Search Results - (( parameter validation study algorithm ) OR ( parameter detection method algorithm ))
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Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…Thus, this study proposes the development of algorithms to detect and classify jamming attacks using a set of parameters on the physical layer and MAC in MANET. …”
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2
An improved method using fuzzy system based on hybrid boahs for phishing attack detection
Published 2022“…The experiment was executed by using k-fold cross validation techniques for predicting the classification algorithm performance. …”
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3
A pothole boundary detection algorithm using image segmentation technique in urban road
Published 2025“…Employing Otsu's method and Canny edge detection, the algorithm seeks to accurately identify and contour the edges of potholes in urban road imagery. …”
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Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…This resulted in the high accuracy of the damage detection algorithm. The second proposed method seeks to identify damage in the structural parameters of linear and nonlinear systems. …”
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5
Defect recognition method for magnetic leakage detection in oil and gas steel pipes based on improved neural networks / Wang Jie ... [et al.]
Published 2024“…Traditional BP networks face challenges, including parameter determination and slow convergence, addressed through genetic algorithms' global search capabilities. …”
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Defect recognition method for magnetic leakage detection in oil and gas steel pipes based on improved neural networks
Published 2024“…Traditional BP networks face challenges, including parameter determination and slow convergence, addressed through genetic algorithms' global search capabilities. …”
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Detection of the spread of Covid-19 in Indonesia using K-Means Clustering Algorithm / Mohammad Yazdi Pusadan ... [et al.]
Published 2023“…The implementation of the K-Means Clustering algorithm for detecting the level of spread of COVID-19 data in Indonesia by using the parameter k=3 is quite good with areas in Indonesia that have a high the spread of COVID-19 and the results of the cluster validity test get silhouette values on O = (Total Case, Total Death) and P = (Total Case, Total Death, Total Recovered) have the same cluster value, which is 0.93 which means the cluster quality is very good.…”
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Book Section -
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Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti
Published 2022“…The study set four main objectives to achieve its aim: (1) To analyse RGB and multispectral sensor calibration, (2) To evaluate the optimal flight parameters for pothole modelling production using RGB imagery, (3) To investigate various classifier algorithms and band combinations for pothole region areas using multispectral imagery and (4) To validate geometric information from the extracted pothole. …”
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9
Heart disease prediction using artificial neural network with ADAM optimization and harmony search algorithm
Published 2025“…This performance is validated through rigorous comparative assessments against various classification algorithms and state-of-the-art methods, revealing notable advantages in terms of predictive precision, computational efficiency, and adaptability to real-world clinical scenarios. …”
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Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…The overall accuracy of the Support Vector Machine SVM and Random Forest RF classifiers revealed that three of the six algorithms exhibited higher ranks in the landslide detection. …”
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12
A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee
Published 2023“…Hence, this study aims to bridge the research gap of using different water quality parameters in water quality assessment through artificial intelligence. …”
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13
Customer analysis with machine vision
Published 2023“…Due to time constraints, several components and algorithms could not be addressed in this study. Future work will focus on improving facial recognition and proposing new methods to explore different approaches.…”
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Final Year Project / Dissertation / Thesis -
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Application Studies, Part-I: Model Identification and Validation
Published 2018“…In Chaps. 4 and 5, all the theories needed for developing fault detection relevant models in either static or dynamic conditions, and a method for estimating their uncertainties, respectively, have been thoroughly discussed. …”
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Application Studies, Part-I: Model Identification and Validation
Published 2018“…In Chaps. 4 and 5, all the theories needed for developing fault detection relevant models in either static or dynamic conditions, and a method for estimating their uncertainties, respectively, have been thoroughly discussed. …”
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Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
Published 2025“…This study investigated the feasibility and effectiveness of image-based techniques using advanced deep learning algorithms to quantify desiccation cracks in expansive soils. …”
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Final Year Project / Dissertation / Thesis -
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Islanding detection in grid-connected photovoltaic distributed generation using inverter DC-Link voltage
Published 2017“…Therefore, its occurrence must be detected within two seconds. The aim of this thesis is to study the viability of using the inverter DC-Link voltage as a parameter for passive islanding detection. …”
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Nonlinear vibration based modeling for damage detection of reinforced concrete beams / Muhammad Usman Hanif
Published 2018“…Therefore, the structural health monitoring paradigm in civil engineering is in need of an efficient, economical, generally applicable and a realistic global damage detection method. The research on damage detection methods carried out in the past uses vibration characteristics for damage detection. …”
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Rockfall hazard assessment based on airborne laser scanning data and GIS in tropical region
Published 2016“…The result shows the barrier in suggested location can effectively aid in rockfall hazard mitigation. The outcomes of this study prove the ability of the proposed and applied methods to make valid detection and prediction for rockfall phenomena. …”
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Developing individualised therapy for colistin through application of pharmacokinetic model tailored for critically ill Malaysian patients utilizing the HPLC-FLD
Published 2025“…The conversion of CMS to colistin in vivo varies greatly, leading to variations in plasma colistin concentration and pharmacokinetic parameters in critically ill patients. A novel analytical method is necessary for any pharmacokinetic studies to succeed. …”
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