Search Results - evolution ((selection techniques) OR (detection techniques))
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1
Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…In this work, a new islanding detection technique is proposed based on combination of Slantlet Transform and Ridgelet Probabilistic Neural Network to detect islanding conditions from other disturbance for a 250-kW PV array connected to a typical North American distribution grid and a wind farm power generation system. …”
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2
Metric-based code smell detection technique for python software
Published 2018“…There are few literatures that show metric-based approaches have been used to detect code smells in Python Software. However, the techniques require selection of metrics and a tedious calibration of threshold upon which detection is done. …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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Islanding detection method using ridgelet probabilistic neural network in distributed generation
Published 2019“…One of the challenging issues for a grid-connected embedded generation is to find a suitable technique to detect an islanding problem. The technique must be able to differentiate islanding from other grid disturbances and disconnect distributed generation (DG) rapidly to prevent from safety hazards, power quality issues, equipment damage, as well as voltage and frequency instability. …”
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Optimized differential evolution algorithm for linear frequency modulation radar signal denoising
Published 2013“…The main contention of this thesis is to investigate the development of new optimization technique based on Differential Evolution algorithm (DE), applied for radar signal denoising application. …”
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Comparison of detection model using machine learning on android malware / Muhammad Ikmal Ihsan
Published 2022“…This project utilized supervised machine learning techniques such as SVMs, Naive Bayes and Random Forest to build an android malware detection model. …”
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Multiplex platforms in biosensor based analytical approaches: opportunities and challenges for the speciation of animal species in food chain
Published 2023“…The genetic information contained in DNA is a precious component. Identifying selective DNA sequences has become an integral part of all biological studies, necessitating the evolution of various authentication techniques, including polymerase chain reaction (PCR) assays, nanotechnology-based biosensors and microarray devices for the tracing and trailing of various DNA targets. …”
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Vision Based Calibration and Localization Technique for Video Sensor Networks
Published 2009“…Very few of these localization algorithms use vision based technique. In this work, a vision based technique is proposed for localizing and configuring the camera nodes in video wireless sensor networks. …”
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Spatial domain image steganography based on right most digit replacement and parity bit differencing / Mehdi Hussain
Published 2017“…There has been noteworthy research on image based steganography techniques to overcome the various challenges i.e. lower embedding capacity, imperceptibility, embedding efficiency and robustness against steganalysis detection attacks. …”
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10
Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu
Published 2018“…The results showed that the proposed control techniques had better performance as compared to the C-MPC.…”
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11
Digital technologies evolution in swiftlet farming: a systematic literature review
Published 2024“…The findings were classified into three main themes: smart monitoring and control systems, advanced bird detection techniques, sustainable practices and innovative approaches, specifically in the manufacture of edible bird nests. …”
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A static analysis approach for android permission-based malware detection systems
Published 2021“…Therefore, adequate security evaluations that detect Android malware are crucial. Two techniques can be used in this regard: Static analysis, which meticulously examines the full codes of applications, and dynamic analysis, which monitors malware behaviour. …”
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Mobile Application: Mobile Assistance for Visually Impaired People - Speech Interface System (SIS)
Published 2023Conference Paper -
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A Detection Method for Text Steganalysis Using Evolution Algorithm (EA) Approach
Published 2012“…Therefore, this research employed a detection factor based on the evolution algorithm method for text steganalysis. …”
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15
Multislice CT angiography in cardiac imaging. Part II: Clinical applications in coronary artery disease
Published 2010“…Rapid improvements in multislice CT scanners over the last decade have allowed this technique to become a viable and effective alternative to invasive coronary angiography in selected patients. …”
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Broadening selection competitive constraint handling algorithm for faster convergence
Published 2020“…The median convergence traces have been compared with two different algorithms based on differential evolution, i:e: Ensemble of Constraint Handling Techniques (ECHT) and Stochastic Ranking Differential Evolution (SRDE). …”
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Feature selection optimization using hybrid relief-f with self-adaptive differential evolution
Published 2017“…Hence, feature selection is embedded to select the most meaningful features based on their rank. …”
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Conventional methods and future trends in antimicrobial susceptibility testing
Published 2023“…Genotypic methods detect a specific genetic marker associated with resistant phenotypes using molecular amplification techniques and genome sequencing. …”
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A novel cell-selection optimization handover for long-term evolution (LTE) macrocellusing fuzzy TOPSIS
Published 2016“…This improvement stems from the highly reliable cell-selection technique that leads to increased throughput of the cell with a successful handover. …”
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A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising
Published 2015“…The main intention of this study was to investigate the development of a new optimization technique based on the differential evolution (DE) algorithm, for the purpose of linear frequency modulation radar signal de-noising. …”
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