Results 141 to 150 of about 936,469 (301)

Rainfall and crops [PDF]

Science, 1885
openaire   +2 more sources

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Soil moisture characteristics of four artificial plant communities in aerial seeding afforestation area and their response to different levels of rainfall

Frontiers in Forests and Global Change
Studying the characteristics of soil moisture in afforestation area and its response to different grades of rainfall is helpful to quantitatively analyze the change law of soil moisture in afforestation area and provide theoretical basis for rational and
Tiejun Zhang, Tiejun Zhang, Yanping Liu, Yanping Liu, Jianying Guo, Jianying Guo, Guodong Tang, Guodong Tang, Zhenqi Yang, Zhenqi Yang   +9 more
doaj   +1 more source

A joint probability approach to flood frequency estimation using Monte Carlo simulation [PDF]

, 2010
In the UK, flood estimation using event based rainfall–runoff modelling currently assigns pre-defined design values to the input variables which control the size of the flow events, apart from the rainfall magnitude which is treated as a random variable.
Jones, David, Kjeldsen, Thomas, Svensson, Cecilia   +2 more
core  

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

SimKat: a virtual laboratory to explore the impact of rainfall variability associated with the A2 climate change scenario on the Western Australian wheat-belt [Abstract] [PDF]

, 2009
The wheat-belt of Western Australia is one of the most vulnerable regions to climate change in Australia (DAFWA, 2007). Over the last century, the landscape is Western Australian has changed drastically with almost 20 million hectares of native ...
Asseng, S., Bates, B., Charles, S., Dray, Anne, Perez, Pascal   +4 more
core  

Gate‐Align‐SED: Semi‐Supervised Sound Event Detection via Adaptive Feature Gating and Cross‐Task Alignment in Situation Awareness

Advanced Intelligent Systems, EarlyView.
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen, Li‐Minn Ang, Chee Shen Lim, Kah Phooi Seng, Jeremy Smith   +4 more
wiley   +1 more source

Are convection‐permitting climate projections reliable for urban planning over Africa? A case study of Johannesburg

Atmospheric Science Letters
Cities are particularly vulnerable to surface water flooding. It is also well‐known that they influence local rainfall themselves, which has important implications for climate change adaptation planning for cities.
William J. Keat, Chris J. Short, Elizabeth J. Kendon   +2 more
doaj   +1 more source

Shapley Additive Explanation for Local Class Differentiation: Local Explainability for Class Differentiation in Classification Models

Advanced Intelligent Systems, EarlyView.
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna, Hugo A. Ordoñez Erazo, Carlos A. Cobos Lozada   +2 more
wiley   +1 more source

Lost ground, lost value: Investigating the relationship between soil erosion and agricultural land value

American Journal of Agricultural Economics, EarlyView.
Abstract This study examines the impact of soil erosion on agricultural land values in the United States (US) Midwest. Based on a novel county‐level panel data set with information on soil erosion levels and agricultural land values covering five census years (1997, 2002, 2007, 2012, and 2017), we separately investigate the direct effect of two types ...
Le Chen, Roderick M. Rejesus, Hongqiang Yan, Serkan Aglasan   +3 more
wiley   +1 more source