Zobrazeno 1 - 10
of 349
pro vyhledávání: '"Frans Coenen"'
Autor:
Mohd Suhairi Md Suhaimin, Mohd Hanafi Ahmad Hijazi, Ervin Gubin Moung, Puteri Nor Ellyza Nohuddin, Stephanie Chua, Frans Coenen
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 6, Pp 102121- (2024)
Externí odkaz:
https://doaj.org/article/752662d8c36e48769091774c7cf3e53f
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-23 (2023)
Abstract Sleep posture and movements offer insights into neurophysiological health and correlate with overall well-being and quality of life. Clinical practices utilise polysomnography for sleep assessment, which is intrusive, performed in unfamiliar
Externí odkaz:
https://doaj.org/article/fdd1d782464e402c9374898ceb89914a
Autor:
Mohd Suhairi Md Suhaimin, Mohd Hanafi Ahmad Hijazi, Ervin Gubin Moung, Puteri Nor Ellyza Nohuddin, Stephanie Chua, Frans Coenen
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 9, Pp 101776- (2023)
The interest in social media sentiment analysis and opinion mining for public security events has increased over the years. The availability of social media platforms for communication provides a valuable source of information for sentiment analysis
Externí odkaz:
https://doaj.org/article/fd97a2285bfc4004bd973e3a39be9857
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 4110-4117 (2023)
Colocalization analysis of genomic region sets has been widely adopted to unveil potential functional interactions between corresponding biological attributes, which often serves as the basis for further investigation. A number of methods have been d
Externí odkaz:
https://doaj.org/article/70ef2a4c14904128a94f7ba044873840
Publikováno v:
IEEE Access, Vol 11, Pp 31657-31675 (2023)
With the advances in machine learning techniques and the potency of cloud computing there is an increasing adoption of third party cloud services for outsourcing training and prediction of machine learning models. Although cloud-hosted machine learni
Externí odkaz:
https://doaj.org/article/100c6731832b4b0089113606ac0aa01c
Publikováno v:
Algorithms, Vol 16, Iss 1, p 24 (2023)
Machine Learning (ML) and/or Deep Learning (DL) methods can be used to predict fluid flow in porous media, as a suitable replacement for classical numerical approaches. Such data-driven approaches attempt to learn mappings between finite-dimensional
Externí odkaz:
https://doaj.org/article/558f4c83f0274ef487672a26dca44e26
Publikováno v:
Energies, Vol 15, Iss 19, p 7390 (2022)
The need for improved energy security in Nigeria cannot be over-emphasized. Currently, energy security is rather poor, while access to energy is fundamental to socio-economic development and poverty alleviation. Renewable energy could potentially con
Externí odkaz:
https://doaj.org/article/ea439f9d61b74052a298f3ecd1de414a
Autor:
Simon Leigh, Alison Grant, Nicola Murray, Brian Faragher, Henal Desai, Samantha Dolan, Naeema Cabdi, James B. Murray, Yasmin Rejaei, Stephanie Stewart, Karl Edwardson, Jason Dean, Bimal Mehta, Shunmay Yeung, Frans Coenen, Louis W. Niessen, Enitan D. Carrol
Publikováno v:
BMC Medicine, Vol 17, Iss 1, Pp 1-15 (2019)
Abstract Background Paediatric fever is a common cause of emergency department (ED) attendance. A lack of prompt and definitive diagnostics makes it difficult to distinguish viral from potentially life-threatening bacterial causes, necessitating a ca
Externí odkaz:
https://doaj.org/article/b191a4ca550f48889c4c73908363e616
Publikováno v:
IET Computer Vision, Vol 10, Iss 2, Pp 103-114 (2016)
Driver fatigue and inattention have long been recognised as the main contributing factors in traffic accidents. This study presents a novel system which applies convolutional neural network (CNN) to automatically learn and predict pre‐defined drivi
Externí odkaz:
https://doaj.org/article/c2724b6e6b674ad6a7b47474e7193938
Autor:
Harry Pratt, Bryan M. Williams, Jae Yee Ku, Charles Vas, Emma McCann, Baidaa Al-Bander, Yitian Zhao, Frans Coenen, Yalin Zheng
Publikováno v:
Journal of Imaging, Vol 4, Iss 1, p 4 (2017)
The analysis of retinal blood vessels present in fundus images, and the addressing of problems such as blood clot location, is important to undertake accurate and appropriate treatment of the vessels. Such tasks are hampered by the challenge of accur
Externí odkaz:
https://doaj.org/article/ea907491340c4796a4af519bc818c5f8