Emerging Trends in Computational Intelligence, Networks Technologies, and Wireless Communication Systems
The fields of computational intelligence, Networks Technologies, and Wireless Communication Systems have grown tremendously over the past few years, and the credit goes to evolving soft computing, artificial intelligent methodologies, machine learning, robotics technology, self-driven vehicles, new medical devices, Internet of Things (IoT), Industry 4.0, tools and techniques for envisaging the essence of intelligence embedded in real-life observations.
As traditional models struggle to cope with complexity, noise, and the existence of a changing environment, while Computational Intelligence, Networks Technologies, and Wireless Communication Systems offer solutions to complicated problems as well as reverse problems.
The Computational Intelligence, Networks Technologies, and Wireless Communication Systems are now not limited to only specific computational, networking, and wireless communication fields, they have made inroads in signal processing, smart manufacturing, predictive control, robot navigation, environment friendly energy systems, smart cities, and sensor design to name a few.
The salient features of Computational Intelligence, Networks Technologies, and Wireless Communication Systems are the adaption of niche technologies such as machine learning, computational neuroscience, drones, new medical devices, Industry 4.0 and environmental friendly energy systems mobile technologies, Reliable Cooperative Networks and Delay Tolerant Networks (DTN).
This special collection aims to present high-quality research papers that report the latest research advances in this field from emerging trends in computational intelligence, networks technologies, and Wireless Communication Systems.
Topics of interest include, but are not limited to:
• Machine learning.
• Data mining.
• Soft computing.
• Artificial intelligence methodologies.
• Statistical learning. • Internet of Things (IOT).
• 5G Mobile Communication.
• Vehicular Ad-hoc Networks (VANET).
• Reliable Cooperative Networks.
• Automatic image processing.
• Intelligent agents / multi-agent systems.
• Evolutionary computing.
• Swarm intelligence.
• Parallel and distributed computing in computational intelligence.
• Advanced spectrum sensing topics.
• Network Design, Optimization and Management.
• Cloud Computing (IaaS, PaaS, and SaaS).
• Wireless, Cellular and Mobile Communications.
• Real Time Communication Services.
• Cloud based mobile networks.
• Artificial Intelligent Systems applications in Computers and Communications.
• Vehicle-to-everything (V2X) wireless.
• Backscatter networking.
• Software-defined WAN.
Succinct keywords which reflect the key themes of the collection
(ii) Mobile networks,
(iii) Wireless communication,
(iv) Computational intelligence,
(v) Cloud computing,
(vi) Industry 4.0,
(vii) Data visualization.
Prospective authors are invited to submit their papers following the instructions provided on the Mathematical Modelling of Engineering Problems (MMEP) website. The submitted manuscripts should not have been previously published, nor should they be currently under consideration for publication elsewhere.
Dr. Durgesh Nandan, Symbiosis Institute of Technology, Symbiosis International (Deemed Uni-versity), Pune, India.
Dr. Ashish Bagwari, Head of the Department, Electronics and Communication Engineering, Women Institute of Technology, Uttarakhand Technical University, Dehradun, Uttarakhand, India.
Dr. Mohammad Kamrul Hasan, Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.
Dr. Ciro Rodríguez, Professor, National University Mayor de San Marcos, Lima, Peru.
• Manuscript submissions due 2023-06-30
• Revised manuscripts due 2023-11-30
• Final manuscripts due 2023-12-30