional based learning is incorporated into the proposed algorithm to enhance its convergence property, exploration capability, and solution optimality. …”
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Exploring The Synergy Of Template And Machine Learning Methods To Improve Photometric Redshifts
Published 2024“…The first method involves using template fitting to model the spectral energy distribution of a galaxy and estimate its redshift. The second method uses machine learning algorithms to learn the relationship between a galaxy’s photometric properties and its redshift, based on a training set of spectroscopic redshift measurements. …”
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10
Fault identification in pipeline system using normalized hilbert huang transform and automatic selection of intrinsic mode function
Published 2018“…Pressure transient analysis have been widely studied for monitoring of pipeline healthy and condition assessment in water distribution systems. …”
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Application of Ikaz and direct quadrature for solving leakage in pipeline distribution by using transmission line modelling
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CFD modeling on coal properties towards the burnout efficiency
Published 2024text::Final Year Project -
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A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
Published 2016“…In supervised learning, class imbalanced data set is a state where the class distribution is not uniform among the classes. …”
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14
Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation
Published 2020“…Subsequently, the Small Johnson Data Transformation is employed to transformed raw samples to a Normal Distribution. Next, samples are generated from Normal Distribution. …”
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15
A lightweight graph-based pattern recognition scheme in mobile ad hoc networks.
Published 2012“…Its one-cycle learning and divide and distribute recognition task approach allows DHGN to detect similar patterns in short of time. …”
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A New Robust Weak Supervision Deep Learning Approach for Reservoir Properties Prediction in Malaysian Basin Field
Published 2023“…In this work, we develop a robust approach to deep learning-based seismic inversion to predict elastic properties from seismic data. …”
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Formulating the plastic deformation expression on coated substrate as a coating selection tool
Published 2017“…The verified coating selection tool can contribute to knowledge in suitable material selection for coating based 0n its performance…”
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Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing
Published 2018“…The prevention model uses principal component analysis and linear discriminant analysis with a hybrid, nature-inspired metaheuristic algorithm called Ant Lion optimisation for feature selection and artificial neural networks to classify and configure the cloud server. …”
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Shear strength test on unsaturated soil using natural microscopic surface tension force / Basharudin Abdul Hadi
Published 2017“…There were two sets of algorithms in developing the UPLRB ANN model and every algorithm set consisted of model inputs data preparation, neural network 29 30 base of the specimen until the flow ceased..…”
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