Search Results - (( based extraction path algorithm ) OR ( java application learning algorithm ))
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Whale Optimisation Freeman Chain Code (WO-FCC) extraction algorithm for handwritten character recognition
Published 2021“…In this paper, we propose a metaheuristic method for feature extraction algorithm with Whale Optimisation Algorithm (WOA) based HCR. …”
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Graph processing hardware accelerator for shortest path algorithms in nanometer very large-scale integration interconnect routing
Published 2007“…The routing problems in VLSI physical design are, in essence, shortest path problems in special graphs. It has been shown that the performance of a graph-based shortest path algorithm can severely be affected by the performance of its priority queue. …”
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Thesis -
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Very Large Scale Integration Cell Based Path Extractor For Physical To Layout Mapping In Fault Isolation Work
Published 2017“…This development and study of the path extract method carries significance in areas of EDA and debug diagnosis work.…”
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STEP-NC Interpolator for General 2D and 3D Parametric Curve / Dzullijah Ibrahim...[et al.]
Published 2017“…A STEP-NC interface to OAPC-NC interpolator using STEP-NC tool path data is proposed and developed. A hierarchical-based algorithm is used to extract the tool path data from STEP-NC tool path file of a product model. …”
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Feature extraction: hand shape, hand position and hand trajectory path
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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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Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine
Published 2023“…Also, a corridor extraction algorithm has been developed to extract the region of interest (ROI) around the transmission towers. …”
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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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Deep Learning-Based Geomagnetic Navigation Method Integrated with Dead Reckoning
Published 2023“…To address these issues, we propose a coarse-to-fine geomagnetic indoor localization method based on deep learning. First, a multidimensional geomagnetic feature extraction method is presented which can extract magnetic features from spatial and temporal aspects. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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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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Optimization And Execution Of Multiple Holes-Drilling Operations Based On STEP-NC
Published 2021“…The newly developed system combines between open CNC control system and ant colony optimization (ACO) algorithm by using LabVIEW software. A developed system is based on STEP-NC interpretation, optimization, 3D simulation, and automatic document generation modules that have been used to verify and validate the system in extract and optimize STEP-NC drilling codes. …”
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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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Quantum Processing Framework And Hybrid Algorithms For Routing Problems
Published 2010“…At first, the hybrid architecture was designed for the quantum algorithms. Then, the relationship between classical and quantum parts of the hybrid algorithms were extracted and the main stages of the hybrid algorithm were determined. …”
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