Search Results - (( basic based ((e algorithm) OR (tree algorithm)) ) OR ( java implication based algorithm ))
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Tree physiology optimization on SISO and MIMO PID control tuning
Published 2018“…This paper presents the tuning of PID controller for single-input single-output (SISO) and multiple-input multiple-output (MIMO) control systems using tree physiology optimization (TPO). TPO is a metaheuristic algorithm inspired from a plant growth system derived based on the idea of plant architecture and Thornley model (TM). …”
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Tree physiology optimization on SISO and MIMO PID control tuning
Published 2018“…This paper presents the tuning of PID controller for single-input single-output (SISO) and multiple-input multiple-output (MIMO) control systems using tree physiology optimization (TPO). TPO is a metaheuristic algorithm inspired from a plant growth system derived based on the idea of plant architecture and Thornley model (TM). …”
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Reliability of bench-mark datasets for crowd analytic surveillance
Published 2015“…The diverseness of these databases are assessed, with respect to the performance of the basic algorithms using qualitatively and quantitatively. …”
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Reliability of bench-mark datasets for crowd analytic surveillance
Published 2015“…The diverseness of these databases are assessed, with respect to the performance of the basic algorithms using qualitatively and quantitatively. …”
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Optimized scheme for efficient and scalable key management in IEEE 802.16e-based networks
Published 2015“…To generate, update and distribute the keys for secure communication over IEEE 802.16e, the MBS applies Multicast and Broadcast Rekeying Algorithm (MBRA) as a basic key management algorithm. …”
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6
Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024“…One of the prominent methods to improve machine learning accuracy is by using ensemble method which basically employs multiple base models. In this paper, the stacking ensemble method is used to increase the accuracy of the machine learning model for LSM where the base (first-level) learners use five ML algorithms namely decision tree (DT), k-nearest neighbor (KNN), AdaBoost, extreme gradient boosting (XGB) and random forest (RF). …”
Conference Paper -
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Fast clock tree generation using exact zero skew clock routing algorithm
Published 2009“…The routing algorithm used in this tool is based on the Exact Zero Skew Routing Algorithm. …”
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The effect of different distance measures in detecting outliers using clustering-based algorithm for circular regression model
Published 2017“…Here, we introduce the similarity distance based on Euclidean distance for circular model and obtain a cluster tree using the single linkage clustering algorithm. …”
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An algorithm for the selection of planting lining technique towards optimizing land area: an algorithm for planting lining technique selection
Published 2012“…The huge possible solution and uncertain result make the problem complex and it requires an intelligent expect for the solution. The algorithm is designed based on two basic works in which to calculate number of trees and divide an area into blocks. …”
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Zero skew clock routing for fast clock tree generation
Published 2008“…The routing algorithm used in this tool is based on the Exact Zero Skew Routing Algorithm. …”
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Proceeding Paper -
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…Prior to localization of the base of young corn tree, skeletonizing operation is performed to get the basic shape of the object. …”
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Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza
Published 2021“…For BrC detection, an efficient and reliable model namely Ensemble BrC Detection Network (EBrC-Net) and three misclassification reduction (McR) algorithms are developed. The proposed EBrC-Net model is based on deep learning (DL) based approach. …”
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Recovery of tree community composition across different types of anthropogenic disturbances and characterization of their effect using Landsat time series in Bornean tropical monta...
Published 2022“…We also investigated the use of metrics from spectral trajectories of a Landsat time series (LTS) change detection algorithm (LandTrendr) to identify characteristics of disturbance events and their linkage to the recovery of tree community composition, with field validation. …”
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Stereo matching algorithm using census transform and segment tree for depth estimation
Published 2023“…Basically, the proposed framework in this article is developed through a series of functions. …”
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Image Based Oil Palm Tree Crowns Detection
Published 2020“…Image Based Oil Palm Tree Crowns Detection system is a basic system that enables the detection of oil palm tree crowns from red, green and blue (RGB) aerial images. …”
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Final Year Project Report / IMRAD -
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Empirical study on intelligent android malware detection based on supervised machine learning
Published 2020“…More significantly, this paper empirically discusses and compares the performances of six supervised machine learning algorithms, known as K-Nearest Neighbors (K-NN), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), Naïve Bayes (NB), and Logistic Regression (LR), which are commonly used in the literature for detecting malware apps.…”
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
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Reliability of bench-mark datasets for crowd analytic surveillance
Published 2015“…The diverseness of these databases are assessed, with respect to the performance of the basic algorithms using qualitatively and quantitatively. …”
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