Results 91 to 100 of about 31,142 (265)
ACM Computing Surveys, 2013 Data stream mining is an active research area that has recently emerged to discover knowledge from large amounts of continuously generated data. In this context, several data stream clustering algorithms have been proposed to perform unsupervised learning.
Jonathan de Andrade Silva +5 more
openaire +1 more source
Electro‐Steric Ion Confinement in Polyelectrolyte Networks for Robust Nonvolatile Artificial Synapse
Advanced Functional Materials, EarlyView.Polyelectrolyte stoichiometry governs ion transport and retention in electrolyte‐gated synaptic transistors. A PSS‐rich network creates electro‐steric ion confinement that suppresses ion back‐diffusion and stabilizes channel doping, enabling robust nonvolatile synaptic memory, linear weight updates, and low‐energy operation.
Donghwa Lee +9 more
wiley +1 more source
Solution‐Processed Thin‐Film Transistors With Tunable Temporal Dynamics for Neuromorphic Computing
Advanced Functional Materials, EarlyView.Solution‐processed CNT and CNT/P3HT ion‐gated transistors exhibit materials‐defined synaptic timescales: fast CNT devices for high‐frequency spiking and slow hybrid devices for temporal integration. Embedding these dynamics into coupled reservoir‐computing and spiking neural network simulations reveals that a Hybrid‐Reservoir / CNT‐SNN architecture ...
Kevin Schnittker +5 more
wiley +1 more source
Region of interest-based adaptive multimedia streaming scheme
, 2008 Adaptive multimedia streaming aims at adjusting the transmitted content based on the available bandwidth such as losses that often severely affect the end-user perceived quality are minimized and consequently the transmission quality increases.
Ghinea, G +5 more
core
Learning from medical data streams: an introduction [PDF]
, 2011 Clinical practice and research are facing a new challenge created by the rapid growth of health information science and technology, and the complexity and volume of biomedical data.
Rodrigues, P. +6 more
core
Resource-aware mining of data streams [PDF]
, 2005 Mining data streams has raised a number of research challenges for the data mining community. These challenges include the limitations of computational resources, especially because mining streams of data most likely be done on a mobile device with ...
Gaber, Mohamed Medhat +11 more
core +1 more source
Advanced Functional Materials, EarlyView.Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son +5 more
wiley +1 more source
Lower bounds for multi-pass processing of multiple data streams [PDF]
, 2009 This paper gives a brief overview of computation models for data stream processing, and it introduces a new model for multi-pass processing of multiple streams, the so-called mp2s-automata.
Schweikardt, Nicole
core +1 more source
Applied 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
Data Streams: Algorithms and Applications [PDF]
Foundations and Trends® in Theoretical Computer Science, 2005 In the data stream scenario, input arrives very rapidly and there is limited memory to store the input. Algorithms have to work with one or few passes over the data, space less than linear in the input size or time significantly less than the input size.
openaire +2 more sources