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Future Computing and Informatics Journal is a peer-reviewed journal published by Elsevier, covering Cloud Computing and Resource Management, IoT and Edge/Fog Computing, Data Mining Algorithms and Applications.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Future Computing and Informatics Journal 12 (2023) 45–58.
Formats any DOI in Future Computing and Informatics Journal style. No sign-up. |
| Publishes research in | Cloud Computing and Resource Management IoT and Edge/Fog Computing Data Mining Algorithms and Applications Big Data and Business Intelligence Metaheuristic Optimization Algorithms Research |
| ISSN | 2314-7288 |
| h-index | 29 |
| i10-index | 47 |
| Total citations | 4,820 |
| Top institutions publishing here | Helwan University |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Deep Learning is a new machine learning field that gained a lot of interest over the past few years. It was widely applied to several applications and proven to be a powerful machine learning tool for many of the complex problems. In this paper we used Deep Neural Network classifier which is one of the…
Internet of Things (IoT) envisages overall merging of several "things" while utilizing internet as the backbone of the communication system to establish a smart interaction between people and surrounding objects. Cloud, being the crucial component of IoT, provides valuable application specific services in many application domains. A number of IoT cloud providers are currently emerging…
Bio-inspired computing represents the umbrella of different studies of computer science, mathematics, and biology in the last years. Bio-inspired computing optimization algorithms is an emerging approach which is based on the principles and inspiration of the biological evolution of nature to develop new and robust competing techniques. In the last years, the bio-inspired optimization algorithms…
When forecasting time series, it is important to classify them according linearity behavior that the linear time series remains at the forefront of academic and applied research, it has often been found that simple linear time series models usually leave certain aspects of economic and financial data unexplained. The dynamic behavior of most of the…
Key Performance Indicators (KPIs) allows gathering knowledge and exploring the best way to achieve organization goals. Many researchers have provided different ideas for determining KPI's either manually, and semi-automatic, or automatic which is applied in different fields. This work concentrates on providing a survey of different approaches for exploring and predicting key performance indicators (KPIs).
