Results 91 to 100 of about 24,707,127 (346)

Upcycling Keratin‐Based Textile Waste Into High‐Performance Hybrid Fibers Via Tuning the Interfacial Interactions

open access: yesAdvanced Functional Materials, EarlyView.
Keratin recovered from animal‐hair textile waste is fractionated and blended with cellulose to produce continuously spun hybrid fibers. Selecting the high‐molecular‐weight keratin fraction enables 30 wt.% keratin incorporation while maintaining high strength in dry and wet states.
Mian Zhai   +6 more
wiley   +1 more source

Exponentially Weighted Moving Average for Concept Drift Detection With Cautious Learning

open access: yesIEEE Access
Concept drift detection is essential for maintaining the reliability of machine learning systems deployed in dynamic, real-world environments. Drift detectors have become increasingly important for monitoring streaming classification tasks, where models ...
Irving D. Estrada-Lopez   +1 more
doaj   +1 more source

Mining data streams

open access: yesACM SIGMOD Record, 2005
The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously and in a very high fluctuating data rates. Examples include sensor networks, web logs, and computer network traffic.
Mohamed Medhat Gaber   +2 more
openaire   +3 more sources

An Epigenetic Fate Converter Based on Nuclei‐Targeting Lipid Nanoparticles Drives Neuronal Programming of Stem Cells for Spinal Cord Repair

open access: yesAdvanced Functional Materials, EarlyView.
Schematic illustration of LNP‐MPG nuclei‐targeting delivery of HMW‐FGF2 promoting histone acetylation to regulate the fate of DPSCs and treat spinal cord injury. LNPs components include pHMW‐FGF2 plasmid, DSPC, Dlin‐MC3‐DMA, cholesterol, and PEG2000, and are modified with MPG to form HMW‐FGF2@LNP‐MPG (HLM). HLM nuclei‐targets DPSCs to deliver HMW‐FGF2,
Heng Zhou   +6 more
wiley   +1 more source

jaimeliew1/Streaming-DMD: pre-release

open access: yes, 2021
A streaming dynamic mode decomposition algorithm in ...
Jaime Liew
core   +1 more source

Towards Model-Based Online Monitoring of Cyclist’s Head Thermal Comfort: Smart Helmet Concept and Prototype

open access: yesApplied Sciences, 2019
Bicyclists can be subjected to crashes, which can cause injuries over the whole body, especially the head. Head injuries can be prevented by wearing bicycle helmets; however, bicycle helmets are frequently not worn due to a variety of reasons. One of the
Ali Youssef   +7 more
doaj   +1 more source

Self‐Assembled Crystalline Peptoid Nanomaterials as Metal‐Free Enzyme Mimics for Enhanced Carbon Dioxide Hydration and Precipitation

open access: yesAdvanced Functional Materials, EarlyView.
Inspired by metal‐free carbonic anhydrases (CAs) that achieve efficient catalysis without metal cofactors, we herein report a sequence‐defined supramolecular peptoid platform that mimics metal‐free CAs and exhibits hydrolytic activity via a supramolecular assembly‐mediated proton‐transfer mechanism.
Progyateg Chakma   +8 more
wiley   +1 more source

Digital Twin-Enabled Edge Federated Learning for Data Streams

open access: yesTsinghua Science and Technology
With the significant advancement in the Internet of Things (IoT), Streaming Federated Learning (SFL) as a novel distributed learning approach can deal with time-varying streaming data among multiple sources.
Zhenzhen Xie   +5 more
doaj   +1 more source

Incremental Learning for Classification of Unstructured Data Using Extreme Learning Machine

open access: yesAlgorithms, 2018
Unstructured data are irregular information with no predefined data model. Streaming data which constantly arrives over time is unstructured, and classifying these data is a tedious task as they lack class labels and get accumulated over time.
Sathya Madhusudhanan   +2 more
doaj   +1 more source

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

open access: yesAdvanced Functional Materials, EarlyView.
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep   +4 more
wiley   +1 more source

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