Auflistung Nach Schlagwort "Data handling"
Anzeige der Dokumente 1-20 von 65
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A-tree: Distributed indexing of multidimensional data for cloud computing environments
(2011)Efficient querying of huge volumes of multidimensional data stored in cloud computing systems has become a necessity, due to the widespread of cloud storage facilities. With clouds getting larger and available data growing ... -
Analyzing manufacturing sector and selected development challenges: A panel data analysis
(2021)The importance of manufacturing as a main determinant of economic growth has been explored extensively in the literature considering manufacturing as the engine of economic growth. In our study, a new database covering 117 ... -
Artificial Intelligence, Big Data Analytics, and Smart Cities
(2022)Modern urban life is seeing an increasing rate of adoption of artificial intelligence and smart solutions; however, citizens are still struggling to keep up the pace, and the rate at which they acquire skills and knowledge ... -
ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning
(2021)Machine Learning (ML) applications are growing in an unprecedented scale. The development of easy-to-use machine-learning application frameworks has enabled the development of advanced artificial intelligence (AI) applications ... -
Big spatial and spatio-temporal data analytics systems
(2021)We are living in the era of Big Data, and Spatial and Spatio-temporal Data are not an exception. Mobile apps, cars, GPS devices, ships, airplanes, medical devices, IoT devices, etc. are generating explosive amounts of data ... -
Bringing IoT and cloud computing towards pervasive healthcare
(2012)Pervasive healthcare applications utilizing body sensor networks generate a vast amount of data that need to be managed and stored for processing and future usage. Cloud computing among with the Internet of Things (IoT) ... -
Business Model Canvas for Big and Open Linked Data in Smart and Circular Cities: Findings from Europe
(2022)This article introduces a business model for big and open linked data in smart and circular cities, laying the foundation of a new approach that generates societal, business, and public value. © 1970-2012 IEEE. -
A comparative assessment of machine learning algorithms for events detection
(2019)Nowadays, one can observe massive amount of data production by numerous devices interacting with their environment and end users. [1] Such data can be the subject of advanced processing usually through machine learning ... -
Comparative performance analysis of grid-connected photovoltaic system by use of existing performance models
(2017)Performance analysis of real world efficiency of photovoltaic installations is proven to be a challenging task, as demonstrated by the processing of data from monitoring operation of a photovoltaic park for a period of ... -
A comparison of distributed spatial data management systems for processing distance join queries
(2017)Due to the ubiquitous use of spatial data applications and the large amounts of spatial data that these applications generate, the processing of large-scale distance joins in distributed systems is becoming increasingly ... -
The contribution of open big data sources and analytics tools to sustainable urban mobility
(2019)Sustainable urban mobility is one of the top priorities in European Union and worldwide, as there is an intense tendency of population density increase in urban areas, which results in traffic, economic, environmental and ... -
A Covering Classification Rule Induction Approach for Big Datasets
(2015)With the ever increasing production of data from various heterogeneous sources in modern information societies, the need for scalable data-intensive processing is increasing. MapReduce quickly became the de facto framework ... -
Crop reflectance monitoring as a tool for water stress detection in greenhouses: A review
(2016)Multisensory platforms for remote sensing measurements offer the possibility to monitor in real-time the crop health status without affecting the crop and environmental conditions. The concept of the speaking plant approach, ... -
Data collection from resource-limited wireless sensors for cloud-based applications
(2015)We consider a wireless sensor network (WSN) where each sensor node samples a random signal, places the digitized data in a buffer, and transmits the data to an access point (AP) through a wireless packet erasure communication ... -
Data stream processing at network edges
(2018)This paper studies the problem of finding an assignment of data stream processing components onto servers under the objective to minimize both energy consumption and average delay experienced by end users within the system. ... -
Diana-map: Analyzing mirna from raw ngs data to quantification
(2021)microRNAs (miRNAs) are small non-coding RNAs (~22 nts) that are considered central post-transcriptional regulators of gene expression and key components in many pathological conditions. Next-Generation Sequencing (NGS) ... -
Distance range queries in spatialhadoop
(2016)Efficient processing of Distance Range Queries (DRQs) is of great importance in spatial databases due to the wide area of applications. This type of spatial query is characterized by a distance range over one or two datasets. ... -
Efficient big data analysis on a single machine using apache spark and self-organizing map libraries
(2017)Apache Spark is commonly used as a big data analytical platform on powerful computer clusters, as it primarily employ the main computer memory for the evaluation. Our attempt adds self-organizing map software libraries ... -
Efficient change detection for high dimensional data streams
(2015)The recent technological advancements in cloud computing and the access in increasing computational power has led in undertaking the data processing derived by mobile devices. In particular, when these data are high ... -
Efficient distance join query processing in distributed spatial data management systems
(2020)Due to the ubiquitous use of spatial data applications and the large amounts of such data these applications use, the processing of large-scale distance joins in distributed systems is becoming increasingly popular. Distance ...