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Recent Advances in Computer Science and Communications

Scopus Cite Score: 3.0

Indexed in: EI Compendex, Scopus, Cabell's Directory/Journalytics

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Aims and Scope:

Recent Advances in Computer Science and Communications publishes full-length/mini reviews, research articles and guest edited thematic issues reporting theoretical and experimental advances as well asrecent patents in all areas of computer science and communications. A selection of important and recent patents on computer science is also included in the journal. The journal is essential reading for all researchers involved in computer science and in the general areas of communications. Topics of interest include but are not limited to computer graphics, artificial intelligence, cybernetics, hardware architectures, software, modulation, signal design, and detection, information theory with application to communications, cognitive radio, physical layer security, cross-layer design and networking, current and future communication systems such as 4G, 5G, WiFi, etc. The journal also covers recent research (where patents have been registered) in fast emerging computation methods, bioinformatics, medical informatics, theory and methods involved and related to computer science and communications.

Editor-in-Chief:

Zhouchao Wei School of Mathematics and Physics
China University of Geosciences
Wuhan
China

ISSN: 2666-2558 (Print)

eISSN: 2666-2566 (Online)

Special Issues With Active Call for Papers

Submission closes on: Jan 07, 2027

AI-Driven Resilience for Sustainable Development: Machine Learning for Sustainable Healthcare and Agricultural Systems

This book, AI-Driven Resilience for Sustainable Development: Machine Learning for Sustainable Healthcare and Agricultural Systems, explores how artificial intelligence can serve as a catalyst for achieving global sustainability goals. As the world confronts intertwined challenges such as climate change, healthcare disparity, and environmental degradation, the integration of AI offers innovative pathways for resilience and efficiency. The book bridges the gap between advanced AI applications and real-world sustainability by presenting practical, data-driven solutions across healthcare and... see more

Guest Editor(s): Dr. Biplab Kanti Das
Co-Guest Editor(s): Dr. Debashis De,Dr. Himadri Sekhar Dutta,Dr. Krishna Kumar Jha,Dr. Bikromadittya Mondal,Dr. Nihar Ranjan

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Submission closes on: Nov 06, 2026

Intelligent Automation and Intelligent Computing Techniques for Emerging Applications

Intelligent Automation, Intelligent Computing Techniques and Deep Learning are offering practical tools for many engineering applications and real life applications. Computer learning, artificial intelligence and its learning, adaptation paradigms are able to improve engineering applications. This decade is really about adding intelligence to different devices, services, etc. We have been confronted with a new IoT-The intelligence of things. It means that AI/IoT will in the near future logically and effortlessly interrelate with human experts and... see more

Guest Editor(s): Dr. Nitish Pathak
Co-Guest Editor(s): Dr. Neelam Sharma

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Submission closes on: Oct 10, 2026

Applications of Smart Computing in Engineering and Technology

The thematic issue titled Applications of Smart Computing in Engineering and Technology is envisioned as a comprehensive platform to explore the integration of advanced computing technologies across diverse engineering and scientific fields. Smart computing refers to the use of intelligent systems, artificial intelligence (AI), machine learning (ML), data-driven models, and Internet of Things (IoT) frameworks to design solutions that are adaptive, self-learning, and sustainable. With the rapid growth of digital transformation and Industry 4.0, smart... see more

Guest Editor(s): Dr. Avali Banerjee
Co-Guest Editor(s): Dr. Kaushik Roy,Dr. Surajit Basak,Dr. Tien Tran

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Submission closes on: Aug 27, 2026

Innovative Technologies Shaping the Future of Communication Systems

The continuous evolution of communication systems is being driven by groundbreaking innovations across multiple domains of computer science and communications. As the demand for faster, more reliable, and secure systems increases, new technologies are emerging to meet these needs. These technologies not only promise to enhance traditional communication networks but also pave the way for entirely new paradigms in data transmission, connectivity, and security. This special issue, titled "Innovative Technologies Shaping the Future of Communication... see more

Guest Editor(s): Dr. Inam Ullah
Co-Guest Editor(s): Dr. Hazrat Bilal,Dr. James Ansere,Dr. Rahim Khan,Dr. Deepak Adhikar

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Submission closes on: Aug 20, 2026

Emerging Trends in Communication and Computational Techniques

The thematic issue on "Emerging trends in Communication and Computational Techniques" serves as a focused forum for researchers and practitioners to present novel ideas, advancements, and applications in the rapidly evolving domains of electronics and computation. This issue invites contributions highlighting recent trends in the design and development of electronic devices, engineering computation, sensor networking, and adaptive technologies. It will also encompass research in communication systems, networking and broadcast technologies, as well as components, circuits,... see more

