Search Results - (( location detection means algorithm ) OR ( whale optimization max algorithm ))*
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Artificial neural network-salp-swarm algorithm for stock price prediction
Published 2024“…Additionally, the SSA-ANN model is compared with other two hybrid models: the ANN optimized by the Whale Optimization Algorithm (WOA-ANN) and Moth-Flame Optimizer (MOA-ANN), as well as a single model, namely the Autoregressive Integrated Moving Average (ARIMA). …”
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Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms
Published 2025“…A comprehensive data preprocessing pipeline was implemented, including missing value treatment, outlier removal, and feature normalization using Min-Max scaling. Three distinct metaheuristic algorithms were investigated: Barnacles Mating Optimizer (BMO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Whale Optimization Algorithm (WOA), each integrated with CatBoost to optimize critical parameters including learning rate, tree depth, regularization, and bagging temperature. …”
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3
Design Optimization of a Gas Turbine Engine for Marine Applications: Off-Design Performance and Control System Considerations
Published 2022“…Meta-heuristic optimizations, namely a genetic algorithm (GA) and a whale optimization algorithm (WOA), are applied to optimize the designed control system. …”
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Comparative analysis of segmented correlation trimmed mean algorithm for locating random and static partial discharges in power cables
Published 2024“…Recently segmented correlation trimmed mean (SCTM) algorithm had been applied to double-end PD measurement method. …”
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Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…The error measurements of the proposed method such as Mean Absolute Percentage Error, Mean Absolute Error, And Root Mean Square Error for islanding detection are less than 0.02% for ideal and noisy conditions which shows that the algorithm is not sensitive to noise. …”
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7
Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…Therefore, a new reference-free damage detection algorithm is proposed. The RWPE measurements of different sensor-to-sensor pairs are applied for defining the reference-free damage index (RDI) of each sensor location. …”
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Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms
Published 2020“…The ensemble learning technique, changes of activation function in Neural Network as well as the unsupervised learning (k-means clustering algorithm and Friis Transmission Equation) was also applied to classify the multiclass classification in pallet-level. …”
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9
Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…They used the classical bootstrap method to estimate the bootstrap location and the scale parameters based on calculating the Mean of Squared Residual (MSR). …”
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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“…The proposed algorithm has been applied to detect outliers in the high dimensional data. …”
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11
Unravel parking difficulty via relative chain code algorithm / Chan Huey Min
Published 2005“…Unravel Parking Difficulty via Relative Chain Code Algorithm is a parking system which will help vehicles' owner to maneuver their means of transportation without the need of scrupulously locating a vacant parking space in the parking bay. …”
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…They are 1) cue method; 2) title method; 3) keyword method; and 4) location method. In the second experiment, we want to measure the performance of the algorithm against human judgment to identify the summarizing strategies using the precision, recall, F-measure score and accuracy rate. …”
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Tracking Pointer At Endoscopic Images For Telepointer Remote Guided
Published 2022“…The second aim is to track the mark location that the pointer or cursor has marked. In this project, for cursor detection, the proposed colour tracking for cursor detection is RGB Colour Space, HSV, Colour Space and K-Means Clustering. …”
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Undergraduates Project Papers -
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An isolated speech endpoint detector using multiple speech features
Published 2004“…The proposed algorithm relies on multiple speech features: root mean square energy (rmse), zero crossing rate (zcr) and cepstral coefficient (cepstrum) where the Euclidean distance measure is adopted to accurately detect the endpoint of an isolated utterance. …”
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Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine
Published 2023“…The SVM algorithm has been used to detect high- and low-density vegetation regions from the extracted ROI. …”
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Attack graph construction for enhancing intrusion prediction based on vulnerabilities metrics
Published 2023“…This study employs use Random Forest algorithm to identify and forecast attacks to dynamically locate the attack location in the network for attack graph analysis. …”
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Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment
Published 2013“…In conclusion, hybrid classification as a combination of k-means and support vector machine algorithms and post-classification comparison change detection technique can be used to monitor land cover changes in Halabja city, Iraq. …”
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Detection and Measurement System for Button Mushrooms Using Convolutional Neural Network
Published 2024“…Hence, an automated detection and measurement system for button mushrooms has been developed using image processing techniques based on convolutional neural network (CNN) algorithm model known as YOLOv4. …”
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Location-Based Approach for Route Maintenance in Dynamic Source Routing Protocol
Published 2008“…The objectives of this research are to propose new algorithm to detect route failure as early warning message to the protocol to take further action, and to propose new algorithm for DSR route maintenance to response the early warning message from route failure detection algorithm. …”
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Detection And Segmentation Of Mass Region In Mammogram Image
Published 2014“…Initially, the Mean Median Intersection Point (MMIP) algorithm is proposed to obtain a point in the intensity histogram to be set as threshold value to segment the breast region and distinguish it from the background in the mammogram image. …”
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