Zobrazeno 1 - 10
of 6 051
pro vyhledávání: '"A. Moiz"'
Autor:
A. Moiz, A. Kawasaki
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 386, Pp 217-222 (2024)
Inadequate planning of spring snowmelt discharge can lead to wastage of water resources for various purposes such as hydropower and lead to reduced capacity of the dams to control floods during rainy season. In this research we analyze how much can t
Externí odkaz:
https://doaj.org/article/94d03f1000024ea0822f9426c146db51
Autor:
Periáñez, África, del Río, Ana Fernández, Nazarov, Ivan, Jané, Enric, Hassan, Moiz, Rastogi, Aditya, Tang, Dexian
Publikováno v:
Health Systems & Reform, 10(2), 2024
Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health applications-focused on supply chain, patient management, and capacity
Externí odkaz:
http://arxiv.org/abs/2409.16098
Recent breakthroughs in Large Language Models (LLMs) have led to their adoption across a wide range of tasks, ranging from code generation to machine translation and sentiment analysis, etc. Red teaming/Safety alignment efforts show that fine-tuning
Externí odkaz:
http://arxiv.org/abs/2409.15361
This study investigates the trophic cascades and habitat suitability in Udanti Sitnadi Tiger Reserve (USTR), highlighting the roles of apex predators, subordinate predators, and prey species in maintaining ecosystem balance. Using the Trophic Species
Externí odkaz:
http://arxiv.org/abs/2409.00193
This study uses Joint Species Distribution Models (JSDMs) and Deep Neural Networks (DNNs) to explore how wild carnivores and free-ranging dogs interact in the Udanti-Sitanadi Tiger Reserve (USTR) in Central India. The research focuses on key species
Externí odkaz:
http://arxiv.org/abs/2409.00185
Autor:
del Río, Ana Fernández, Leong, Michael Brennan, Saraiva, Paulo, Nazarov, Ivan, Rastogi, Aditya, Hassan, Moiz, Tang, Dexian, Periáñez, África
This paper introduces a reinforcement learning (RL) platform that enhances end-to-end user journeys in healthcare digital tools through personalization. We explore a case study with SwipeRx, the most popular all-in-one app for pharmacists in Southeas
Externí odkaz:
http://arxiv.org/abs/2408.08024
Autor:
del Río, Ana Fernández, Leong, Michael Brennan, Saraiva, Paulo, Nazarov, Ivan, Rastogi, Aditya, Hassan, Moiz, Tang, Dexian, Periáñez, África
Pharmacies are critical in healthcare systems, particularly in low- and middle-income countries. Procuring pharmacists with the right behavioral interventions or nudges can enhance their skills, public health awareness, and pharmacy inventory managem
Externí odkaz:
http://arxiv.org/abs/2408.07647
Autor:
Periáñez, África, Schmitz, Kathrin, Makhupula, Lazola, Hassan, Moiz, Moleko, Moeti, del Río, Ana Fernández, Nazarov, Ivan, Rastogi, Aditya, Tang, Dexian
By providing evidence-based clinical decision support, digital tools and electronic health records can revolutionize patient management, especially in resource-poor settings where fewer health workers are available and often need more training. When
Externí odkaz:
http://arxiv.org/abs/2408.07629
In today's contemporary digital landscape, chatbots have become indispensable tools across various sectors, streamlining customer service, providing personal assistance, automating routine tasks, and offering health advice. However, their potential r
Externí odkaz:
http://arxiv.org/abs/2408.04281
Publikováno v:
Arab Gulf Journal of Scientific Research, 2023, Vol. 42, Issue 4, pp. 1257-1270.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AGJSR-12-2022-0317