Guest Editor(s): Dr. Anurima Majumdar
Co-Guest Editor(s): Dr. Sunipa Roy,Mr. Sutanu Chatterjee,Dr. Antara Ghosal

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Submission closes on: Aug 20, 2026

Machine Learning for Cloud-Edge Emerging Network Architectures: Theories, Foundations, Applications and Challenges

Machine learning offered solution to problems by teaching the machine to learn instead of the conventional programming. Machine learning has been delivering promising solutions to the cloud computing environment in real world scenario. The challenges of the traditional cloud computing platforms such as but not limited to: low communication latency, energy consumption, geographical separation of the user devices and cloud data centres, low quality of service and low quality of experience triggered by the traditional... see more

Guest Editor(s): Dr. Xu Zheng
Co-Guest Editor(s): Dr. Jemal Abawajy

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Submission closes on: Jul 31, 2026

"Al-Enabled Robotics for Healthcare and Assistive Technologies"

The fusion of Artificial Intelligence (AI) and robotics is revolutionizing the healthcare and assistive technology landscape, offering transformative solutions for patient care, diagnosis, rehabilitation, and support for individuals with disabilities or age-related challenges. This special issue aims to explore the latest advances, challenges, and future prospects in AI-driven robotic systems specifically designed for healthcare and assistive purposes. This thematic issue will serve as a platform for researchers, engineers, clinicians, and industry professionals to present novel... see more

Guest Editor(s): Prabhdeep Singh
Co-Guest Editor(s): Dr. Kiran Deep Singh,Dr. Aryan Chaudhary

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Submission closes on: Jul 26, 2026

Next-Generation Intelligent Healthcare: Deep Learning, Digital Twins, and AI-Powered Clinical Innovations

Artificial Intelligence (AI) and advanced computational models are increasingly becoming the cornerstone of innovation in clinical care and healthcare systems. This special issue titled " Next-Generation Intelligent Healthcare: Deep Learning, Digital Twins, and AI-Powered Clinical Innovations" aims to explore the transformative role of intelligent technologies such as deep learning, digital twins, and AI-driven platforms in reshaping diagnostics, treatment planning, remote monitoring, and patient-centric healthcare delivery. By bringing together interdisciplinary perspectives from academia, industry, and clinical... see more

Guest Editor(s): Dr. Gaurav Dhiman
Co-Guest Editor(s): Dr. Manish Dixit,Dr. Kirti Raj Bhatele,Dr. Kusum Yadav

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Submission closes on: Jul 03, 2026

Secure and Scalable AI in Edge-Cloud Collaborative Environments

As the digital world becomes increasingly interconnected, the convergence of Artificial Intelligence (AI) with edge and cloud computing systems has become a necessity. Edge-Cloud collaborative systems are now at the heart of intelligent applications requiring low latency, high computational performance, and reliable decision-making. These include smart transportation, industrial automation, remote healthcare, and next-generation communication systems. However, current AI models often struggle to meet the diverse demands of edge-cloud systems, especially when considering limited computational resources,... see more

Guest Editor(s): Dr. Muhammad Sulaiman
Co-Guest Editor(s): Dr. Rahim Khan,Dr. Zardad Khan,Dr. Maharani Abu Bakar

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Submission closes on: Jun 30, 2026

Explainable Artificial Intelligence for Next-Generation Communication Systems

Explainable Artificial Intelligence (XAI) is poised to transform future communication systems, particularly as networks evolve towards 6G and beyond. By enhancing transparency and interpretability, XAI can foster trust in AI-driven decision-making processes, which is crucial for applications in wireless communication, resource allocation, and network optimization. XAI is more important in communication systems that use trust and transparency. It addresses the opacity of AI models, ensuring users understand the rationale behind decisions, which is vital for... see more

Guest Editor(s): Dr. Siddhartha Bhattacharyya
Co-Guest Editor(s): Dr. Jyoti Sekhar Banerjee,Dr. Debashis De,Dr. Pijush Dutta,Dr. Panagiotis Sarigiannidis,Dr. Ahmed J. Obaid,Dr. Mohamed Lahby

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Submission closes on: Jun 25, 2026

Emerging Paradigms in Artificial Intelligence and Next-Generation Computational Technologies

