Results 101 to 110 of about 88,867 (255)

“Smelltronics”—From Gas to Smell Sensing

open access: yesAdvanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono   +7 more
wiley   +1 more source

Application of Deep Learning-Based Multi-Class Anomaly Detection in Geochemical Exploration with Bayesian Hyperparameter Tuning

open access: yesJournal of Economic Geology
In this study, 1,238 stream‑sediment samples from the Pariz and Chahargonbad areas of southwestern Kerman Province were analyzed to identify geochemical anomalies.
Puyan Javandel   +2 more
doaj   +1 more source

Sustainable and Multifunctional Natural Macromolecular Polymers for Aqueous Zn Metal Batteries

open access: yesAdvanced Materials, EarlyView.
We comprehensively review the structure‐function relationships and regulatory mechanism of natural macromolecular polymers in stabilizing zinc anodes at the microscopic and mesoscopic scales. The interactions among polymer structures, optimization strategies, and regulatory mechanisms are discussed systematically summarizing recent related research ...
Yunuo Shi   +13 more
wiley   +1 more source

ISOLATION FOREST PARAMETER TUNING FOR MOBILE APP ANOMALY DETECTION BASED ON PERMISSION REQUESTS

open access: yesPilar Nusa Mandiri
Ensuring mobile app security needs the capability to detect apps that request excessive or inappropriate permissions. This research proposes an anomaly detection approach using Isolation Forest, enhanced through hyperparameter tuning, to identify suspect
Valencia Claudia Jennifer Kaunang   +5 more
doaj   +1 more source

Engineering Pluripotent Stem Cells‐Derived Inner Ear Organoids With Enhanced Maturation and Reproducibility by Micro‐Topographical Cues

open access: yesAdvanced Materials, EarlyView.
Micro‐topographical cues applied through temporally controlled microscale confinement improve the reproducibility, spatial organization, and neurosensory‐associated features of pluripotent stem cell‐derived inner ear organoids. Integration with a vascularized organoid platform further enables controlled investigation of vascular‐epithelial interactions
Harshita Sharma   +15 more
wiley   +1 more source

Polyphenol‐Inspired Materials for Agricultural Applications

open access: yesAdvanced Materials, EarlyView.
This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu   +8 more
wiley   +1 more source

An Empirical Characterization of the Stability of Isolation Forest Results

open access: yes
Isolation Forests (IForest), a specific variant of Random Forests tailored for anomaly detection, operate by isolating points through recursive partitioning. Despite their widespread use and enhancements in splitting rules, training schemes, and anomaly scoring, an often overlooked aspect is their stability due to the inherent randomness. Surprisingly,
Azzari, Alberto, Bicego, Manuele
openaire   +2 more sources

Review of Inorganic Separator Engineering for Next‐Generation Lithium–Sulfur Batteries: Compromise or Cornerstone?

open access: yesAdvanced Materials, EarlyView.
Inorganic compound‐modified separators transform lithium–sulfur batteries from passive polysulfide confinement to active reaction‐pathway regulation. A Practical Relevance Index (PRI)‐guided framework bridges interfacial chemistry of inorganic separators with practical constraints, establishing unified design principles for scalable, high‐energy ...
Yuting Qin   +7 more
wiley   +1 more source

HADA: A Hybrid Anomaly Detection Approach Using Unsupervised Machine Learning

open access: yesEngineering Reports
This paper introduces HADA, a novel hybrid unsupervised anomaly detection approach that addresses critical limitations in financial fraud detection through innovative integration of principal component analysis (PCA), isolation forest (IF), and ...
Francis Thiong'o   +3 more
doaj   +1 more source

Leveraging Data‐Driven and Fundamental Insights for Electrolyte Innovation in Lithium Metal Batteries

open access: yesAdvanced Materials, EarlyView.
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong   +6 more
wiley   +1 more source

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