Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Mohd Hanif Md Saad"'
Autor:
M. M. Hoque, M. A. Hannan, Pin Jern Ker, M. S. Hossain Lipu, Mohd Hanif Md Saad, Aini Hussain, Afida Ayob
Publikováno v:
Journal of Cleaner Production. 205:115-133
Electric vehicles (EVs) have become increasingly popular due to zero carbon emission, reduction of fossil fuel reserve, comfortable and light transport. However, EVs employing lithium-ion battery are facing difficulties in terms of predicting accurat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87b68bd810b004aba873f6a9d498b372
https://doi.org/10.1016/j.jclepro.2018.09.065
https://doi.org/10.1016/j.jclepro.2018.09.065
Smart Grid (SG) enlarges the traditional power grid into a new dimension where millions of electronic devices relate to each other through Advanced Metering Infrastructures (AMI) network using information and communication technology (ICT). The integ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4c4fa9a95cd7b25793e71692b4984fc
https://zenodo.org/record/4470251
https://zenodo.org/record/4470251
Autor:
M. S. Hossain Lipu, Afida Ayob, Aini Hussain, Mahammad A. Hannan, Kashem M. Muttaqi, Mohd Hanif Md Saad
Publikováno v:
IAS
This paper presents an enhanced machine learning based state of charge (SOC) estimation method for a lithium-ion battery using a deep recurrent neural network (DRNN) algorithm. DRNN is suitable for SOC evaluation due to strong computation intelligenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::346bc13358cd29f00d5fa9cb37dd9fb2
https://doi.org/10.1109/ias.2019.8912322
https://doi.org/10.1109/ias.2019.8912322
Publikováno v:
2018 8th IEEE International Conference on Control System, Computing and Engineering (ICCSCE).
Recent developments in the field of magnetic gear and magnetic gearing machines have opened up innumerable opportunities for engineers and researchers. Conventional mechanical gears require direct mechanical contact between the drive and driven tooth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfd4048b8ea8d5d997d845779774a21c
https://doi.org/10.1109/iccsce.2018.8684958
https://doi.org/10.1109/iccsce.2018.8684958
Publikováno v:
2017 6th International Conference on Electrical Engineering and Informatics (ICEEI).
This paper presents an optimal state of energy (SOE) estimation strategy of a lithium-ion battery using the back-propagation neural network (BPNN). Two heuristic optmization techniques named backtracketing search algorithm (BSA) and particle swarm op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8be52c0ab2d29713aaf8e4c605153e1c
https://doi.org/10.1109/iceei.2017.8312418
https://doi.org/10.1109/iceei.2017.8312418
Publikováno v:
Jurnal Kejuruteraan. 20:183-190
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11dccc5e9bf7422902792d2d525ce409
https://doi.org/10.17576/jkukm-2008-20-17
https://doi.org/10.17576/jkukm-2008-20-17
Publikováno v:
Jurnal Kejuruteraan. 20:215-224
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c894200e948cd9745f7603523120a6c
https://doi.org/10.17576/jkukm-2008-20-20
https://doi.org/10.17576/jkukm-2008-20-20
Publikováno v:
2012 IEEE 8th International Colloquium on Signal Processing and its Applications.
The new breakthrough in technology has opened new chances for researchers to develop more advance video surveillance system to provide human a more liveable city. Hand detection from silhouette for video surveillance application is important as it en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::177b5638201fc45d0e31e17c7342403f
https://doi.org/10.1109/cspa.2012.6194783
https://doi.org/10.1109/cspa.2012.6194783
Autor:
Mohd Hafizi Bin Zohari, Che Ku Eddy Nizwan Che Ku Husin, Mohd Hanif Md Saad, M. A. Wahid, S. Samion, N. A. C. Sidik, J. M. Sheriff
Publikováno v:
AIP Conference Proceedings.
This paper describes the acoustic emission approach for internal surface roughness classification. Rough internal surface can be related to corrosion that usually occurred inside pipe. Two flow rates with different Reynolds number value are introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5583d0bc665e16db8dd743b8e9326fdb
https://doi.org/10.1063/1.3464862
https://doi.org/10.1063/1.3464862
Publikováno v:
AI 2005: Advances in Artificial Intelligence ISBN: 9783540304623
Australian Conference on Artificial Intelligence
Australian Conference on Artificial Intelligence
This paper presents the Intelligent Power Quality Disturbance Analysis (IPQDA) software tool that is designed for an automatic analysis of power quality (PQ) disturbance. The main capabilities of the software include analysis of disturbance waveforms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35ae7980a922d1a31093673dcb30637b
https://doi.org/10.1007/11589990_194
https://doi.org/10.1007/11589990_194