Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ee Soong Low"'
Publikováno v:
Ain Shams Engineering Journal, Vol 12, Iss 2, Pp 2263-2274 (2021)
The automated guided vehicle (AGV) with sensor recognition method is having shortcomings such as high cost and noise. In this regard, the flower pollination algorithm (FPA) is applied in the path detection system of an AGV, in combination with comput
Externí odkaz:
https://doaj.org/article/4a76f920c70b4f33a28f513d6a4ea370
Publikováno v:
Ain Shams Engineering Journal, Vol 12, Iss 2, Pp 2263-2274 (2021)
The automated guided vehicle (AGV) with sensor recognition method is having shortcomings such as high cost and noise. In this regard, the flower pollination algorithm (FPA) is applied in the path detection system of an AGV, in combination with comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd41adcec0cac8f5750a2e243cebdc63
https://doi.org/10.1016/j.asej.2020.09.018
https://doi.org/10.1016/j.asej.2020.09.018
Publikováno v:
Computers & Industrial Engineering. :109338
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a26b4c6eddd6821ad4eb4d8560c2012a
https://doi.org/10.1016/j.cie.2023.109338
https://doi.org/10.1016/j.cie.2023.109338
Publikováno v:
The Visual Computer. 38:939-962
Performance analysis, as related to sport, is a process underpinned by a systematic analysis of information, to accelerate the performance of athletes through crafted focused practice session based on the obtained analysis. Quantification of athlete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa768cbd24c77b3264459949f5ec8b48
https://doi.org/10.1007/s00371-021-02060-2
https://doi.org/10.1007/s00371-021-02060-2
Publikováno v:
Robotics and Autonomous Systems. 115:143-161
Q-learning, a type of reinforcement learning, has gained increasing popularity in autonomous mobile robot path planning recently, due to its self-learning ability without requiring a priori model of the environment. Yet, despite such advantage, Q-lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e35fa51df442bef37505ff337a592996
https://doi.org/10.1016/j.robot.2019.02.013
https://doi.org/10.1016/j.robot.2019.02.013
Autor:
Pauline Ong, Ee Soong Low
Publikováno v:
Pertanika Journal of Science and Technology. 28
The problems that arise in multitudinous fields often involve solving complex nonlinear ordinary differential equations (ODE), and it remains challenging since the actual solutions to these problems are hard to obtain. In this regard, the solution st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32a57006b43c4cd27b2f6b82a8e1c8ba
https://doi.org/10.47836/pjst.28.4.06
https://doi.org/10.47836/pjst.28.4.06
Publikováno v:
Applied Soft Computing. 83:105625
In real time moving object tracking, various unconstraint factors such as severe occlusion and background clutter remain a challenge for developing an effective yet robust tracking method. In this study, a novel moving object tracking algorithm based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4154584e8a0f5acca50036809bdd111
https://doi.org/10.1016/j.asoc.2019.105625
https://doi.org/10.1016/j.asoc.2019.105625
Publikováno v:
International Journal of Engineering & Technology. 7:57
In path planning for mobile robot, classical Q-learning algorithm requires high iteration counts and longer time taken to achieve convergence. This is due to the beginning stage of classical Q-learning for path planning consists of mostly exploration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::989c470eee0301e9d3586af4f025ef13
https://doi.org/10.14419/ijet.v7i4.27.22480
https://doi.org/10.14419/ijet.v7i4.27.22480