Search Results - (( cross evaluation using 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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Midblock signalled pedestrian crossing : alternative controller algorithms
Published 2000“…The measures of performance of all algorithms are evaluated using a fully calibrated and validated simulation program. …”
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Phylogenetic tree classification system using machine learning algorithm
Published 2015“…In addition to that, 10-fold cross-validation is also conducted in the evaluation. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Case Slicing Technique for Feature Selection
Published 2004“…The maximum and minimum accuracy obtained is 99% and 96% respectively, based on the evaluation approach. The most commonly used evaluation technique is called k-cross validation technique. …”
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A new Doppler Spread Estimation Algorithm Based on Zero Crossings of The Auto-correlation
Published 2010“…The proposed algorithm relies on the zero crossing point of the auto-correlation function of the in-phase part of the received signal. …”
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Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in
Published 2021“…Here, we are interested in three reaction channels, which are109Ag (α, 2n),111Cd (p, n) and112Cd (p, 2n), in the production of111 In. A random forest algorithm was used to generate nuclear cross-section data by using an experimental nuclear cross-section from the Experimental Nuclear Reaction Data (EXFOR) database as input. …”
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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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Block matching algorithms for motion estimation using modified Cross-Diamond-Hexagonal search / Abd Razak Mahmud
Published 2008“…Step search (4SS), Diamond search (DS), Adaptive Rood Pattern Search (ARPS) and Cross-Diamond-Hexagonal search (CDHS). This algorithm basically employs two crossshaped search patterns consecutively in the very beginning steps and switch using diamond-shaped patterns. …”
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Performance evaluation of caching placement algorithms in named data network for video on demand service
Published 2016“…The purpose of this study is to evaluate the performance of caching placement algorithms (LCD, LCE, Prob, Pprob, Cross, Centrality, and Rand) in Named Data Network (NDN) for Video on Demand (VoD). …”
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A comparative study of the classification of skin burn depth in human
Published 2017“…The dataset was evaluated using both a supplied test set and 10-fold cross validation methods. …”
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VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern
Published 2012“…Two methods of optimization are used for CBLL. They are Cross Entropy and also Genetic Algorithm. …”
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Cross-project software defect prediction
Published 2022“…In this work, five research questions covering the classification algorithms, dataset, independent variables, performance evaluation metrics used in CPDP studies, and as well as the performance of individual machine learning classification algorithms in predicting software defects across different software projects were addressed accordingly. …”
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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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Evaluation of the Transfer Learning Models in Wafer Defects Classification
Published 2022“…A 20-fold cross-validation was used to validate the score metrics. …”
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Cross-domain analysis of YOLOv8 and faster R-CNN models for enhanced precision in maritime object detection
Published 2025“…Using comprehensive intra-domain and cross-domain evaluations, we analyzed precision, recall, and mean Average Precision (mAP) metrics over 50 training epochs. …”
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