Intelligent Methods and Applications in Electronics
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: closed (23 November 2022) | Viewed by 4587
Special Issue Editors
Interests: intelligent methods; edge and cloud computing; quantum artificial intelligence; applied physics; electronics; information and communication technology; applied informatics and mathematics
Interests: applied physics; electronics; optoelectronics; lasers; optimisation; information and communication technology; applied informatics and mathematics
Special Issue Information
Dear Colleagues,
Intelligent methods associated with computational intelligence, such as artificial neural networks, fuzzy and rough sets and evolutionary computation, are nowadays used widely in different industrial environments. They allow us to gain a competitive advantage and enable sustainable and uninterrupted growth. Despite the advantages intelligent methods offer over the statistical methods used traditionally, such as an ability to learn from experience, self-organise or adapt in response to dynamically changing conditions, they still have not been utilised by the electronics industry on a large scale. This Special Issue therefore aims to provide a comprehensive overview of the current state of the art, analytical models, case studies, software and hardware solutions, data analytics through design methodologies and technical solutions or practical applications.
The topics of interest include, but are not limited to:
- Intelligent design of microelectronic and optoelectronic devices;
- Intelligent quality assurance of electronic devices;
- Intelligent software-defined networks;
- Intelligent network performance analysis;
- Intelligent network routing and capacity planning;
- Intelligent fulfilment of QoS requirements;
- Intelligent smart IoT applications;
- Intelligent cloud, edge and fog infrastructure;
- Intelligent electronics for quantum computing;
- Intelligent electronics for scientific experiments;
- Intelligent pattern recognition in audio and video.
Dr. Marian Rusek
Dr. Michał Szymański
Dr. Dariusz Strzęciwilk
Guest Editors
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Keywords
- big data
- cloud computing
- computational intelligence
- dependability assessment
- edge and fog computing
- electronic communication systems
- electronic devices
- intelligent methods
- internet of things
- machine learning
- network performance
- pattern recognition
- quality of service
- quantum artificial intelligence
- queueing systems
- sensor arrays
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