Search Results - (( java application learning algorithm ) OR ( _ variation method algorithm ))
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Thesis -
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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Variation over time of the Perez calibration algorithm for ground-based spectrometer
Published 2016“…A spectrometer is likely to perform as expected over a period of time if calibrated with suitable method. This paper aims to study the variation of the Perez calibration algorithm over time for a spectrometer. …”
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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A new algorithm to estimate attenuation using frequency shift methods
Published 2012“…The proposed algorithm has been tested to gauge its performance using three different scenarios; Q variation, travel time variation, and signal to noise ratio (SNR) variation. …”
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Model-based hybrid variational level set method applied to lung cancer detection
Published 2024“…This paper presents a novel model-based hybrid variational level set method (VLSM) tailored for lung cancer detection. …”
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Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method
Published 2020“…In this research, Total Variation (TV) regularization method was incorporated with the Forward-Backward Time-Stepping (FBTS) algorithm to deal with the ill-posedness of the inverse scattering problem in the time domain. …”
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Enhanced variational iteration method using adomian polynomials for solving the chaotic lorenz system
Published 2023“…The core of this algorithm is made by surrogating the nonlinear terms in the variational iteration method with Adomian polynomials. …”
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A reliable algorithm of fourth–order boundary value problems using modified variational iteration method
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Working Paper -
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Variation over time of the Du Mortier Calibration algorithm for ground-based spectrometer.
Published 2016“…The purpose of this paper is to study the variation over time of the Du Mortier calibration algorithm used in a spectrometer for atmospheric condition measurement. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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Thesis -
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Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system
Published 2010“…A method for robust controllers design using restricted structure controllers such as PID, Lag-Lead and deadbeat control algorithms is presented. …”
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Image denoising using combined higher order non-convex total variation with overlapping group sparsity
Published 2019“…A comparative analysis of the proposed method with the overlapping group sparse total variation, the Lysaker, Lundervold and Tai model, the total generalized variation and the non-convex higher order total variation, was carried out for image denoising. …”
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