ICT Express
Scope & Guideline
Fostering Global Collaboration in Computational Sciences
Introduction
Aims and Scopes
- Advanced Communication Networks:
The journal covers research on next-generation communication networks, including 5G, 6G, and beyond, focusing on their architecture, protocols, and performance optimization. - Artificial Intelligence and Machine Learning Applications:
ICT Express publishes studies on the integration of AI and machine learning in various ICT domains, exploring their potential to enhance system performance, security, and user experience. - Internet of Things (IoT) and Smart Systems:
Research on IoT technologies, frameworks, and applications, including smart cities, healthcare, and industrial IoT, is a significant focus, reflecting the trend towards interconnected systems. - Cybersecurity and Privacy:
The journal addresses critical issues related to the security and privacy of ICT systems, including novel algorithms, frameworks, and methodologies for protecting user data. - Data Science and Big Data Analytics:
Research involving data analytics, including machine learning and statistical methods to extract insights from large datasets, is a core area of interest. - Blockchain and Distributed Ledger Technologies:
Studies on blockchain applications, security, and performance, particularly in relation to IoT, healthcare, and finance, are increasingly prominent in the journal. - Wireless Communications and Signal Processing:
The journal features research on novel algorithms and techniques for signal processing in wireless environments, including massive MIMO, cognitive radio, and beamforming. - Emerging Technologies and Applications:
ICT Express aims to explore emerging technologies such as quantum computing, edge computing, and their implications for future ICT applications.
Trending and Emerging
- Federated Learning and Privacy-Preserving Technologies:
There is a growing interest in federated learning and methods to ensure data privacy in distributed systems, particularly in the context of IoT and healthcare applications. - Semantic Communications:
Emerging research on semantic communication networks highlights the importance of understanding the meaning of transmitted information, which is becoming increasingly relevant in the context of AI and data-centric applications. - Intelligent Reflecting Surfaces (IRS) and Their Applications:
Research into IRS technologies is gaining traction, as they promise to enhance wireless communication performance and energy efficiency in future networks. - Quantum Computing and Communications:
The exploration of quantum technologies and their applications in ICT is on the rise, signaling a shift towards next-generation computing paradigms. - Integration of AI in Cybersecurity:
The application of AI techniques to enhance cybersecurity measures is becoming a focal point, addressing the growing need for intelligent threat detection and response. - Smart and Sustainable Cities:
Research focusing on the role of ICT in developing smart and sustainable urban environments is trending, reflecting global priorities in urban development and sustainability. - Edge and Cloud Computing Convergence:
The convergence of edge and cloud computing is increasingly explored, as it addresses latency issues and enhances the processing capabilities of IoT systems.
Declining or Waning
- Traditional Networking Protocols:
Research focusing solely on conventional networking protocols appears to be waning, as the field shifts towards more complex and adaptive technologies that integrate AI and machine learning. - Basic Machine Learning Techniques:
There is a noticeable decline in papers solely focused on traditional machine learning methods, as researchers now prefer to explore hybrid approaches or advanced deep learning techniques. - Theoretical Studies without Practical Applications:
Papers that are heavily theoretical in nature, lacking practical applications or real-world implications, are becoming less common, with a shift towards applied research. - Legacy Systems and Technologies:
Research centered on outdated technologies or legacy systems is diminishing, reflecting a broader industry trend towards modernization and innovation.
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