Zobrazeno 1 - 10
of 365
pro vyhledávání: '"artificial intelligence machine learning"'
Publikováno v:
Protek: Jurnal Ilmiah Teknik Elektro, Vol 11, Iss 3, Pp 200-207 (2024)
Local people in Ternate, North Maluku, often use local languages to communicate on social media. This poses a challenge for newcomers to understand the implied meaning and emotions of the messages conveyed through social media. This research aims to
Externí odkaz:
https://doaj.org/article/eaf29e1e90a34fd2a991b856839eb8ed
Vaccinations against viruses have always been the need of the hour since long past. However, it is hard to efficiently distribute the vaccines (on time) to all the corners of a country, especially during a pandemic. Considering the vastness of the po
Externí odkaz:
http://arxiv.org/abs/2208.01112
Autor:
Bongs Lainjo
Publikováno v:
Journal of Information Systems and Informatics, Vol 5, Iss 4, Pp 1550-1568 (2023)
Artificial Intelligence (AI) and Machine Learning (ML) technologies have revolutionized numerous industries and sectors, offering transformative potential for Results-Based Management (RBM). RBM is a management paradigm wherein organizations and gove
Externí odkaz:
https://doaj.org/article/5c7a4968789f4064a6c7d6ad149d7ea2
Publikováno v:
Water, Vol 16, Iss 14, p 2069 (2024)
There has been growing interest in the application of smart technologies for hazard management. However, very limited studies have reviewed the trends of such technologies in the context of flash floods. This study reviews innovative technologies suc
Externí odkaz:
https://doaj.org/article/1b062c4dc2984ee6b58f2f89a6f9fd68
Autor:
Abdullah Abdullah Alzayed
Publikováno v:
SVU - International Journal of Medical Sciences, Vol 6, Iss 2, Pp 501-510 (2023)
Background: Artificial intelligence is well poised to be a multi-dimensional resource for children and their health in the future. Recent advancement in machine learning and algorithms have helped tackle diseases like asthma, pneumonia, and lung nodu
Externí odkaz:
https://doaj.org/article/2d3005d9f3ef4d96a457b7cccba33eae
Autor:
Rishabh Rajesh Shanbhag, Siddhant Benadikar, Ugandhar Dasi, Nikhil Singla, Rajkumar Balasubramanian
Publikováno v:
Letters in High Energy Physics, Vol 2024, Iss 1 (2024)
This current research paper examines the adaptive technology solution approaches of transfer learning in a cloud environment for AI systems’ enhanced results and faster training periods. Concerning transfer learning methods, their application with
Externí odkaz:
https://doaj.org/article/fdd5bba52e3642d18bdc9f64600315c1
Autor:
Nayal, Kirti, Raut, Rakesh D., Queiroz, Maciel M., Yadav, Vinay Surendra, Narkhede, Balkrishna E.
Publikováno v:
The International Journal of Logistics Management, 2021, Vol. 34, Issue 2, pp. 304-335.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJLM-01-2021-0002
Autor:
I. L. Kirilyuk
Publikováno v:
Russian Journal of Economics and Law, Vol 16, Iss 1, Pp 40-50 (2022)
Objective: within the framework of RegTech and SupTech technologies, to assess the transformation of model risks and ways to minimize them under the increasing use of artificial intelligence methods.Methods: a systematic approach to the analysis of t
Externí odkaz:
https://doaj.org/article/34c81d8155fc498f8485dff3ad34128f
Publikováno v:
Journal of Airline and Airport Management, Vol 11, Iss 2, Pp 53-72 (2021)
Purpose: Airline strategy relies on the competitive environment analysis and the management of resources. Artificial Intelligence (AI) algorithms are being increasingly deployed throughout several industries. COVID-19 has further stressed a sector wh
Externí odkaz:
https://doaj.org/article/caac821ba1bb4e20942f3f3ff3eca9c3
Autor:
Rosatti, Pietro
This thesis concerns the study, development and analysis of innovative artificial intelligence (AI)-driven optimization techniques within the System-by-Design (SbD) framework aimed at efficiently addressing the computational complexity inherent in ad
Externí odkaz:
https://hdl.handle.net/11572/415690