Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Muhammad Nur Aiman Shapiee"'
Autor:
Muhammad Amirul Abdullah, Muhammad Ar Rahim Ibrahim, Muhammad Nur Aiman Shapiee, Muhammad Aizzat Zakaria, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Noor Azuan Abu Osman, Anwar P.P. Abdul Majeed
Publikováno v:
PeerJ Computer Science, Vol 7, p e680 (2021)
This study aims at classifying flat ground tricks, namely Ollie, Kickflip, Shove-it, Nollie and Frontside 180, through the identification of significant input image transformation on different transfer learning models with optimized Support Vector Ma
Externí odkaz:
https://doaj.org/article/18dc1f89926d4fe5a711a40fafcedfa2
Autor:
Muhamad Amirul Abdullah, Muhammad Ar Rahim Ibrahim, Muhammad Nur Aiman Shapiee, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Noor Azuan Abu Osman, Muhammad Aizzat Zakaria, Anwar P. P. Abdul Majeed
Publikováno v:
Lecture Notes in Bioengineering ISBN: 9789819902965
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::283a652a3702a9dc677af67b67281801
https://doi.org/10.1007/978-981-99-0297-2_22
https://doi.org/10.1007/978-981-99-0297-2_22
Autor:
Muhammad Syafi’i Mass Duki, Muhammad Nur Aiman Shapiee, Muhammad Amirul Abdullah, Ismail Mohd Khairuddin, Mohd Azraai Mohd Razman, Anwar P. P. Abdul Majeed
Publikováno v:
MEKATRONIKA. 3:61-67
Martial art strike classification by machine learning has drawn more attention over the past decade. The unique signal from each technique makes it harder to be recognized. Thus, this paper proposed an SVM, Random Forest, k-NN, and Naïve Bayes class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95ea35914f8132d7598fdc79ca4565b1
https://doi.org/10.15282/mekatronika.v3i1.7153
https://doi.org/10.15282/mekatronika.v3i1.7153
Autor:
Mohamad Ilyas Rizan, Mohd Azraai Mohd Razman, Muhammad Amirul Abdullah, Muhammad Nur Aiman Shapiee, Anwar P. P. Abdul Majeed
Publikováno v:
MEKATRONIKA. 2:68-73
Nowadays, the worldwide primary reasons of long-term disability is stroke. When the blood supply to your brain is interupted and reduced, stroke occurs as it depriving brain tissue of nutrients and oxygen. In the modern world, advanced technology are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c009c073e043c5b3966d95139efd65ef
https://doi.org/10.15282/mekatronika.v2i2.7017
https://doi.org/10.15282/mekatronika.v2i2.7017
Autor:
Ahmad Fakhri Ab. Nasir, Mohd Azraai Mohd Razman, Muhammad Nur Aiman Shapiee, Venketaramana Balachandran, Anwar P. P. Abdul Majeed
Publikováno v:
MEKATRONIKA. 2:55-61
Human detection and tracking have been progressively demanded in various industries. The concern over human safety has inhibited the deployment of advanced and collaborative robotics, mainly attributed to the dimensionality limitation of present safe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d018abf5ce04594226d46aaf5c70549
https://doi.org/10.15282/mekatronika.v2i2.6768
https://doi.org/10.15282/mekatronika.v2i2.6768
Autor:
Ismail Mohd Khairuddin, Arzielah Ashiqin Alwi, Mohd Azraai Mohd Razman, Muhammad Ar Rahim Ibrahim, Ahmad Najmuddin Ibrahim, Muhammad Nur Aiman Shapiee
Publikováno v:
MEKATRONIKA. 2:49-54
Dynamic gameplay, fast-paced and fast-changing gameplay, where angle shooting (top and bottom corner) has the best chance of a good goal, are the main aspects of handball. When it comes to the narrow-angle area, the goalkeeper has trouble blocked the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af8616a96bf242d4521f35f45e3e07b7
https://doi.org/10.15282/mekatronika.v2i2.6751
https://doi.org/10.15282/mekatronika.v2i2.6751
Autor:
Mohd Azraai Mohd Razman, Ismail Mohd Khairuddin, Amirul Asyraf Abdul Manan, Muhammad Nur Aiman Shapiee
Publikováno v:
MEKATRONIKA. 2:23-27
This study presents an application of using a Convolutional Neural Network (CNN) based detector to detect chili and its leaves in the chili plant image. Detecting chili on its plant is essential for the development of robotic vision and monitoring. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c23e67f505a1f5be96a1c1dc1a24a9b
https://doi.org/10.15282/mekatronika.v2i2.6743
https://doi.org/10.15282/mekatronika.v2i2.6743
Autor:
Anwar P. P. Abdul Majeed, Noor Azuan Abu Osman, Rabiu Muazu Musa, Muhammad Nur Aiman Shapiee, Mohd Azraai Mohd Razman, Muhammad Ar Rahim Ibrahim, Muhammad Amirul Abdullah
Publikováno v:
MEKATRONIKA. 2:1-12
The skateboarding scene has arrived at new statures, particularly with its first appearance at the now delayed Tokyo Summer Olympic Games. Hence, attributable to the size of the game in such competitive games, progressed creative appraisal approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb6630bd76fe1bbf574d9cad9ddeab74
https://doi.org/10.15282/mekatronika.v2i2.6683
https://doi.org/10.15282/mekatronika.v2i2.6683
Autor:
Mohd Azraai Mohd Razman, Suhaimi Puteh, Mohd Azhar Mohd Razman, Muhammad Nur Aiman Shapiee, Zelina Zaiton Ibrahim, Nurul Fadhilah Mohamed Rodzali
Publikováno v:
MEKATRONIKA. 2:38-46
There is yet an application for monitoring plant condition using the Normalized Difference Vegetation Index (NDVI) method for Capsicum Frutescens (C.F) or chili. This study was carried out in three phases, where the first and second phases are to cre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90c68218ce9bb6b36a9281bd930b4251
https://doi.org/10.15282/mekatronika.v2i1.6727
https://doi.org/10.15282/mekatronika.v2i1.6727
Autor:
Mohd Azraai Mohd Razman, Muhammad Ar Rahim Ibrahim, Muhammad Nur Aiman Shapiee, Muhammad Aizzat Zakaria, Rabiu Muazu Musa, Noor Azuan Abu Osman, Muhammad Amirul Abdullah, Anwar P. P. Abdul Majeed
Publikováno v:
PeerJ Computer Science
PeerJ Computer Science, Vol 7, p e680 (2021)
PeerJ Computer Science, Vol 7, p e680 (2021)
This study aims at classifying flat ground tricks, namely Ollie, Kickflip, Shove-it, Nollie and Frontside 180, through the identification of significant input image transformation on different transfer learning models with optimized Support Vector Ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72e9e628e1cad4d31c57f8cc839fd91a
http://europepmc.org/articles/PMC8384043
http://europepmc.org/articles/PMC8384043