Results 81 to 90 of about 26,646,267 (236)

Distributed Data Streams

, 2022
AbstractWe consider a scenario where a server is wirelessly connected to countless sensor nodes that continuously measure data. The task of the server is to monitor the sensors’ data. More precisely, at each time step the server calculates a function defined over the current measurements of the sensors.
Jannik Castenow, Björn Feldkord, Jonas Hanselle, Till Knollmann, Manuel Malatyali, Friedhelm Meyer auf der Heide   +5 more
openaire   +1 more source

SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream

AAAI Conference on Artificial Intelligence, 2016
Most approaches to classifying data streams either divide the stream into fixed-size chunks or use gradual forgetting. Due to evolving nature of data streams, finding a proper size or choosing a forgetting rate without prior knowledge about time ...
Ahsanul Haque, L. Khan, M. Baron
semanticscholar   +1 more source

TTDSP:A Cost-Effective Approach to Tracking Tuple in Data Stream Processing

Dianxin kexue, 2013
The traditional data stream processing systems will keep all the tuples in the memory until they have been processed in order to provide reliable tuple processing.Unfortunately,the strategy will take up much memory.To address this issue,a cost-effective ...
Huaming Du, Peng Zhang, Kefu Xu, Jianlong Tan, Yan Li   +4 more
doaj   +2 more sources

Prehospital factors associated with mortality among road traffic injury patients: analysis of Cameroon trauma registry data

BMC Emergency Medicine
Background Cameroon is amongst the worst affected countries by road traffic injuries with an estimated 1443 disability-adjusted life years per 100,000 population.
Serge Ngekeng, Odette Kibu, Rasheedat Oke, Nahyeni Bassah, Darwin Arole Touko, Mark T. Yost, Fanny Dissak-Delon, Nicholas Tendongfor, Georges Nguefack-Tsague, Alan Hubbard, Sandra I. McCoy, S. Ariane Christie, Alain Chichom-Mefire, Catherine Juillard   +13 more
doaj   +1 more source

Engineering Crowdsourced Stream Processing Systems [PDF]

, 2014
A crowdsourced stream processing system (CSP) is a system that incorporates crowdsourced tasks in the processing of a data stream. This can be seen as enabling crowdsourcing work to be applied on a sample of large-scale data at high speed, or ...
Carlos Castillo, Crp Henri Tudor, Ioanna Lykourentzou, Muhammad Imran, Yannick Naudet   +4 more
core  

Data stream clustering by divide and conquer approach based on vector model

Journal of Big Data, 2016
Recently, many researchers have focused on data stream processing as an efficient method for extracting knowledge from big data. Data stream clustering is an unsupervised approach that is employed for huge data.
Madjid Khalilian, N. Mustapha, M. N. Sulaiman   +2 more
semanticscholar   +1 more source

System of integrated management of electromechanical aircraft systems

Vojnotehnički Glasnik, 2000
One of regular tasks of modern fighter designers is the integration of on-board systems and subsystems aiming to improve their performances as well as to reduce the number of electro-electronic boxes by reducing their dimensions and weights.
Dragan Simić
doaj   +1 more source

Time series big data: a survey on data stream frameworks, analysis and algorithms. [PDF]

J Big Data, 2023
Almeida A, Brás S, Sargento S, Pinto FC.   +3 more
europepmc   +1 more source

Overview of Wind and Photovoltaic Data Stream Classification and Data Drift Issues

Energies
The development in the fields of clean energy, particularly wind and photovoltaic power, generates a large amount of data streams, and how to mine valuable information from these data to improve the efficiency of power generation has become a hot spot of
Xinchun Zhu, Yang Wu, Xu Zhao, Yunchen Yang, Shuangquan Liu, Luyi Shi, Yelong Wu   +6 more
doaj   +1 more source

Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile Crowdsourcing. [PDF]

Sensors (Basel), 2023
Bruns R, Dötterl J, Dunkel J, Ossowski S.   +3 more
europepmc   +1 more source