Results 61 to 70 of about 812 (217)
Subterranean environments contribute to three‐quarters of classified ecosystem services
ABSTRACT Beneath the Earth's surface lies a network of interconnected caves, voids, and systems of fissures forming in rocks of sedimentary, igneous, or metamorphic origin. Although largely inaccessible to humans, this hidden realm supports and regulates services critical to ecological health and human well‐being.
Stefano Mammola +30 more
wiley +1 more source
Data‐Driven Design of Scalable Perovskite Film Fabrication via Machine Learning–Guided Processing
Considering complex process parameters and poor reproducibility in perovskite thin film fabrication, this study uses machine learning to analyze and predict high‐dimensional process variables. The Random Forest model, identified as the most effective, can effectively analyze and rapidly predict optimal process parameters from extensive data.
Hong Liu +9 more
wiley +1 more source
High‐surface‐area LaFe0.9Ru0.1O3 is prepared by infiltration of porous Amberlite XAD16 polymer beads. Ru exsolution of this perovskite material leads to a supported catalyst with small Ru particles, exhibiting promising catalytic performance propane combustion.
Jaime Gallego +4 more
wiley +1 more source
Mid‐Infrared Spectroscopy and Machine Learning for Chlorogenic Acid Quantification in Coffee
Chlorogenic acid (CGA) concentration in coffee was predicted using mid‐infrared (MIR) spectroscopy and a machine learning approach. Forty‐four roasting stages (140–220 °C) plus a green coffee control were analyzed. A multilayer perceptron regressor, trained on preprocessed MIR data, outperformed traditional peak analysis, enabling accurate and ...
Deborah Herdt +6 more
wiley +1 more source
Yung-Hee Jeon, Bon-Jae Gu, Gi-Hyung Ryu
openaire +1 more source
Key improvements obtained by incorporating nanoparticles into a lab‐scale SAGD process configuration. The bar plots show enhanced oil recovery, reduced viscosity, and increased asphaltene adsorption in nanoparticle‐assisted scenarios compared with conventional SAGD.
Luis Prada +6 more
wiley +1 more source
Detection of focal impaired awareness seizures using a biometric shirt
Abstract Objective In recent years, seizure detection using wearable technology has gained significant attention in research. Most studies, however, have focused on detecting generalized or focal to bilateral tonic–clonic seizures. This study evaluates the feasibility of using a biometric shirt to detect focal impaired awareness seizures (FIAS) by ...
Jérôme St‐Jean +6 more
wiley +1 more source
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker +4 more
wiley +1 more source
ABSTRACT This study innovatively links specific microbial compositions of commercial starter cultures to the evolution of key odorant and taste‐active amino acids, revealing the underlying mechanisms behind distinct flavor profiles. Three microbial starter cultures—Saccharomyces cerevisiae (SC), Scarlet (ST), and Roxaane LC (LC), were added to sausages,
Lili Ji +7 more
wiley +1 more source
Hyun-Woo Choi, Gi-Hyung Ryu
openaire +2 more sources

