[HTML][HTML] Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a …
Aviation is a major contributor to transportation carbon emissions but aims to reduce its
carbon footprint. Sustainable and environmentally friendly green hydrogen fuel is essential …
carbon footprint. Sustainable and environmentally friendly green hydrogen fuel is essential …
A century and a half precipitation oxygen isoscape for China generated using data fusion and bias correction
The precipitation oxygen isotopic composition is a useful environmental tracer for climatic
and hydrological studies. However, accurate and high-resolution precipitation oxygen …
and hydrological studies. However, accurate and high-resolution precipitation oxygen …
Fine-grained image classification of microscopic insect pest species: Western flower thrips and plague thrips
Accurate identification of insect pests is essential in crop management as they are one of the
primary causes of yield losses. However, differences between insect species demand …
primary causes of yield losses. However, differences between insect species demand …
Deep learning models reveal the link between dynamic brain connectivity patterns and states of consciousness
Decoding states of consciousness from brain activity is a central challenge in neuroscience.
Dynamic functional connectivity (dFC) allows the study of short-term temporal changes in …
Dynamic functional connectivity (dFC) allows the study of short-term temporal changes in …
Stable hydrogen isoscape in precipitation generated using data fusion for East China
The stable hydrogen isotope in precipitation is an effective environmental tracer for climatic
and hydrologic studies. However, accurate and high-precision precipitation hydrogen …
and hydrologic studies. However, accurate and high-precision precipitation hydrogen …
[HTML][HTML] Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies
We present a comprehensive global sensitivity analysis of two single-objective and two multi-
objective state-of-the-art global optimization evolutionary algorithms as an algorithm …
objective state-of-the-art global optimization evolutionary algorithms as an algorithm …
Hyperparameter optimization and importance ranking in deep learning–based crack segmentation
Although deep convolutional neural networks (DCNNs) have been widely adopted for crack
segmentation, they often demonstrate performance degradation on data with real-world …
segmentation, they often demonstrate performance degradation on data with real-world …
Improving the hindcast of the northward shift of South Asian high in June with machine learning
F Zeng, S Gui, R Yang, H Yang, Y Han, J Ma… - Atmospheric …, 2024 - Elsevier
Accurate prediction of the northward shift of the South Asian High (SAH) in June is crucial for
improving the flood and drought management of Asian countries during the summer. This …
improving the flood and drought management of Asian countries during the summer. This …
Spoofing attack augmentation: can differently-trained attack models improve generalisation?
A reliable deepfake detector or spoofing countermeasure (CM) should be robust in the face
of unpredictable spoofing attacks. To encourage the learning of more generaliseable …
of unpredictable spoofing attacks. To encourage the learning of more generaliseable …
Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS
Exploring the structural, chemical, and physical properties of matter on the nano-and atomic
scales has become possible with the recent advances in aberration-corrected electron …
scales has become possible with the recent advances in aberration-corrected electron …