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International Journal of Computers and Applications is a peer-reviewed journal published by Taylor & Francis, covering Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems, Energy Efficient Wireless Sensor Networks.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." International Journal of Computers and Applications 12 (3): 45–58.
Formats any DOI in International Journal of Computers and Applications style. No sign-up. |
| Publishes research in | Parallel Computing and Optimization Techniques Distributed and Parallel Computing Systems Energy Efficient Wireless Sensor Networks Cloud Computing and Resource Management Network Security and Intrusion Detection |
| ISSN | 1206-212X |
| Citation impact (2-yr) | 2.17 |
| h-index | 34 |
| i10-index | 218 |
| Total citations | 8,127 |
| Top institutions publishing here | Vellore Institute of Technology University |
| Journal website | www.tandfonline.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.
In this work, we propose hyperparameters optimization using grid search to optimize the parameters of eight existing models and apply the best parameters to predict the outcomes of HIV tests from the Ethiopian Demographic and Health Survey (EDHS), HIV/AIDS dataset. The core challenge of this work is to find the right or optimum parameter values…
Learning objects offer increased ability to share learning resources so that system-wide production costs can be reduced. But how can users select from a set of similar learning objects in a repository and be assured of quality? This article reviews recent developments in the establishment of learning object repositories and metadata standards, and presents a…
Semantic web and its technologies have been eyed in many fields. They have the capacity to organize and link data over the web in a consistent and coherent way. Semantic web technologies consist of RDF schema, OWL, and rule and query languages like SPARQL and these technologies will help the various domains to resolve their…
The evolution in the attack scenarios has been such that finding efficient and optimal Network Intrusion Detection Systems (NIDS) with frequent updates has become a big challenge. NIDS implementation using machine learning (ML) techniques and updated intrusion datasets is one of the solutions for effective modeling of NIDS. This article presents a brief description of…
This paper plans to develop an effective machine learning system integrated with the Internet of Things (IoT) to predict the health insurance amount. IoT in healthcare enables interoperability, machine-to-machine communication, information exchange, and data movement that make healthcare service delivery effective. The model includes three phases (a) Feature Extraction, and (b) Weighted Feature Extraction, and…
Communications in Statistics - Theory and Methods
Econometric Reviews
Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
International Journal of Control
International Journal of Production Research
Journal of Business & Economic Statistics
Journal of Nonparametric Statistics
Journal of the American Statistical Association
