Results 71 to 80 of about 54,414 (244)

An approach for enhancing data confidentiality in Hadoop

, 2020
The amount of data processed and stored in the cloud is growing dramatically. The traditional storage devices at both hardware and software levels cannot meet the requirement of the cloud. This fact motivates the need for a platform which can handle this
S. Kareem, R. Yousif, Shadan M. Abdalwahid   +2 more
semanticscholar   +1 more source

Advancing Organic Chemistry Using High‐Throughput Experimentation

Angewandte Chemie, Volume 137, Issue 40, September 26, 2025.
This review outlines major advances in the design, execution, analysis, and data management phases of high‐throughput experimentation (HTE). The limitations and potential opportunities of applying modern HTE to organic synthesis are highlighted. Abstract High‐throughput experimentation (HTE), the miniaturization and parallelization of reactions, is a ...
Reem Nsouli, Gaurav Galiyan, Laura K. G. Ackerman‐Biegasiewicz   +2 more
wiley   +2 more sources

Adaptive Node-Oriented Data Placement for Heterogeneous Hadoop Clusters

IEEE Access
Modern society is experiencing a data explosion thanks to rapid IT development and the increasing intelligence of devices. The vast and complex data can be utilized to extract actionable insight using a big data processing framework.
Vishnu Prasad Verma, Santosh Kumar, Nenavath Srinivas Naik   +2 more
doaj   +1 more source

Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies

Expert Systems, Volume 43, Issue 2, February 2026.
ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez, Beatriz Remeseiro, Verónica Bolón‐Canedo   +2 more
wiley   +1 more source

LINEAR REGRESSION WITH R AND HADOOP [PDF]

Challenges of the Knowledge Society, 2015
In this paper we present a way to solve the linear regression model with R and Hadoop using the Rhadoop library. We show how the linear regression model can be solved even for very large models that require special technologies.
Bogdan OANCEA
doaj  

A Mini-Review of Machine Learning in Big Data Analytics: Applications, Challenges, and Prospects

Big Data Mining and Analytics, 2022
The availability of digital technology in the hands of every citizenry worldwide makes an available unprecedented massive amount of data. The capability to process these gigantic amounts of data in real-time with Big Data Analytics (BDA) tools and ...
Isaac Kofi Nti, Juanita Ahia Quarcoo, Justice Aning, Godfred Kusi Fosu   +3 more
doaj   +1 more source

Joint Optimisation of the Gate and Taxi Route During Peak Hours: A Fusion Algorithm of Adaptive Genetic and Artificial Bee Colony

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper develops a novel joint optimisation model using column generation (CG) for airport parking gate and taxi route assignment, especially during peak hours. It proposes a parallel fusion algorithm combining artificial bee colony and adaptive genetic algorithm to solve the model efficiently.
Fujun Wang, Dongqing Liu, Xiangyi Li, Wei Zhang, Hongfei Liu, Jun Bi   +5 more
wiley   +1 more source

Big data: modern approaches to storage and analysis

Труды Института системного программирования РАН, 2018
Big data challenged traditional storage and analysis systems in several new ways. In this paper we try to figure out how to overcome this challenges, why it's not possible to make it efficiently and describe three modern approaches to big data handling ...
Pavel Klemenkov, Sergey Kuznetsov
doaj   +1 more source

Processing Large Amounts of Images on Hadoop with OpenCV [PDF]

, 2015
Modern image collections cannot be processed efficiently on one computer due to large collection sizes and high computational costs of modern image processing algorithms. Hence, image processing often requires distributed computing.
Epanchintsev, T., Sozykin, A.
core  

Refactoring Object‐Oriented Software With ChatGPT: An Empirical Study

IET Software, Volume 2026, Issue 1, 2026.
Generative AI (GenAI) is currently being utilized in many tasks to improve their quality. Because GenAI tools are highly qualified in text‐based applications, they have the potential to automate tasks across the software engineering lifecycle. In this study, we empirically investigate ChatGPT’s ability to perform code refactoring tasks.
Hanady M. Abdulsalam, Ranya Alawadhi, Bader A. Ali, Aisha A. Alkandari, Jehad Al Dallal, Tomasz Górski   +5 more
wiley   +1 more source