Results 51 to 60 of about 13,638 (169)
Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies
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 +2 more
wiley +1 more source
The continuous demand for reliable and privacy‐sensitive face recognition and detection has led to improvements in machine learning and federated learning (FL) frameworks. While the centralized framework of existing solutions is beneficial for data collection, it presents significant privacy concerns and challenges due to the diversity of data types ...
Wisam Hazim Gwad +4 more
wiley +1 more source
Empirical Analysis of Recent Advances, Characteristics and Challenges of Big Data [PDF]
Here in this study, we provide an empirical analysis of recent advances, characteristic and challenges of big data. Initially, we acquaint the readers with the general background, history, and characteristics of big data including volume, velocity, value
Burhanullah Khattak +5 more
doaj +1 more source
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 +6 more
wiley +1 more source
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 +5 more
wiley +1 more source
A sliding window-based dynamic load balancing for heterogeneous Hadoop clusters
At present MapReduce computing model‐based Hadoop framework has gradually become the most famous distributed computing framework because of its remarkable features such as scalability, fault tolerance, data security, and powerful IO ability.
Xiang, Y. +4 more
core +1 more source
Performance Optimization System for Hadoop and Spark Frameworks
The optimization of large-scale data sets depends on the technologies and methods used. The MapReduce model, implemented on Apache Hadoop or Spark, allows splitting large data sets into a set of blocks distributed on several machines.
Astsatryan Hrachya +3 more
doaj +1 more source
Processing streams in a monitoring cloud cluster
The creation of monitoring clusters based on cloud computing technologies is a promising direction for the development of systems for continuous monitoring of objects for various purposes in the web space.
Alexey N. Nazarov
doaj +1 more source
Refactoring Object‐Oriented Software With ChatGPT: An Empirical Study
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 +5 more
wiley +1 more source
High-performance and high-concurrency encryption scheme for Hadoop platform
To address the problem that as preventing data leakage on Hadoop platform,the existing encryption schemes suffer from several problems (e.g.,single encryption algorithm,complicated key management,low encryption performance) and they cannot protect data ...
Wei JIN +4 more
doaj +2 more sources

