Zobrazeno 1 - 10
of 376
pro vyhledávání: '"Philip, Moore"'
Autor:
Hai Van Pham, Philip Moore
Publikováno v:
Information, Vol 15, Iss 7, p 381 (2024)
Generative AI applications have played an increasingly significant role in real-time tracking applications in many domains including, for example, healthcare, consultancy, dialog boxes (common types of window in a graphical user interface of operatin
Externí odkaz:
https://doaj.org/article/54f96d9c22f24631938e676f49cb1b87
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 3036 (2024)
ChatGPT plays significant roles in the third decade of the 21st Century. Smart cities applications can be integrated with ChatGPT in various fields. This research proposes an approach for developing large language models using generative artificial i
Externí odkaz:
https://doaj.org/article/2226bd7c965f439f831161f2a44ddd0a
Autor:
Christopher Monkhouse, BSc, James Elliott, BSc, Jason Collinson, BSc, Ross Hunter, MD, PhD, Pier Lambiase, MD, PhD, Syed Ahsan, MD, PhD, Philip Moore, MD, PhD
Publikováno v:
HeartRhythm Case Reports, Vol 9, Iss 8, Pp 587-589 (2023)
Externí odkaz:
https://doaj.org/article/2ae83f9c70874fbdbdfc420e9914fb7d
Publikováno v:
European Journal of Psychology Open, Vol 81, Iss 2, Pp 47-56 (2022)
Abstract. Introduction: The COVID-19 pandemic increased the demand for mental-health services worldwide. Consequently, it also increased the length of the waitlists for mental-health services, putting a strain on adult mental-health services (AMHS) a
Externí odkaz:
https://doaj.org/article/91478953f3e3473292c8a23e3e804929
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 7, Iss 2, Pp 243-257 (2022)
Evaluation of E-Learning resources plays a significant role in the context of pedagogic systems. Resource evaluation is important in both conventional ‘talk-and-chalk’ teaching and in blended learning. In on-line (e-learning) teaching [an enforce
Externí odkaz:
https://doaj.org/article/2ab255bd220b4f48a4c8293218be9324
Publikováno v:
Neuroscience Informatics, Vol 2, Iss 4, Pp 100109- (2022)
Motivation: Healthcare systems globally face significant resource and financial challenges. Moreover, these challenges have resulted in an existential paradigm shift driven by: (i) the growth in the demand for healthcare services is exacerbated by a
Externí odkaz:
https://doaj.org/article/ec97dbab5d6b4caba517ed55ee5936b3
Autor:
Zachary I. Whinnett, Matthew J. Shun‐Shin, Mark Tanner, Paul Foley, Badri Chandrasekaran, Philip Moore, Shaumik Adhya, Norman Qureshi, Amal Muthumala, Rebecca Lane, Aldo Rinaldi, Sharad Agarwal, Francisco Leyva, Jonathan Behar, Sukh Bassi, Andre Ng, Paul Scott, Rachana Prasad, Jon Swinburn, Joseph Tomson, Amarjit Sethi, Jaymin Shah, Phang Boon Lim, Andreas Kyriacou, Dewi Thomas, Jenny Chuen, Ravi Kamdar, Prapa Kanagaratnam, Myril Mariveles, Leah Burden, Katherine March, James P. Howard, Ahran Arnold, Pugazhendhi Vijayaraman, Berthold Stegemann, Nicholas Johnson, Emanuela Falaschetti, Darrel P. Francis, John G.F. Cleland, Daniel Keene
Publikováno v:
European Journal of Heart Failure. 25:274-283
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccd9d23c32f57860f06844c21b0f6ac4
https://doi.org/10.1002/ejhf.2736
https://doi.org/10.1002/ejhf.2736
Publikováno v:
Cogent Social Sciences, Vol 6, Iss 1 (2020)
Wearable technology has become increasingly popular and available since the mid-2000s, raising hopes for new and innovative ways to address long-standing issues of physical inactivity that have plagued modern societies. Despite growing interest in th
Externí odkaz:
https://doaj.org/article/365457ead9004be1bf68fd4c66668c34
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss S3, Pp 45-57 (2017)
Abstract Background Collaboration between humans and computers has become pervasive and ubiquitous, however current computer systems are limited in that they fail to address the emotional component. An accurate understanding of human emotions is nece
Externí odkaz:
https://doaj.org/article/cf25dd6f925e455aa02995954c19a39a
Publikováno v:
Sensors, Vol 21, Iss 18, p 6070 (2021)
Deep learning methods predicated on convolutional neural networks and graph neural networks have enabled significant improvement in node classification and prediction when applied to graph representation with learning node embedding to effectively re
Externí odkaz:
https://doaj.org/article/ebb37aa8fe0c495881192aff215d6dd7