Results 221 to 230 of about 1,216,018 (276)

Forecasting Influenza Epidemics and Pandemics in the Age of AI and Machine Learning

Reviews in Medical Virology, Volume 36, Issue 1, January 2026.
ABSTRACT Influenza's rapid evolution, driven by its segmented RNA genome, high mutation rate, and extensive animal reservoirs, underpins its capacity to cause recurring epidemics and unpredictable pandemics. Recent advances in artificial intelligence (AI) and machine learning (ML) are transforming influenza forecasting by enabling the prediction of ...
Oleksandr Kamyshnyi, Iryna Halabitska, Valentyn Oksenych, Iryna Kamyshna, Pavlo Petakh, Denis E. Kainov   +5 more
wiley   +1 more source

A mechanism for reconciling the synchronisation of Heinrich events and Dansgaard-Oeschger cycles. [PDF]

Nat Commun
Schannwell C, Mikolajewicz U, Kapsch ML, Ziemen F.   +3 more
europepmc   +1 more source

Effects of soil particle size on rainfall-induced erosion of near-horizontal layered slopes. [PDF]

PLoS One
Liu C, Zhang Z, Cheng L, Wang Y, Liu X, Lai R, Lyv Q.   +6 more
europepmc   +1 more source

Effects of Larch Woolly Adelgid Infestation on Morphological, Histological and Allelochemical Traits of European Larch Needles. [PDF]

Insects
Dancewicz K, Kordan B, Damszel M, Sergiel I, Biesaga M, Mroczek J, Gabryś B.   +6 more
europepmc   +1 more source

Temporal and spatial variation in the composition of the lichen Hypogymnia physodes from the Niepołomice Forest (Poland). [PDF]

Sci Rep
Kościelniak R, Wiśniowska I, Kadłub D, Albrycht M, Betleja L, Gawrońska K, Kucharska K, Binkowski ŁJ.   +7 more
europepmc   +1 more source

On the Observation of the Crustal Deformation and Meteorological Effect on it at Ide Observatory

On the Observation of the Crustal Deformation and Meteorological Effect on it at Ide Observatory
openaire  

Meteorological correction model of IBIS-L System in the Slope Deformation Monitoring

Intelligent Automation and Soft Computing, 2017
AbstractMicro deformation monitoring system (IBIS-L) using high frequency microwave as signal for transmission, is easily affected by meteorology. How to eliminate the meteorological influence effectively, and extract useful information from the big data becomes a key to monitor the slope deformation with high precision by the IBIS-L system. Evaluation
Xiaoqing Zuo, Hongchu Yu, Chenbo Zi, Xiaokun Xu, Wang Liqi, Haibo Liu   +5 more
semanticscholar   +3 more sources

A numerical model for large deformation on meteorological images

, 1996
The purpose of non-rigid motion in computer vision is the study of the geometrical deformation that may affect an object during its temporal evolution. One often assumes that this process is local and continuous; it is therefore the case for local geometrical features, which are considered as relevant for studying deformation.
Jean‐Paul Berroir, Isabelle Herlin, Isaac Cohen   +2 more
openalex   +2 more sources

A Novel Deformation Prediction Model for Mine Slope Surface Using Meteorological Factors Based on Kernel Extreme Learning Machine

International Journal of Engineering Research in Africa, 2014
Extreme learning machine (ELM), as an emergent technique for training feed-forward neural networks, has shown good performance on various learning domains. This work evaluates the effectiveness of a new Gaussian kernel function-based extreme learning machine (KELM) algorithm for the deformation prediction of mine slope surface utilizing various kinds ...
Sun Wen Du, Jin Zhang, Zeng Bing Deng, Jing Tao Li   +3 more
openalex   +2 more sources