Results 71 to 80 of about 34,807 (256)

Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries

InfoScience, EarlyView.
Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang, Yuhang Meng, Tianhao Chen, Xiangfen Jiang, Yoshio Bando, Jinjue Zeng, Xuebin Wang   +6 more
wiley   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Second observation of Common Crane Grus grus in Senegal

Bulletin of the African Bird Club, 2013
(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
Volker Salewski, Troels Eske Ortvad, Kasper Thorup   +2 more
openaire   +2 more sources

Recent Advances (2023–2025) of Capillary Electrophoresis‐Mass Spectrometry (CE‐MS) for Top‐Down Proteomics

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Top‐down proteomics (TDP) characterizes proteoforms in cells, tissues, and biofluids, in discovery mode and on a global scale, requiring analytical tools with high peak capacity for proteoform separation and high sensitivity for proteoform detection, given the extremely high proteoform complexity and wide proteoform concentration dynamic range.
Guijie Zhu, David A. Alvarez Rodriguez, Noah Gould, Alexander R. Ivanov, Kevin Jooß, Liangliang Sun   +5 more
wiley   +1 more source

Using synthetic models to understand the detecting ability of ground‐penetrating radar for water‐conducting structures in the bedrock of formerly glaciated site

Near Surface Geophysics, EarlyView.
Abstract Utilizing synthetic models for the interpretation of ground‐penetrating radar (GPR) profiles can aid in the detection of hydrogeological structures by identifying their signatures. In this study, finite difference (FD) forward modelling was used to understand the detection ability of 50 MHz GPR for (1) the quaternary deposit–bedrock contact ...
Annika Katarina Åberg, Salla Eeva, Emilia Koivisto, Susanne Charlotta Åberg, Seija Kultti, Kirsti Korkka‐Niemi   +5 more
wiley   +1 more source

Study on habitat suitability and ecological network of rare cranes in Poyang Lake National Nature Reserve

Ecological Indicators
The Poyang Lake National Nature Reserve (PLNNR) is the most important reserve for wintering migratory birds in the Poyang Lake basin. The analysis of the spatial distribution of rare crane habitats and their response mechanisms to environmental variables
Haifeng Xu, Bin Dong, Zhili Xu, Jinji Ma, Fei Shen   +4 more
doaj   +1 more source

Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance

Journal of Field Robotics, EarlyView.
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini, Lorenzo Guerrini, Marco Fontanelli, Lucia Bortolini   +3 more
wiley   +1 more source

Application of a Presumptive Standards Approach to Evaluate Environmental Flows in a Highly Regulated River Basin

River Research and Applications, EarlyView.
ABSTRACT The presumptive standards approach to environmental flows offers a method to develop interim guidelines for ecological and social‐cultural flow needs. The approach is based on deriving acceptable percent‐of‐flow limits based on naturalised flows (the absence of depletion or alteration of flow), and it can be an effective precursor to a full ...
Jennifer Lento, Wendy A. Monk, Fuad Yassin, Mustakim Ali, Hayley Carlson, Saman Razavi, Timothy D. Jardine   +6 more
wiley   +1 more source

Artificial Intelligence for Blue Transformation: A Review of Predictive Modeling and Decision Support Systems in Sustainable Aquaculture

Sustainable Development, EarlyView.
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source