Results 81 to 90 of about 14,382 (202)
This research mainly explores the intersection of health and data science, highlighting the significance of interdisciplinary collaboration and cutting‐edge techniques in addressing contemporary healthcare challenges. By examining various domains such as public health, oncology, diabetes, radiology and cardiology, this research investigation ...
Zarif Bin Akhtar
wiley +1 more source
Source camera identification: a distributed computing approach using Hadoop
The widespread use of digital images has led to a new challenge in digital image forensics. These images can be used in court as evidence of criminal cases. However, digital images are easily manipulated which brings up the need of a method to verify the
Muhammad Faiz +4 more
doaj +1 more source
Optimising Internet of Things (IoT) Performance Through Cloud, Fog and Edge Computing Architecture
This review examines the integration of IoT with cloud, fog, and edge computing, highlighting their collective potential to enhance scalability, reduce latency, and improve computational efficiency. Whereas cloud computing offers scalable processing, fog and edge computing mitigate latency issues, improving response times by up to 40% and 30 ...
Shams Forruque Ahmed +5 more
wiley +1 more source
FLICK: developing and running application-specific network services [PDF]
Data centre networks are increasingly programmable, with application-specific network services proliferating, from custom load-balancers to middleboxes providing caching and aggregation.
Alim, A +16 more
core
The volume of data is growing at an astonishingly high speed. Traditional techniques for storing and processing data, such as relational and centralized databases, have become inefficient and time-consuming. Linked data and the Semantic Web make internet
Wria Mohammed Salih Mohammed +1 more
doaj +1 more source
Approaches for parallel data loading and data querying [PDF]
This paper aims to bring contributions in data loading and data querying using products from the Apache Hadoop ecosystem. Currently, we talk about Big Data at up to zettabytes scale (10^21 bytes).
Vlad DIACONITA
doaj
An Experiment on Bare-Metal BigData Provisioning [PDF]
Many BigData customers use on-demand platforms in the cloud, where they can get a dedicated virtual cluster in a couple of minutes and pay only for the time they use.
Desnoyers, Peter +6 more
core +1 more source
Integración de herramientas para la toma de decisiones en la congestión vehicular
Este estudio tiene como finalidad presentar un análisis de la utilización e integración de herramientas tecnológicas que ayudan a tomar decisiones en situaciones de congestión vehicular.
Nelson Ivan Herrera-Herrera +2 more
doaj +1 more source
Big Data analytics for storing, processing, and analyzing large-scale datasets has become an essential tool for the industry. The advent of distributed computing frameworks such as Hadoop and Spark offers efficient solutions to analyze vast amounts of ...
N. Ahmed +3 more
doaj +1 more source
DISCOVERING THE PROBLEMS OF THE AMERICAN AIRLINE COMPANIES BY USING R AND BIG DATA TOOLS
Big data systems solve today's large scale data analytics needs. In addition, succesfull analysis systems emerge when we combine statistical power of R programming and data visualization with power of making big scalability applications of big data ...
Mustafa Vahit KESKİN, Doğan YILDIZ
doaj

