Results 71 to 80 of about 25,310,122 (328)
Dynamic Adaptation on Non-Stationary Visual Domains
, 2018 Domain adaptation aims to learn models on a supervised source domain that perform well on an unsupervised target. Prior work has examined domain adaptation in the context of stationary domain shifts, i.e. static data sets.
B Moiseev +10 more
core +1 more source
Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology
Advanced Engineering Materials, EarlyView.We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham +7 more
wiley +1 more source
Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies
Advanced Engineering Materials, EarlyView.Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo +3 more
wiley +1 more source
IEEE Access, 2020 Outlier detection over sliding window is a fundamental problem in the domain of streaming data management, which has has been studied over 10 years. The key to supporting outlier detection is to construct a neighbour list for each object, which is used ...
Rui Zhu +6 more
doaj +1 more source
S-Isomap++: Multi Manifold Learning from Streaming Data
, 2017 Manifold learning based methods have been widely used for non-linear dimensionality reduction (NLDR). However, in many practical settings, the need to process streaming data is a challenge for such methods, owing to the high computational complexity ...
Chandola, Varun, Mahapatra, Suchismit
core +1 more source
Gradient-Based Training of Gaussian Mixture Models for High-Dimensional Streaming Data [PDF]
Neural Processing Letters, 2019 We present an approach for efficiently training Gaussian Mixture Model (GMM) by Stochastic Gradient Descent (SGD) with non-stationary, high-dimensional streaming data.
A. Gepperth, Benedikt Pfülb
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView.High‐frequency (HF) welding of steel is limited by oxide inclusions that degrade weld quality. This study demonstrates, for the first time, the integration of a nonthermal Ar/H2 dielectric barrier discharge (DBD) plasma jet into HF welding. Local plasma treatment provides effective shielding and in‐situ oxide reduction, resulting in markedly fewer and ...
Viktor Udachin +4 more
wiley +1 more source
Information-Theoretic Data Discarding for Dynamic Trees on Data Streams
Entropy, 2013 Ubiquitous automated data collection at an unprecedented scale is making available streaming, real-time information flows in a wide variety of settings, transforming both science and industry.
Christoforos Anagnostopoulos +1 more
doaj +1 more source
Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019 Nowadays many applications require to analyse the continuous flow of data produced by different data sources before the data is stored. Data streaming engines emerged as a solution for processing data on the fly. At the same time, computer architectures have evolved to systems with several interconnected CPUs and Non Uniform Memory Access (NUMA), where
Patiño Martínez, Marta +1 more
openaire +2 more sources
Efficient multi-label classification for evolving data streams [PDF]
, 2010 Many real world problems involve data which can be considered as multi-label data streams. Efficient methods exist for multi-label classification in non streaming scenarios.
Bifet, Albert +3 more
core +1 more source