Search Results - (( evolution optimization svm algorithm ) OR ( motion estimation path algorithm ))

A novel approach to human motion estimation with applications in human-robot safety by Motlagh, O., Tang, Sai Hong, Ismail, Napsiah, Ramli, Abdul Rahman, Samin, Razali

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Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring by Nisar, Humaira, Malik, Aamir Saeed, Ullah, Rafi, Shim, Seongo, Bawakid, Abdullah, Khan, Muhammad Burhan, Subhani, Rauf

“…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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Motion estimation on homogenous surface for around view monitoring system by Hanizam, Syahirah, Nik Hashim, Nik Nur Wahidah, Zainal Abidin, Zulkifli, Mohd Zaki, Hasan Firdaus, Abdul Rahman, Hasbullah, Mahamud, Nurul Hidayah

“…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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Improved whale optimization algorithm for feature selection in Arabic sentiment analysis by Tubishat, Mohammad, Abushariah, Mohammad A.M., Idris, Norisma, Aljarah, Ibrahim

“…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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Time series predictive analysis based on hybridization of meta-heuristic algorithms by Mustaffa, Zuriani, Sulaiman, Mohd Herwan, Rohidin, Dede, Ernawan, Ferda, Kasim, Shahreen

“…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 by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

“…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 by Zuriani, Mustaffa, M. H., Sulaiman, Rohidin, Dede, Ernawan, Ferda, Shahreen, Kasim

“…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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Effect of waves and current on motion control of underwater gliders by Ullah, B., Ovinis, M., Baharom, M.B., Ali, S.S.A., Khan, B., Javaid, M.Y.

“…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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Development Of Algorithms For Vehicle Classification And Speed Estimation From Dynamic Scenes By On-Board Camera Using Image Processing Techniques by Aminuddin, Nur Shazwani

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Visual servo algorithm of robot arm simulation for dynamic tracking and grasping application by Rishi Arran Suppramaniam, Mohd Hairi Mohd Zaman, Mohd Faisal Ibrahim, Seri Mastura Mustaza, Asraf Mohamed Moubark

“…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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Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

“…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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Effect of LiDAR mounting parameters and speed on HDL graph SLAM-Based 3D mapping for autonomous vehicles by Law, Jia Seng, Muhammad Aizzat, Zakaria, Younus, Maryam, Yong, Ericsson, Ismayuzri, Ishak, Mohamad Heerwan, Peeie, Muhammad Izhar, Ishak

“…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 by M. Sawal, A. R., Ali, Mohammed A. H., Sha'akmal, S., Azwan, A. R. A

“…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 by Muhammad Muzakkir, Ahmad Rosian, Herda\vatie, Abdul Kadir, Khalid, Isa, Radzi, Ambar, Mohd Rizal, Arshad, Maziyah, Mat Noh, Mohd Helmy, Abdul Wahab

“…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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