Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Panagiotis Liatsis"'
Autor:
Rahul Sahai, Ali Al-Ataby, Sulaf Assi, Manoj Jayabalan, Panagiotis Liatsis, Chong Kim Loy, Abdullah Al-Hamid, Sahar Al-Sudani, Maitham Alamran, Hoshang Kolivand
Publikováno v:
Data Science and Emerging Technologies ISBN: 9789819907403
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::195cceaa43c07893081d3e477296541a
https://doi.org/10.1007/978-981-99-0741-0_30
https://doi.org/10.1007/978-981-99-0741-0_30
Autor:
Aditi Jain, Matthew Harper, Manoj Jayabalan, Jamila Mustafina, Wasiq Khan, Panagiotis Liatsis, Noor Lees Ismail, Dhiya Al-Jumeily OBE
Publikováno v:
Data Science and Emerging Technologies ISBN: 9789819907403
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7de868ce5466a5c4ea4f2e9c6b7ffe32
https://doi.org/10.1007/978-981-99-0741-0_9
https://doi.org/10.1007/978-981-99-0741-0_9
Autor:
Shatheesh Kumar Govindarajulu, Megan Watson, Sulaf Assi, Manoj Jayabalan, Panagiotis Liatsis, Jamila Mustafina, Normaiza Mohamad, Kdasy Al-Muni, Dhiya Al-Jumeily OBE
Publikováno v:
Data Science and Emerging Technologies ISBN: 9789819907403
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8941131b4ed8b2ae86706a3c803bc125
https://doi.org/10.1007/978-981-99-0741-0_3
https://doi.org/10.1007/978-981-99-0741-0_3
Autor:
Saravanan Murugan, Sulaf Assi, Abbas Alatrany, Manoj Jayabalan, Panagiotis Liatsis, Jamila Mustafina, Abdullah Al-Hamid, Maitham G. Yousif, Ahmed Kaky, Danny Ngo Lung Yao, Dhiya Al-Jumeily OBE
Publikováno v:
Data Science and Emerging Technologies ISBN: 9789819907403
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89f059be9d70e2107276d53beba267c3
https://doi.org/10.1007/978-981-99-0741-0_15
https://doi.org/10.1007/978-981-99-0741-0_15
Autor:
Saket Satpute, Manoj Jayabalan, Hoshang Kolivand, Jolnar Assi, Omar A. Aldhaibani, Panagiotis Liatsis, Paridah Daud, Ali Al-Ataby, Wasiq Khan, Ahmed Kaky, Sahar Al-Sudani, Mohamed Mahyoub
Publikováno v:
Data Science and Emerging Technologies ISBN: 9789819907403
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c600e7ec3c7f772bc770dc103d620f7
https://doi.org/10.1007/978-981-99-0741-0_31
https://doi.org/10.1007/978-981-99-0741-0_31
Autor:
Ranjita Kumari Biswal Lenka, Thomas Coombs, Sulaf Assi, Manoj Jayabalan, Jamila Mustafina, Panagiotis Liatsis, Abdullah Al-Hamid, Sahar Al-Sudani, Noor Lees Ismail, Dhiya Al-Jumeily OBE
Publikováno v:
Data Science and Emerging Technologies ISBN: 9789819907403
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c60424915192d35896df207c2d399e62
https://doi.org/10.1007/978-981-99-0741-0_38
https://doi.org/10.1007/978-981-99-0741-0_38
Autor:
Rhul Talreja, Thomas Coombs, Sulaf Assi, Noor Azma Ismail, Manoj Jayabalan, Panagiotis Liatsis, Mohamed Mahyoub, Abdullah Al-Hamid, Hoshang Kolivand
Publikováno v:
Data Science and Emerging Technologies ISBN: 9789819907403
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::764de8faf324ae595eba7238097948b8
https://doi.org/10.1007/978-981-99-0741-0_28
https://doi.org/10.1007/978-981-99-0741-0_28
Publikováno v:
Nature-Inspired Computation in Data Mining and Machine Learning ISBN: 9783030285524
Nature-Inspired Computation in Data Mining and Machine Learning
Nature-Inspired Computation in Data Mining and Machine Learning
People at high-risk of cardiovascular disease are most likely vulnerable to chronic kidney diseases, and historical medical records can help avert complicated kidney problems. In this paper, 12 supervised machine learning algorithms were used to anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edbdf14a10b9ae6ca43d16403a47fa97
https://doi.org/10.1007/978-3-030-28553-1_9
https://doi.org/10.1007/978-3-030-28553-1_9
Publikováno v:
Advanced Robotics. 22:1181-1205
In this paper an approach to the field of outdoor robotic navigation with a focus on underwater simultaneous localization and mapping (SLAM) is proposed that utilizes ultrasonic scanning images. Experimental results from the implementation of a SLAM
Conference
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