Results 111 to 120 of about 3,271,202 (325)

A correction model for quenching effects on chlorophyll a fluorescence measurements in lakes

Limnology and Oceanography: Methods, EarlyView.
Abstract Characterizing the vertical structure of phytoplankton biomass is key to understanding the light, nutrient, and mixing dynamics driving lake ecosystems. In situ fluorometry is widely used in limnology to obtain chlorophyll a (Chl a) measurements as proxies for phytoplankton biomass.
Samantha L. Sharp, Alexander L. Forrest, Derek C. Roberts, Alicia Cortés, S. Geoffrey Schladow   +4 more
wiley   +1 more source

Prediction of chlorophyll‐a data based on triple‐stage attention recurrent neural network

IET Communications, EarlyView., 2022
This paper proposes the triple‐stage attention‐based recurrent neural network model for chlorophyll‐a prediction. The model builds not only on the chlorophyll‐a data itself but build on several related oceanographic observations related to the outbreak of the red tide, including depth, temperature, salinity, oxygen concentration, dissolved oxygen ...
Wenqing Chang, Xiang Li, Vikas Chaudhary, Huomin Dong, Zhigang Zhao, Tri Gia Nguyen   +5 more
wiley   +1 more source

Improved Regression Tree Models Using Generalization Error‐Based Splitting Criteria

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Despite the widespread application of machine learning (ML) approaches such as the regression tree (RT) in the field of data‐driven optimization, overfitting may impair the effectiveness of ML models and thus hinder the deployment of ML for decision‐making.
Ying Yang, Shuaian Wang, Gilbert Laporte
wiley   +1 more source

Multi‐view short‐term photovoltaic power prediction combining satellite images feature learning and graph mutual information feature representation

IET Computer Vision, EarlyView., 2023
This paper explores the cloud information elements of the satellite images from a multi‐view perspective, and performs feature extraction and processing of the meteorological information it contains to learn the impact of cloud cover on photovoltaic (PV) prediction.
Yuxing Dai, Jing Lai, Xuexin Xu, Jianbing Xiahou, Jie Lian, Zhihong Zhang   +5 more
wiley   +1 more source

Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China

Advances in Meteorology, 2019
Accurate estimation of reference evapotranspiration (ETo) is key to agricultural irrigation scheduling and water resources management in arid and semiarid areas. This study evaluates the capability of coupling a Bat algorithm with the XGBoost method (i.e.
Yixiu Han, Jianping Wu, B. Zhai, Yanxin Pan, Guomin Huang, Lifeng Wu, W. Zeng   +6 more
semanticscholar   +1 more source

The effect of N‐oxide phenazine producer Lysobacter antibioticus on bacterial leaf streak in rice and the rhizosphere microbial community

New Plant Protection, EarlyView.
Lysobacter antibioticus OH13 and its antibiotic myxin effectively control rice bacterial leaf streak (BLS) under greenhouse conditions and in field trials. OH13 alters the rhizosphere microbiome, enriching beneficial bacteria. Myxin production was boosted 3.19‐fold via mutagenesis and optimization, highlighting the potential of OH13 as a sustainable ...
Junjing Chen, Xinyi Cheng, Gaoge Xu, Yancun Zhao, Fengquan Liu, Yangyang Zhao   +5 more
wiley   +1 more source

Neural Phase Picker Trained on the Japan Meteorological Agency Unified Earthquake Catalog

Earth, Planets and Space
Abstract In Japan, one of the most seismically active nations, seismic data from various institutions are shared in real-time and made accessible via the web, which facilitates research by numerous scholars. The Japan Meteorological Agency (JMA), in collaboration with the Ministry of Education, Culture, Sports, Science, and Technology (MEXT ...
Makoto Naoi, Koji Tamaribuchi, Kengo Shimojo, Shinya Katoh, Shukei Ohyanagi   +4 more
openaire   +2 more sources

SCEN‐SCADA Security: An Enhanced Osprey Optimization‐Based Cyber Attack Detection Model in Supervisory Control and Data Acquisition System Using Serial Cascaded Ensemble Network

Optimal Control Applications and Methods, EarlyView.
An efficient and accurate cyber attack detection approach with less computational overhead is still a crucial research problem in SCADA. So, a novel and secure model for cyber attack detection in the SCADA system using advanced deep learning techniques together with the heuristic algorithm is executed in this research work. The weighted optimal feature
Fatimah Yaseen Hashim Alzubaidi, Sefer Kurnaz, Raghda Awad Shaban Naseri, Hameed Mutlag Farhan   +3 more
wiley   +1 more source

Modeling of Nitrogen Dynamics in an Austrian Alpine Forest Ecosystem on Calcareous Soils: A Scenario-Based Risk Assessment under Changing Environmental Conditions

The Scientific World Journal, 2007
We modeled the behavior of an Austrian alpine forest ecosystem on calcareous soils under changing climate and atmospheric nitrogen deposition scenarios.
Friedl Herman, Stefan Smidt, Klaus Butterbach-Bahl, Michael Englisch, Ernst Gebetsroither, Robert Jandl, Klaus Katzensteiner, Manfred Lexer, Friederike Strebl, Sophie Zechmeister-Boltenstern   +9 more
doaj   +1 more source

Interspecies synchrony in departure decisions from stopover sites: evidence using a multi‐species capture–recapture model

Oikos, EarlyView.
During migration, migratory bird species often aggregate at the same stopover sites due to geographical features that channel migratory routes (coasts, valleys) or locally abundant food resources (e.g. reedbeds, fruiting bushes). In migration ecology, however, stopover behavior is often studied on a single species, limiting the generality of inferences
Sébastien Roques, Pierre‐Yves Henry, Hubert Dugué, Sébastien Gautier, Jean‐Luc Chil, Pascal Provost, Daniel Turek, Emmanuelle Cam, Roger Pradel   +8 more
wiley   +1 more source