LST determination of different urban growth patterns: A modeling procedure to identify the dominant spatial metrics

Y Chen, B Shu, R Zhang, M Amani-Beni - Sustainable Cities and Society, 2023 - Elsevier
The growing threat of urban heating has attracted considerable scholarly attention to their
modeling and prediction. To improve the urban land surface temperature (LST) …

A bidirectional long short-term memory model algorithm for predicting COVID-19 in gulf countries

THH Aldhyani, H Alkahtani - Life, 2021 - mdpi.com
Accurate prediction models have become the first goal for aiding pandemic-related
decisions. Modeling and predicting the number of new active cases and deaths are …

[HTML][HTML] One-year lesson: machine learning prediction of COVID-19 positive cases with meteorological data and mobility estimate in Japan

EA Rashed, A Hirata - … Journal of Environmental Research and Public …, 2021 - mdpi.com
With the wide spread of COVID-19 and the corresponding negative impact on different life
aspects, it becomes important to understand ways to deal with the pandemic as a part of …

Did the Tokyo Olympic Games enhance the transmission of COVID-19? An interpretation with machine learning

A Hirata, S Kodera, Y Diao, EA Rashed - Computers in biology and …, 2022 - Elsevier
Background In the summer of 2021, the Olympic Games were held in Tokyo during the state
of emergency due to the spread of COVID-19 pandemic. New daily positive cases (DPC) …

Chaos Structure and Contagion Behavior between COVID-19, and the Returns of Prices of Precious Metals and Oil: MS-GARCH-MLP Copula.

ME Bildirici - Nonlinear Dynamics, Psychology & Life …, 2022 - search.ebscohost.com
This study was developed for two purposes. The first one is detection of the existence of
chaotic structure and uncertainty behaviour of the total number of people infected with the …

Analyzing morphological alternations of vessels in multiple Sclerosis using SLO images of the eyes

A Soltanipour, R Arian, A Aghababaei, R Kafieh… - medRxiv, 2023 - medrxiv.org
Background Our purpose was to investigate the most relevant and discriminating clinical
feature set of Scanning laser ophthalmoscopy (SLO) images, which could differentiate …

A Spatio-Temporal Approach For Determining Individual's Covid-19 Risks

HV Agun - Bilişim Teknolojileri Dergisi, 2023 - dergipark.org.tr
Current state of art approaches such as the susceptible-infected-removed model and
machine learning models are not optimized for modeling the risks of individuals and …

Los imaginarios del agua y del territorio en comunidades rurales

HAS Quiñonez, YAV Pinilla - Kolpa Editores, 2023 - revistas.kolpaeditores.edu.pe
A sustentabilidade é enquadrada nas dimensões ambiental, social, econômica e cultural,
que permitem a transformação do território a ser dirigido. No entanto, a falta de evidências …

[PDF][PDF] Bireylerin Kovid-19 Riskinin Uzay-zamansal Olarak Belirlenmesi

HV AGUN - International Journal of InformaticsTechnologies, 2023 - researchgate.net
Mevcut çalışmalar örneğin şüpheli-bulaş-eksiltme modeli ve makine öğrenmesi modelleri
her bir kişi ve alan için bulaş riskinin hesaplanmasına uygun değildir. Bu çalışmada mevcut …