Special Issue "Recent Advances in Intelligent Systems and Communication"

Submission Deadline: 10 November 2020 (closed)
Guest Editors
Dr. Vikash Yadav, ABES Engineering College, India
Dr. Anil Kumar Dubey, ABES Engineering College, India
Mr. Harivans Pratap Singh, ABES Engineering College, India
Dr. Gaurav Dubey, ABES Engineering College, India

Summary

This special issue will aim to discuss computational intelligence approaches, initiatives and applications in engineering and science fields (including Machine Intelligence, Mining Engineering, Modeling and Simulation, Computer, Communication, Networking and Information Engineering, Systems Engineering, Innovative Computing Systems, Adaptive Technologies for Sustainable Growth, and Theoretical and Applied Sciences). This collection should inspire various scholars to contribute research on intelligence principles and approaches in their respective research communities, while enriching the body of research on computational intelligence.


Keywords
• Computational Intelligence
• Foundations and principles
• Neural networks
• Fuzzy systems
• Evolutionary computation
• Applications of Computational Intelligence in
• Machine Intelligence
• Mining Engineering
• Modeling and Simulation
• Signal Processing
• Computer, Communication, Networking and Information Engineering
• Innovative Computing Systems
• Adaptive Technologies for Sustainable Growth
• Theoretical and Applied Sciences

Published Papers
  • Optimizing Service Composition (SC) Using Smart Multistage Forward Search (SMFS)
  • Abstract

    Service Oriented Architecture (SOA) is a style of software design where Web Services (WS) provide services to the other components through a communication protocol over a network. WS components are managed, updated, and rearranged at runtime to provide the business processes as SCs, which consist of a set of WSs that can be invoked in a specific order to fulfill the clients’ requests. According to the Service Level Agreement (SLA) requirements, WS selection and composition are significant perspectives of research to meet the clients’ expectations. This paper presents an effective technique using SMFS that attempts to improve the WS selection… More

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  • PTS-PAPR Reduction Technique for 5G Advanced Waveforms Using BFO Algorithm
  • Abstract Non-orthogonal multiple access (NOMA) will play an imperative part in an advanced 5G radio arrangement, owing to its numerous benefits such as improved spectrum adeptness, fast data rate, truncated spectrum leakage, and, so on. So far, NOMA undergoes from peak to average power ratio (PAPR) problem, which shrinks the throughput of the scheme. In this article, we propose a hybrid method, centered on the combination of advanced Partial transmission sequence (PTS), Selective mapping (SLM), and bacteria foraging optimization (BFO), known as PTS-BFO and SLM-PTS. PTS and SLM are utilized at the sender side and divide the NOMA into several sub-blocks.… More
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