Results 151 to 160 of about 5,207,763 (284)

Pathological Voice Classification Using Empirical Mode Decomposition and Ensemble Empirical Mode Decomposition with Extreme Learning Machine

open access: yes
Pathological voice analysis has been proved as an important computer aided diagnostic approach for early identification of laryngeal disorders using sustained phonation recordings. Due to the highly non-linear and non-stationary nature of speech signals,
Anil Kumar V
core   +1 more source

Toward a Paradigm Shift in Low‐Temperature SCR Catalyst Design: Defect Engineering and Data‐Driven Integration

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work systematically reviews the key factors influencing the performance of low‐temperature NH3‐SCR. The mechanism and challenges of defect engineering strategies, such as oxygen vacancies, heteroatom doping, crystal facet exposure, and surface reconstruction, in controlling both activity and selectivity were analyzed.
Rongrong Kan   +3 more
wiley   +1 more source

Advances in Design Strategy and Mechanism Insights for Alkaline Hydrogen Evolution Reaction: Multilevel Site Engineering and Structure–Activity Relationship

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This review is about material design based on engineering multilevel sites from theoretical calculation and synthetic routes to mechanism, structure–activity relationship, challenges and perspectives for boosting hydrogen production in alkaline electrolyte. Electrolytic water splitting is a clean, carbon‐free method for producing green hydrogen and has
Ke Zhang   +9 more
wiley   +1 more source

Harnessing Thin‐Film Solid‐State Electrolytes: Enabling Breakthroughs in All‐Solid‐State Batteries

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Schematic illustration highlighting the advantages of transitioning from traditional thick solid‐state electrolytes (SSEs) to thin‐film SSEs. Thinning the electrolyte enables higher ionic conductivity, reduced interfacial polarization, improved flexibility, compact electrode contact, and enhanced energy density, offering a promising pathway toward high‐
Yitao He   +3 more
wiley   +1 more source

Translating Across Boundaries: The Process of Integrating Forestry Into the German National Water Strategy

open access: yesEnvironmental Policy and Governance, EarlyView.
ABSTRACT Participatory processes are increasingly recognized as essential components of modern environmental governance. While much scholarly attention has been devoted to the design and implementation of such processes, less is known about the critical phase between participatory processes and final policy outputs.
Sabeth Häublein
wiley   +1 more source

Machine Learning Modeling of Drill Cuttings Transport Based on Computational Fluid Dynamics Simulation Data

open access: yesEnergy Science &Engineering, EarlyView.
Machine learning surrogates accurately predict drill cuttings transport from computational fluid dynamics data, with Reynolds number dominating system behavior. While tree‐based models excel in accuracy, Gaussian process regression provides physically consistent, smooth predictions essential for reliable drilling simulations.
Kathrin Skinder   +3 more
wiley   +1 more source

Post‐Stimulation Hydraulic Response and Productivity Constraints of a Low‐Productivity Carbonate Geothermal Well in the Small Intramontane Basin, Beijing Piedmont, North China

open access: yesEnergy Science &Engineering, EarlyView.
Formed ~1.4 Ga, the carbonate reservoir of the Jixian System is a key geothermal reservoir in northern China. Differential basin–mountain evolution since the Cenozoic led to distinct reservoir‐forming histories; consequently, this same reservoir shows marked productivity contrasts between intramontane basins and the large rift Bohai Bay Basin ...
Chuanqing Zhu   +6 more
wiley   +1 more source

A Novel Text‐Based Framework for Forecasting Carbon Prices

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley   +1 more source

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