Results 91 to 100 of about 16,203 (295)

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Multi-Step Prediction of Wind Power Based on Hybrid Model with Improved Variational Mode Decomposition and Sequence-to-Sequence Network [PDF]

Due to the complexity of wind power, traditional prediction models are incapable of fully extracting the hidden features of multidimensional strong fluctuation data, which results in poor multi-step prediction performance.
Mengxue Jin, Juan Zhao, Bin Feng, Wangwang Bai, Wanwei Li, Siyao Li, Tuo Xie, Hui Li   +7 more
core   +1 more source

Food insecurity and unemployment among immigrants in the United States

American Journal of Agricultural Economics, EarlyView.
Abstract Immigrants can be more vulnerable to economic downturns and, during periods of economic hardship, more likely to experience food insecurity compared to natives. This study examines the differential effect of the unemployment rate on the probability of being food insecure among diverse groups of immigrant households relative to natives in the ...
Siwen Zhou, Joshua Berning, Alessandro Bonanno, Jude Bayham   +3 more
wiley   +1 more source

Copula models in machine learning [PDF]

, 2015
The introduction of copulas, which allow separating the dependence structure of a multivariate distribution from its marginal behaviour, was a major advance in dependence modelling.
Rey, Mélanie
core   +1 more source

Stabilization of PUFA‐Rich Mayonnaise Against Lipid Oxidation: A Review of the Last Three Decades of Research

Journal of the American Oil Chemists' Society, EarlyView.
ABSTRACT Mayonnaise, a widely consumed oil‐in‐water emulsion, is highly susceptible to lipid oxidation due to its high content of polyunsaturated fatty acids (PUFAs) and the presence of pro‐oxidant factors such as low pH and iron from egg yolk. Over the past three decades, extensive research has focused on understanding oxidation mechanisms, analytical
Sakhi Ghelichi, Betül Yesiltas, Charlotte Jacobsen   +2 more
wiley   +1 more source

Advancing Remote Sensing for Health Monitoring: A Novel Framework for Precise Vital Sign Detection via IR-UWB Radar

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The impulse-radio ultra-wideband (IR-UWB) radar is ideally suitable for noncontact monitoring of respiratory rate and heart rate due to its noninvasive nature and high penetration capabilities.
Yizhu Wang, Jing Liang
doaj   +1 more source

The costs of extra‐pair behaviours in birds

Biological Reviews, EarlyView.
ABSTRACT Extra‐pair behaviours – reproductive behaviours, including those related to copulation and paternity of offspring, amongst animals outside of a social pair bond – have long intrigued behavioural ecologists, particularly from the female animal's perspective.
Jørgen S. Søraker, Jamie Dunning
wiley   +1 more source

Advances in causal discovery methods for ecological time series

Biological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki, Masato Yamamichi, Yutaka Osada, Masayuki Ushio, Kohei Nakajima, Hiroshi Masuya, Shohei Shimizu   +6 more
wiley   +1 more source

Short-Term Photovoltaic Power Generation Based on MVMD Feature Extraction and Informer Model

Applied Sciences
Photovoltaic (PV) power fluctuates with weather changes, and traditional forecasting methods typically decompose the power itself to study its characteristics, ignoring the impact of multidimensional weather conditions on the power decomposition ...
Ruilin Xu, Jianyong Zheng, Fei Mei, Xie Yang, Yue Wu, Heng Zhang   +5 more
doaj   +1 more source

Back to Nature or Technology to the Rescue? Climate Managers' Preferences for Investment in Carbon Dioxide Removal

Business Strategy and the Environment, EarlyView.
ABSTRACT Firms are increasingly looking into carbon dioxide removal (CDR), a set of options to take past emissions of greenhouse gases out of the atmosphere. Often two basic categories of CDR are distinguished: nature‐based solutions, such as planting trees or restoring wetlands, and technology‐based solutions, such as various forms of carbon capture ...
Sabrina Mili, Robert Mai, Rolf Wüstenhagen, Moritz Loock   +3 more
wiley   +1 more source