Search Results - (( motion estimation path algorithm ) OR ( _ evaluation model algorithm ))
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Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring
Published 2014“…Using motion estimation it is possible to track the path from the starting point of activation to the final point of activation. …”
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Citation Index Journal -
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Motion estimation on homogenous surface for around view monitoring system
Published 2020“…We propose to develop two ultra-wide-angle cameras located on the front and rear vehicle integrated with the motion estimation (ME) algorithm to produce a parking bird eye view and forward/backward trajectory lines. …”
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Proceeding Paper -
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Effect of waves and current on motion control of underwater gliders
Published 2020“…This paper investigates the effect of waves and ocean currents on the dynamics and motion control of underwater gliders. Waves and ocean currents affect a gliderâ��s performance by deviating from its desired path and reducing its operational range. …”
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Visual servo algorithm of robot arm simulation for dynamic tracking and grasping application
Published 2022“…Future works are required to improve the dynamic visual servo algorithm with motion planning when obstacles are present in the path of robot grasping.…”
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Effect of LiDAR mounting parameters and speed on HDL graph SLAM-Based 3D mapping for autonomous vehicles
Published 2025“…While 3D mapping is foundational for reliable AV navigation, its accuracy is often compromised by poor LiDAR sensor calibration and external factors such as motion distortion. This study investigates the physical calibration of a LiDAR sensor mounted on a moving vehicle and its effect on 3D map generation using the HDL Graph SLAM algorithm. …”
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Review on real-time control schemes for wheeled mobile robot
Published 2018“…The purpose of this paper is to review real-time control motion algorithms for wheeled mobile robot (WMR) when navigating in environment such as road. …”
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Design and development of an autonomous underwater vehicle for underwater target navigation mission module
Published 2019“…In this work, the Mission module were able to identify the task, detect the target, coordinate the state of AUV (attain desired height and yaw angle) and makes decision on path based on mission time elapsed. The Target Navigation Mission Module used the Kalman Filter algorithm to estimates the state of a system during the navigation. …”
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Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall
Published 2013“…The performance of four artificial neural network (ANN) training algorithms was evaluated to identify the training algorithm appropriate for modeling the dynamics of soil pore-water pressure responses to rainfall patterns using multilayer perceptron (MLP) ANN. …”
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Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting
Published 2013“…The outputs from the individual NN models were combined by four different aggregation algorithms in NNs ensemble. …”
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Thesis -
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Diagnosis and recommender system for diabetes patient using decision tree / Nurul Aida Mohd Zamary
Published 2024“…To evaluate the model, the model accuracy, precision, recall, F1- score, and confusion matrix were used. …”
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Analytical Study Of Machine Learning Models For Stock Trading In Malaysian Market
Published 2024“…Therefore, this study focused to contribute on evaluating different algorithm models such as traditional ML and deep learning models with big stock data of multiple parameters from selected companies in Bursa Malaysia. …”
thesis::master thesis -
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A Model for Evaluation of Cryptography Algorithm on UUM Portal
Published 2004“…The purpose of this project are to construct and provide guidelines to develop a simulation model to evaluate cryptography algorithm in terms of encryption speed and descryption speed on UUM portal. …”
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Unifying the evaluation criteria of many objectives optimization using fuzzy Delphi method
Published 2021“…Lastly, the most suitable criteria outcomes are formulated in the unifying model and evaluate by experts to verify the appropriateness and suitability of the model in assessing the MaOO algorithms fairly and effectively.…”
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Evaluation of the Transfer Learning Models in Wafer Defects Classification
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
Published 2013“…These algorithms include equal-weights combination of Best NN models, combination of trimmed forecasts, and Bayesian Model Averaging (BMA). …”
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
Published 2013“…These algorithms include equal-weights combination of Best NN models, combination of trimmed forecasts, and Bayesian Model Averaging (BMA). …”
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
Published 2013“…These algorithms include equal-weights combination of Best NN models, combination of trimmed forecasts, and Bayesian Model Averaging (BMA). …”
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