Search Results - (( evolution optimization svm algorithm ) OR ( basic estimation based algorithm ))
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Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
Published 2019“…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Basically, the proposed of FUHS16, UHDS16 and UHDS8 algorithm produces the best motion vector estimation finding based on the block-based matching criteria. …”
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Book Chapter -
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Time series predictive analysis based on hybridization of meta-heuristic algorithms
Published 2018“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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Time series predictive analysis based on hybridization of meta-heuristic algorithms
Published 2018“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…The proposed HPSO algorithm aims to obtain the least number of computations with low degradation value in estimation accuracy. …”
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Thesis -
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Stock market turning points rule-based prediction / Lersak Photong … [et al.]
Published 2021“…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
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Book Section -
8
Performance optimization method in OFDM based on majorization and minimization technique
Published 2019“…Basically, TQM principles are based on time-domain OFDM symbols Majorization and Minimization (MM) technique. …”
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Simultaneous Computation of Model Order and Parameter Estimation of a Heating System Based on Gravitational Search Algorithm for Autoregressive with Exogenous Inputs
Published 2015“…In this paper, an approach termed as Simultaneous Model Order and Parameter Estimation (SMOPE), which is basically based on Gravitational Search Algorithm (GSA), is proposed to combine these two parts into a simultaneous solution. …”
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A modified reweighted fast consistent and high-breakdown estimator for high-dimensional datasets
Published 2024“…The basic idea of our proposed method is to modify the Mahalanobis distance so that it uses only the diagonal elements of the scatter matrix in the computation of the RFCH algorithm. …”
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Block matching algorithms for motion estimation using modified Cross-Diamond-Hexagonal search / Abd Razak Mahmud
Published 2008“…Step search (4SS), Diamond search (DS), Adaptive Rood Pattern Search (ARPS) and Cross-Diamond-Hexagonal search (CDHS). This algorithm basically employs two crossshaped search patterns consecutively in the very beginning steps and switch using diamond-shaped patterns. …”
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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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Effort Estimation Model for Function Point Measurement
Published 2007“…This research work has generated an algorithmic effort estimation model for function points measurement. …”
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Power System State Estimation In Large-Scale Networks
Published 2010“…The gain and the Jacobian matrices associated with the basic algorithm require large storage and have to be evaluated at every iteration, resulting in more computation time. …”
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Wifi positioning system / Amalina Abdul Halim
Published 2006“…This paper present the experimental results that demonstrate the ability of Wifi Positioning system to estimate location of the devices using K-NN algorithm and result in application part is shown based on highest percentage accuracy of time taken to intend bus stop.…”
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Student Project -
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Trajectory planning and simulation for 3d printing process
Published 2022“…The slicing method used is basic slicing. The slicing algorithm consists of two sections: intersection point tracking algorithm and contour creation algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Estimation of electric vehicle turning radius through machine learning for roundabout cornering
Published 2021“…While on-board sensors are unable to offer adequate information on vehicle states to the algorithm, vehicle states other than those directly detected by on-board sensors can be inferred using machine learning (ML) approaches based on the collected data. …”
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Conference or Workshop Item -
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IoT based IMU sensor network for human arm pose estimation / Jahangir Hassan Khan
Published 2019“…The objective of this project is to design and build an IoT based sensor system that can send its data wirelessly to a computer, which can then analyse the data and estimate the position of the human arm at remote location. …”
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Thesis
