Results 141 to 150 of about 3,271,202 (325)

ANALYSIS OF METEOROLOGICAL CONDITIONS SIGNIFICANT FOR SMALL AVIATION AND TRAINING FLIGHTS AT THE AIRFIELD “BALKHASH” FOR PLANNING AND FLIGHT SAFETY PURPOSES

, 2021
Надежда Долженко, E. Mailyanova, Indira Assilbekova, Zarina KONAKBAY   +3 more
openalex   +1 more source

Valley-Forecast: Forecasting Coccidioidomycosis incidence via enhanced LSTM models trained on comprehensive meteorological data

Journal of Biomedical Informatics
Coccidioidomycosis (cocci), or more commonly known as Valley Fever, is a fungal infection caused by Coccidioides species that poses a significant public health challenge, particularly in the semi-arid regions of the Americas, with notable prevalence in California and Arizona. Previous epidemiological studies have established a correlation between cocci
Leif Huender, Mary Everett, John Shovic
openaire   +2 more sources

A vertical‐slice frontogenesis test case for compressible non‐hydrostatic dynamical cores of atmospheric models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Our article presents a new vertical‐slice test case for benchmarking atmospheric dynamical cores. The test case is based on the Eady frontogenesis problem, producing sharp fronts that provide a challenge for numerical models. This was not previously possible in a 2D vertical‐slice configuration unless the model is incompressible, so our test case ...
Hiroe Yamazaki, Colin J. Cotter
wiley   +1 more source

A Smart Camera With Integrated Deep Learning Processing for Disease Detection in Open Field Crops of Grape, Apple, and Carrot

Journal of Field Robotics, EarlyView.
ABSTRACT Downy mildew (Plasmopara), apple scab (Venturia inaequalis), and Alternaria leaf blight are endemic diseases that affect crops worldwide. The diseases can cause severe losses in grapes, apples and carrots when not detected and treated in an early stage.
Gerrit Polder, Pieter M. Blok, Tim van Daalen, Joseph Peller, Nikos Mylonas   +4 more
wiley   +1 more source

Research on the Training System Construction of Meteorological Higher Talents for Lifelong Education

, 2022
Chengkun Xie
openalex   +2 more sources

AI‐Based Autonomous Sailboat Navigation: A Review

Journal of Field Robotics, EarlyView.
ABSTRACT This review explores the recent advancements in AI‐driven autonomous sailboat navigation, underscoring its pivotal role in ocean monitoring and real‐time maritime data collection. Drawing on an extensive range of primary and secondary sources, the study critically evaluates current challenges, innovative control algorithms, and path planning ...
Vishali Mankina, André P. D. Araújo, Raphael Guerra, Esteban W. G. Clua, Carlo Cernicchiaro, Luiz M. G. Gonçalves, Cosimo Distante   +6 more
wiley   +1 more source

Quantifying nocturnal bird migration using acoustics: opportunities and challenges

Remote Sensing in Ecology and Conservation, EarlyView.
In this study, we explore three migration intensity measures derived from acoustic recordings, that is, bird call and passage rates, and species diversity, for their usefulness in quantifying nocturnal bird migration rates at three taxonomic levels: birds, passerines and thrushes, as estimated by a dedicated bird radar. Bird passage rates, that is, the
Siméon Béasse, Louis Sallé, Paul Coiffard, Birgen Haest   +3 more
wiley   +1 more source

Industrial Development, Poverty Reduction, and Inequality: A Robustness Test Using Nighttime Lights in Vietnam

Sustainable Development, EarlyView.
ABSTRACT This paper examines the interplay between sectoral growth compositions, initial inequality, and poverty reduction in Vietnam during the 2000s, utilizing disaggregated provincial‐level data. The analysis focuses on the differential impacts of industrial and agricultural sector growth on poverty alleviation while also assessing the moderating ...
Takahiro Yamada, Christian S. Otchia
wiley   +1 more source

Solar Energy Meteorological Research and Training Site: Region 5. Annual report, 1 October 1978-30 September 1979

, 1980
C. R. Nagaraja Rao, E. Wendell Hewson
openalex   +2 more sources

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source