Search Results - (( process information modelling algorithm ) OR ( java application learning 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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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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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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Arabic word stemming algorithms and retrieval effectiveness
Published 2023Subjects:Conference Paper -
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Development Of Machine Learning User Interface For Pump Diagnostics
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Treemap algorithm for dynamic stormwater infiltration movement into soil surface
Published 2015“…To date, 3D research has focused on city models and Building Information Modeling (BIM) but studies that involve 3D modelling of natural processes (movement of air and fluid) is rare. …”
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Treemap algorithm for dynamic stormwater infiltration movement into soil surface
Published 2015“…To date, 3D research has focused on city models and Building Information Modeling (BIM) but studies that involve 3D modelling of natural processes (movement of air and fluid) is rare. …”
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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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M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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Monograph -
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Mapreduce algorithm for weather dataset
Published 2017“…Results from the proposed algorithm have been compared with the existing model known as AWK (Alfred Aho, Peter Weinberger, and Brian Kernighan) model. …”
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Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images
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Automated bilateral negotiation with incomplete information in the e-marketplace.
Published 2011“…In one-side incomplete information problem, comparison between MGT algorithm and smart random trade-offs (SRT) algorithm indicates that MGT outperforms SRT. …”
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Complex-valued nonlinear adaptive filters for noncircular signals
Published 2017“…This is because of the under-modelling of the underlying system or due to the inherent blindness of the algorithm (for example, the CNGD algorithm) to capture the full second-order statistical information available in the signal. …”
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Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model
Published 2024“…After establishing this model's rules and probability theory, a method was designed to support the Top-k processing algorithm over the SWM until the Top-k potential candidates expired. …”
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Utilizing Classifier Algorithms to Analyze Lending Activity at The Sumsel Babel Bank's Pagar Alam Branch
Published 2023“…In this research, a classifier algorithm was applied to create a prediction model to predict the customer before the lending application was used and process to pass the lending process in Bank Sumsel, branch Pagar Alam. …”
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Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting
Published 2021“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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