Results 101 to 110 of about 31,142 (265)

Application of Ibuprofen Sodium Dihydrate for Thermochemical Energy Storage

open access: yesAdvanced Functional Materials, EarlyView.
Ibuprofen sodium dihydrate is introduced as a durable organic salt hydrate for low‐temperature thermochemical energy storage, operating within 60°C–110°C with high energy density. At the material level, it delivers ∼99.9% cycling efficiency over 150 cycles without deliquescence, enabled by a dual energy‐storage mechanism coupling dehydration and phase ...
Kavin Chakravarthy Thangaraj   +10 more
wiley   +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

Surprising Water Slipping Performance on Highly Hydrophilic PEG‐Derived Monolayer‐Covered Surfaces: Preparation, Mechanism, and Application

open access: yesAdvanced Functional Materials, EarlyView.
Highly hydrophilic surfaces (water contact angle, ≈17.7°) exhibiting surprising water slipping performance (sliding angle, ≈7.3°) are successfully prepared via simple chemisorption of polyethylene glycol (PEG) organosilane and subsequent alkali‐treatment.
Hyeonjin Kim   +5 more
wiley   +1 more source

RD-GST: online method for constructing distributed generalized suffix trees

open access: yesТехнічна інженерія
Generalized suffix trees (GST) are fundamental data structures for exact substring search with linear time complexity with respect to query length , regardless of the size of the indexed corpus.
I.S. Sadovyi, V.V. Vorotnikov
doaj   +1 more source

Collaborative Filtering on Data Streams [PDF]

open access: yes, 2005
Collaborate Filtering is one of the most popular recommendation algorithms. Most Collaborative Filtering algorithms work with a static set of data. This paper introduces a novel approach to providing recommendations using Collaborative Filtering when user rating is received over an incoming data stream.
Jorge M. Barajas, Xue Li 0001
openaire   +2 more sources

Support‐Controlled Reaction Pathways via Dynamic Sulfur‐Mediated Interfaces for Selective Urea Electrolysis

open access: yesAdvanced Functional Materials, EarlyView.
Sulfur‐doped graphitized carbon nanofibers act as adaptive catalyst–support platforms, enabling dynamic sulfur‐mediated reconstruction and strong metal–support interactions. This unique behavior enhances catalyst stability and controls reaction pathways, achieving highly selective urea oxidation (∼92% N2) coupled with efficient hydrogen evolution ...
Melanie Guillén‐Soler   +4 more
wiley   +1 more source

Feasibility of Harvesting Power To Run A Domestic Water Meter Using Streaming Cell Technology

open access: yes, 2014
We investigate the possibility of using streaming cells as a means of harvesting energy from the town water supply. We measure the electrical power developed from streaming cells using tap water as a working fluid.
Jones, Mark Hedley, Scott, Jonathan B.
core  

Fairness and Explanations in Entity Resolution: An Overview

open access: yesIEEE Access
Entity Resolution (ER) is a fundamental task in data integration, enabling the identification of records that refer to the same real-world entity across diverse and often heterogeneous data sources.
Tiago Brasileiro Araujo   +2 more
doaj   +1 more source

High-performance federated continual learning algorithm for heterogeneous streaming data

open access: yesTongxin xuebao, 2023
Aiming at the problems of poor model performance and low training efficiency in training streaming data of AI models that provide intelligent services, a high-performance federated continual learning algorithm for heterogeneous streaming data (FCL-HSD ...
Hui JIANG   +4 more
doaj  

Clustering categorical data streams

open access: yesJournal of Computational Methods in Sciences and Engineering, 2011
In this paper, we propose an efficient clustering algorithm for analyzing categorical data streams. It has been proved that the proposed algorithm uses small memory footprints. We provide empirical analysis on the performance of the algorithm in clustering both synthetic and real data streams.
Zengyou He   +3 more
openaire   +2 more sources

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