Search Results - (( frames extraction efficient algorithm ) OR ( java application learning algorithm ))
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Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…Classification can be done precisely and efficiently for objects identified in the future frame. …”
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Final Year Project / Dissertation / Thesis -
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Fast adaptive motion estimation search algorithm for H.264 encoder
Published 2012“…Multiple reference-frame motion estimation can gain better compression efficiency of video coding for H.264 than previous video standards (e.g MPEG-2,H.263, JPEG). …”
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Thesis -
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HARMONIC MITIGATION USING SHUNT ACTIVE POWER FILTER BASED ON SYNCHRONOUS REFERENCE FRAME THEORY
Published 2023“…This project focuses on the design aspects of a three-phase Shunt Active Power Filter (SAPF) as an efficient harmonic mitigation device. The SAPF utilizes the synchronous reference frame theory and a hysteresis Proportional-Integral (PI) control algorithm to extract harmonic components and provide compensating currents. …”
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Final Year Project Report / IMRAD -
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Particle swarm optimization with deep learning for human action recognition
Published 2021“…The regions extracted by these algorithms are larger than the region of interest and stretches towards the direction of movement. …”
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Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
Published 2012“…The first contribution is automatic detection of seed points which serve as a prerequisite step for centerline extraction algorithm. The solution consists of an algorithm for automatic collection of candidate seed points using efficient grid line searching mechanism and a validation method which uses local geometric and intensity based features as effective validation rules to discriminate between the actual seed point and false alarms. …”
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Detection and classification of bleeding region in WCE images using color feature
Published 2017“…In case of bleeding, color is a very important feature for an efficient information extraction. Our algorithm is based on statistical color feature analysis and we use support vector machine (SVM) to classify WCE video frames into bleeding and non-bleeding classes with a high processing speed. …”
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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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Shunt active power filter with modified synchronous reference frame technique and fuzzy logic current controller for harmonic mitigation
Published 2017“…From both results, the proposed algorithms show good performances when compared with the conventional algorithms. …”
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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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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 hybrid method for endocardial contour extraction of right ventricle in 4-slices from 3D echocardiography dataset
Published 2014“…In Phase III, the RV cavity region was segmented by generating intensity threshold which was used for once for all frames. Finally, Phase IV is proposed to extract the RV endocardial contour in a complete cardiac cycle using a combination of shape-based contour detection and improved radial search algorithm. …”
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Enhanced control algorithms for multilevel inverter-based shunt active power filter
Published 2017“…Lastly, a new current harmonics extraction algorithm known as simplified synchronous reference frame (SSRF) algorithm is developed, and with its simplified features, it is able to respond quickly to various system conditions while maintaining high accuracy. …”
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Slam-based mapping for object recognition
Published 2018“…The SIFT (Scale-Invariant Feature Transform) is used to extract features from the current frame and match with the object database to identify and recognize the object whenever the robot come across the object. …”
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Final Year Project / Dissertation / Thesis -
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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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Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…Close results between the performance of the developed sorting algorithm and SVM algorithm demonstrate that it is satisfactory and efficient. …”
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Lane markings detection based on e-maxima transformation and improved hough
Published 2012“…In the near field-of-view, Hough transform will be applied to detect lane markers after image noise filtering and lane features extraction by E-MAXIMA. The experimental results based on collected video data under complex illumination conditions had proved that the proposed algorithm is able to detect the road lane marking efficiently achieving a correction rate of 95.33%. …”
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