BOHR Journal of Computational Intelligence and Communication Network (BJCICN) is an open access peer-reviewed journal that publishes articles which contribute new results in all the areas of Computational Intelligence and Communication Network. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in this area.
Published: 2023-09-22
Table of Contents
Recognizing traffic signs with synthetic data and deep learning
Article Type : Review
DOI: 10.54646/bjcicn.2023.027-15
Nonlinear controller for the laser fiber using PID controller
Article Type : Review
DOI: 10.54646/bjcicn.2023.1062-67
Detection and tracking of vehicles using license plate recognition
Article Type : Research
DOI: 10.54646/bjcicn.2023.011-6
Computer intelligence in higher education
Article Type : Research
DOI: 10.54646/bjcicn.2023.0316-20
The performance evolution of antivirus security systems in ultradense cloud server using intelligent deep learning
Article Type : Research
DOI: 10.54646/bjcicn.2023.0421-25
An RFID-based smart school attendance and monitoring system
Article Type : Research
DOI: 10.54646/bjcicn.2023.0526-34
Analysis of CoDBR and CEEDBR protocols in underwater wireless sensor networks
Article Type : Research
DOI: 10.54646/bjcicn.2023.0635-42
Visualization of multidimensional areas of solutions to mathematical models of complex objects
Article Type : Research
DOI: 10.54646/bjcicn.2023.0954-61