Results 271 to 280 of about 3,338,408 (362)

Forecasting invasive mosquito abundance in the Basque Country, Spain using machine learning techniques. [PDF]

Parasit Vectors
Steindorf V, K B HM, Stollenwerk N, Cevidanes A, Barandika JF, Vazquez P, García-Pérez AL, Aguiar M.   +7 more
europepmc   +1 more source

High‐resolution flood probability mapping using generative machine learning with large‐scale synthetic precipitation and inundation data

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract High‐resolution flood probability maps are instrumental for assessing flood risk but are often limited by the availability of historical data. Additionally, producing simulated data needed for creating probabilistic flood maps using physics‐based models involves significant computation and time effort, which inhibit its feasibility. To address
Lipai Huang, Federico Antolini, Ali Mostafavi, Russell Blessing, Matthew Garcia, Samuel D. Brody   +5 more
wiley   +1 more source

Establishment of seven lung ultrasound phenotypes: a retrospective observational study of an LUS registry. [PDF]

BMC Pulm Med
Wang Q, Zou T, Zeng X, Bao T, Yin W.
europepmc   +1 more source

A methodology for incident detection in sectorized water distribution networks based on pressure and flow data

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract This study presents an intelligent system for predicting incident reports (IRs) in sectorized water distribution networks, such as drains in sidewalks, lack of pressure, lack of water, leaks, or others, based on pressure and flow data. Currently, incident detection in the industry is highly inefficient, as it is always performed reactively ...
Alicia Robles‐Velasco, Luis Onieva, José Guadix, Pablo Cortés   +3 more
wiley   +1 more source

Spatiotemporal Characterization of Dengue Incidence and Its Correlation to Climate Parameters in Indonesia. [PDF]

Insects
Mamenun, Koesmaryono Y, Sopaheluwakan A, Hidayati R, Dasanto BD, Aryati R.   +5 more
europepmc   +1 more source

Long short‐term memory‐based real‐time prediction models for freezing depth and thawing time in unbound pavement layers

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract The prediction of freezing depth and thawing time of unbound pavement layers in cold regions is a critical task in pavement design and management. This study developed long short‐term memory (LSTM)‐based encoder–decoder models to accurately predict freezing depth and thawing time, with air temperature as the sole input variable.
Y. Ma, S. Park, A. Bae, K. Kwon, H. Choi
wiley   +1 more source

A multi-task learning model for global soil moisture prediction based on adaptive weight allocation. [PDF]

Sci Rep
Li Y, Liu H, Lv T.
europepmc   +1 more source

A cross‐environmental algorithm for multi‐scale road crack detection under extreme weather conditions

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract This study addresses road crack detection challenges in extreme weather conditions by introducing the cascaded cross‐scale multibranch detection transformer (CCM‐DETR) framework. The research advances three key scientific contributions: (1) a specialized extreme weather road crack dataset; (2) a novel detection architecture CCM‐DETR with ...
Hao Yang, Liyan Liu, Junhui Zhang, Kaili Guo   +3 more
wiley   +1 more source

Pollen holographic images and light-induced fluorescence measurements at the species level. [PDF]

Sci Data
Erb S, Berne A, Clot B, Lbadaoui-Darvas M, Lieberherr GD, Meurville MP, Tummon F, Crouzy B.   +7 more
europepmc   +1 more source

Explaining the Industrial Revolution: From Agraria to Industria

Nations and Nationalism, EarlyView.
ABSTRACT Ernest Gellner suggested that a multi‐factor—indeed, a 15‐factor—model was necessary to explain the Industrial Revolution. Most economic historians prefer a much simpler economistic theory while adding ritual genuflections to the role of ‘culture’ and ‘institutions’.
Michael Mann
wiley   +1 more source