Results 141 to 150 of about 17,724 (252)
This study assesses the effectiveness of environmental DNA (eDNA) for monitoring the critically endangered Anguilla anguilla and the near‐threatened Salmo salar using quantitative PCR. Active in situ water filtration and passive metaprobe deployment were compared, showing that metaprobes provided greater sensitivity for low‐abundance species, while ...
Irene de Carlos Fernández +2 more
wiley +1 more source
Monitoring and Early Warning of the Cage-Rearing Broiler Farming Environment Based on an Inspection Robot. [PDF]
Luo S +8 more
europepmc +1 more source
This graphical abstract presents a lightweight and automated BiLSTM‐based Multi‐Cycle GAN framework for retinal blood vessel and optic disc segmentation in fundus images. Initially, fundus images undergo preprocessing, including green channel extraction, denoising, resizing, and dataset splitting.
Rasmita Kumari Mohanty +7 more
wiley +1 more source
LSTM-GRU hybrid model for multi-layer microclimate prediction in solar greenhouse. [PDF]
Li B +5 more
europepmc +1 more source
Our research establishes a hybrid feature selection and ensemble machine learning pipeline for the classification of euthyroid, hyperthyroid, hypothyroid, and subclinical hypo‐ and hyperthyroid disorders. Variance Threshold with Backward Feature Elimination attained nearly 100% accuracy, while SHAP and LIME clarified the significance of features and ...
Md. Minhajul Abedin +5 more
wiley +1 more source
This paper proposes a patch‐based data synthesis method to solve the problem of insufficient computing resources due to excessive data and the inability of conventional methods to preserve the spatial autocorrelation in the data. At the same time, this method is used to complete the 1 km monthly rainfall forecast for mainland China. ABSTRACT This study
Kebin Dai, Chong Xu
wiley +1 more source
A Hybrid CNN-GRU-SE Forecasting Method for Short-Term Photovoltaic Power Considers AFD and Data Aggregation. [PDF]
Liu K +5 more
europepmc +1 more source
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley +1 more source
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom +2 more
wiley +1 more source
DGrA: Lightweight Modulation Recognition Based on Hybrid Neural Networks. [PDF]
Chen X, Gao R, Xu D, Zhu H.
europepmc +1 more source

