Results 61 to 70 of about 11,273 (224)

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

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, Volume 14, Issue 2, Page 935-961, February 2026.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 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  

Proposed Business Intelligence Systemthrough Big Data [PDF]

Engineering and Technology Journal, 2016
Every company or institution in the world has huge amounts of raw data. Since, we are living now in the era of data and data explosion, data is generated in an alarming rates.
Hasanen S. Abdullah, Saif Bashar Neama
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

An Enhanced Approach for Intrusion Detection Modeling to Secure IoT Network by Using Big Data Analytics

IET Information Security, Volume 2026, Issue 1, 2026.
Since 1980, the arrival of the internet has made fabulous changes, and presently, the Internet of Things (IoT) is having the same track. IoT becomes more attractive due to its potential, but on the other hand, the IoT network is targeted to be demolished.
Ahmad Bilal, Huma Jamshed, Muhammad Ayoub Kamal, Qurat-ul-ain Mastoi, Toqeer Ali Syed, It Ee Lee, Jiwei Tian   +6 more
wiley   +1 more source

Digital Forensics Readiness in Big Data Networks: A Novel Framework and Incident Response Script for Linux–Hadoop Environments

Applied System Innovation
The surge in big data and analytics has catalysed the proliferation of cybercrime, largely driven by organisations’ intensified focus on gathering and processing personal data for profit while often overlooking security considerations.
Cephas Mpungu, Carlisle George, Glenford Mapp   +2 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

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

Digital Transformation of Energy Systems: Technologies, Data, Governance and Cyber Security

IET Smart Grid, Volume 9, Issue 1, January/December 2026.
A comprehensive review of the digital transformation of modern energy systems through the integration of technologies such as the Internet of Things (IoT), artificial intelligence (AI) and digital twin frameworks. This paper investigates how digitalisation in the energy sector contributes to achieving net‐zero emissions by enhancing operational ...
Zoya Pourmirza, Mehmet Bozdal, Mohamad Khalil, Emily Judson, Sara Walker   +4 more
wiley   +1 more source