Zobrazeno 1 - 10
of 731
pro vyhledávání: '"Musau, P"'
In the era of climate change, the distribution of climate variables evolves with changes not limited to the mean value. Consequently, clustering algorithms based on central tendency could produce misleading results when used to summarize spatial and/
Externí odkaz:
http://arxiv.org/abs/2402.10545
Autor:
Bogomolov, Sergiy, Johnson, Taylor T., Lopez, Diego Manzanas, Musau, Patrick, Stankaitis, Paulius
Publikováno v:
EPTCS 395, 2023, pp. 95-112
This paper presents an optimisation-based approach for an obstacle avoidance problem within an autonomous vehicle racing context. Our control regime leverages online reachability analysis and sensor data to compute the maximal safe traversable region
Externí odkaz:
http://arxiv.org/abs/2311.09781
Autor:
Daniel Olinga, Felix Oyania, Kenneth Bagonza, Justine Athieno Odakha, Mabiala Constant Balu, William Mwanje, Andrew Flanery, Ambrose Okello, Evelyn Mwende Musau, Prisca Mary Kizito
Publikováno v:
African Journal of Emergency Medicine, Vol 14, Iss 3, Pp 224-230 (2024)
Background: Paediatric injuries are among the leading causes of morbidity and mortality globally, especially in low- and middle-income countries. We aimed to characterize paediatric injuries as predictors of disposition from Mbarara Regional Referral
Externí odkaz:
https://doaj.org/article/40b3b08ba53e47ef926ec15cbc49d042
Autor:
Frank Ngeni, Boniphace Kutela, Tumlumbe Juliana Chengula, Cuthbert Ruseruka, Hannah Musau, Norris Novat, Debbie Aisiana Indah, Sarah Kasomi
Publikováno v:
Machine Learning with Applications, Vol 17, Iss , Pp 100582- (2024)
Bike-sharing systems have grown in popularity in metropolitan areas, providing a handy and environmentally friendly transportation choice for commuters and visitors alike. As demand for bike-sharing programs grows, efficient capacity planning becomes
Externí odkaz:
https://doaj.org/article/14ff9834c3c741c4a76b6aa0e0272b86
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100682- (2024)
Microgrid(s) integration into distribution networks and the growing use of Distributed Generation Systems necessitate the switch from traditional fossil fuel-based power generation methods to renewable resource-based ones. To achieve optimal power de
Externí odkaz:
https://doaj.org/article/415a50b333eb41efaed73d137c4a1c89
Clustering has received much attention in Statistics and Machine learning with the aim of developing statistical models and autonomous algorithms which are capable of acquiring information from raw data in order to perform exploratory analysis.Severa
Externí odkaz:
http://arxiv.org/abs/2207.11682
Continuous deep learning models, referred to as Neural Ordinary Differential Equations (Neural ODEs), have received considerable attention over the last several years. Despite their burgeoning impact, there is a lack of formal analysis techniques for
Externí odkaz:
http://arxiv.org/abs/2207.06531
Sustainable Agriculture Leveraging Artificial Intelligence Systems in Kenya's Agri-food Supply Chain
Autor:
Enock musau
Publikováno v:
Agricultural Science, Vol 7, Iss 2, Pp 153-171 (2024)
The Agro-food supply chain is crucial for achieving Sustainable Development Goal No. 2 of zero hunger and sustainable agriculture. However, Kenya faces significant post-harvest losses, mainly attributed to challenges in first and last-mile logistics.
Externí odkaz:
https://doaj.org/article/ff81e87e01ed40208d054ca9f8f7248d
Autor:
Fatia Kiyange, Mackuline Atieno, Emmanuel B. K. Luyirika, Zipporah Ali, Helena Musau, Lameck Thambo, John Y. Rhee, Eve Namisango, William E. Rosa
Publikováno v:
BMC Palliative Care, Vol 23, Iss 1, Pp 1-11 (2024)
Abstract Background Fewer than 1 in 20 people on the African continent in need of palliative care receive it. Malawi is a low-income country in sub-Saharan Africa that has yet to achieve advanced palliative care integration accompanied by unrestricte
Externí odkaz:
https://doaj.org/article/cddebb0cc0214daa8c7337d3af1d1644
Autor:
Musau, Patrick, Hamilton, Nathaniel, Lopez, Diego Manzanas, Robinette, Preston, Johnson, Taylor T.
Recent advances in machine learning technologies and sensing have paved the way for the belief that safe, accessible, and convenient autonomous vehicles may be realized in the near future. Despite tremendous advances within this context, fundamental
Externí odkaz:
http://arxiv.org/abs/2205.01419