Search Results - (( structures reduction generating 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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A high speed and well-structured partial product generator for parallel multiplier
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Computer-generated fractals with medical application in trabecular bone structure / Hizmawati Madzin
Published 2006“…Fractal can be described as a self-similarity, irregular shape and scale independent object. The generation of each fractal is dependent on the algorithm used. …”
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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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Dominance analyses reduction in skyline query processing over data stream with data mining technique
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New methods of partial transmit sequence for reducing the high peak-to-average-power ratio with low complexity in the ofdm and f-ofdm systems
Published 2019“…Secondly, two novel algorithms, Grouping Complex iterations algorithm (G-C-PTS), and Gray Code Phase Factor algorithm (Gray-PF-PTS) have been developed to reduce the computational complexity for finding the optimum phase rotation factors in the time domain part of the PTS structure. …”
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Problem restructuring in interger programming for reduct searching
Published 2003“…In addition, the length of reducts generated by both approaches are also compared to ensure that no quality deterioration occurred along the way. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Optimization Of 3d Reconstruction Surface Rendering Algorithm For Osferion Bone Void Filling
Published 2023“…Among the 3D reconstruction algorithms, surface rendering algorithms are more suitable for effectively visualizing the bones’ structure and shape. …”
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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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Out-of-core simplification with appearance preservation for computer game applications
Published 2006“…The finer the octree, thus the finer mesh will be generated. Overall, the proposed algorithm is capable in simplifying large datasets with pleasant quality and relatively fast. …”
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Out-of-core simplification with appearance preservation for computer game applications
Published 2006“…The finer the octree, thus the finer mesh will be generated. Overall, the proposed algorithm is capable in simplifying large datasets with pleasant quality and relatively fast. …”
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The development of level of detail (LOD) technique in 3D computer graphics application
Published 2009“…The finer the octree, the finer will be the mesh being generated. Overall, the proposed algorithm is capable in simplifying large viii datasets with pleasant quality and relatively fast. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…The experimental results showed that the accuracy of the algorithm over the NSL-KDD dataset was 99.72%, with a memory reduction of 10%. …”
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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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