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Epileptic Seizure Detection Using Singular Values And Classical Features Of EEG Signals
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Final Year Project -
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Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…We modified the classical bootstrapping algorithm by developing a mechanism based on the robust LTS method to detect the correct number of outliers in the each bootstrap sample. …”
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Thesis -
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Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…Therefore, the robust location and covariance matrix based on the MRFCH is used instead of the classical estimators to tackle these problems. The proposed algorithm has been applied to detect outliers in the high dimensional data. …”
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Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…Many optimisation-based intrusion detection algorithms have been developed and are widely used for intrusion identification. …”
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Hybrid Neural Networks and Genetic Algorithm for Fault Detection and Diagnosis of a Plant
Published 2008“…The recent work presents a new method of fault diagnosis based on artificial neural networks and genetic algorithms. The networking is under development to resolve this problem. …”
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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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Simulation Models for Straight Lines Images Detection Using Hough Transform
Published 2001“…It enables, in particular, to develop autoadaptive, fast algorithms for the detection of automated arc line identification. …”
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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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Robust techniques for linear regression with multicollinearity and outliers
Published 2016“…In addition, although GDFF can detect multiple IO, it has a tendency to detect lesser IO as it should be due to swamping and masking effect. …”
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Deep learning-based single-shot and real-time vehicle detection and ego-lane estimation
Published 2020“…Moreover, we achieve a 63.7% mAP for vehicle detection on our dataset. The proposed architecture shows that an elaborate pipeline of multiple steps to develop an algorithm for the FCWS application is eliminated. …”
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Sensing Textual Plagiarism
Published 2006“…To realize this, an application that is equipped with the capability of detecting plagiarism from occurring in a textual document is to be developed. …”
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Final Year Project -
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Fuzzy support vector machine based fall detection method for traumatic brain injuries: A new systematic approach of combining fuzzy logic with support vector machine to achieve hig...
Published 2022“…Therefore, it is critical to develop a smart fall detection system. Many approaches have been proposed in wearable-based systems. …”
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Review of CNN in aerial image processing
Published 2023“…In recent years, deep learning algorithm has been used in many applications mainly in image processing of object detection and classification. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Investigation of data encryption algorithm for secured transmission of electrocardiograph (ECG) signal
Published 2018“…This study demonstrates contributions by applying these ideas to two classical problems on the natural algorithm calculation and signal processing.…”
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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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