This Special Issue seeks to highlight the most innovative developments and disruptive research directions in the realm of Artificial Intelligence (AI) and its integration with rapidly evolving computational technologies. As AI continues to redefine the boundaries of machine perception, reasoning, and autonomous decision-making, there is a growing demand to explore its convergence with cutting-edge technologies such as quantum computing, neuromorphic architectures, 6G communication, edge intelligence, and explainable AI systems. The goal of this issue is... see more

Guest Editor(s): Dr. Prabhishek Singh
Co-Guest Editor(s): Dr. Manoj Diwakar

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Submission closes on: Jun 12, 2026

Recent Trends in Machine Intelligence and Smart Systems

This special issue aims to provide a forum for academic researchers to share research progresses and discuss emerging topics and future directions in the field of Machine intelligence and smart systems. Equally important, this special issue intends to demonstrate successful case studies, identify challenges and bridge the gap between theory and practice in applying computational intelligence to solving all kinds of real-world problems. Since Machine Intelligence is a truly interdisciplinary field, Scientists, Engineers, Academicians, Technology... see more

Guest Editor(s): Dr. Manish Gupta
Co-Guest Editor(s): Dr. Dac-Nhuong Le,Dr. Tolga Ensari,Dr. Javed Ali Khan,Dr. Anshul Verma,Dr. Vibhav Singh

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Submission closes on: Jun 12, 2026

Emerging Trends in Industrial Cyber-Physical Systems: Control, Filtering, and Optimization Using Machine Learning

Several sensors and actuators are integrated and networked to enable real-time distributed monitoring and control in massive, geographically distributed industrial cyber-physical systems (ICPSs). Nevertheless, the inherent dispersive features of the geographic region, which address the pressing need for distributed sensing, control, and optimization, present formidable obstacles to ensuring the intended system performance. To achieve desired intelligent requirements, this Special Issue seeks to further research activities in distributed sensing, computing, estimation, optimization, and control and advance... see more

Guest Editor(s): Dr. Rajesh Kumar
Co-Guest Editor(s): Dr. Rajesh Kumar

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Submission closes on: May 29, 2026

AI-driven autonomous network management and optimization

AI-driven autonomous network management and optimization have become essential in modern networking systems due to the increasing complexity and demand for more dynamic, adaptive, and scalable solutions. Traditional network management approaches struggle to cope with the exponential growth of connected devices, bandwidth consumption, and the rise of technologies such as 5G, IoT, and cloud computing. AI offers a transformative solution by enabling networks to self-manage, self-heal, and self-optimize in real-time, drastically reducing manual intervention and... see more

Guest Editor(s): Dr. Rutvij Jhaveri
Co-Guest Editor(s): Dr. Kranthi Singamaneni

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Submission closes on: Apr 24, 2026

Advanced Applications of Artificial Intelligence in Manufacturing Engineering and Technologies

Automation, intelligent development, and increased productivity are all goals of the industrial sector that can only be achieved with the help of artificial intelligence technologies. The application of AI in a variety of manufacturing applications, including additive manufacturing, casting, joining, welding, friction stir processing, machining, non-traditional machining techniques, and coating techniques (such as thermal spray, cold sprays, and electrochemical deposition), will be the emphasis of this special issue. Inspecting, monitoring, predicting, controlling, and diagnosing manufacturing... see more

Guest Editor(s): Dr. Jashanpreet Singh
Co-Guest Editor(s): Dr. Satish Kumar,Dr. Manpreet Singh,Dr. Agus Saptoro

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Submission closes on: Mar 21, 2026

Advances in Collaborative Artificial Intelligence for Medical Imaging, Bioinformatics, and Computational Biology

Medical image evaluation and bioinformatics and computational biology processes become more efficient with the help of artificial intelligence systems in healthcare and life sciences. Advanced biological data requires innovative AI solutions to merge scalability with collaboration for developing reliable and efficient vital applications. The emerging field of Collaborative AI solves important medical matters by combining multiple AI agents and distributed learning approaches with interfield research projects during research and clinical operations. Researchers work together with... see more

Guest Editor(s): Dr. Raviraj P.
Co-Guest Editor(s): Dr. Jingshan Huang,Dr. Maode Ma

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Submission closes on: Mar 13, 2026

Artificial Intelligence and Mathematical Modeling in Engineering Applications

When it comes to solving complicated engineering challenges, mathematical modeling is essential. The effectiveness of these approaches to difficult problems is increased by the growing number of automated procedures and the latest advancements in artificial intelligence. The main goal of this special issue is to highlight new developments in the representation and evaluation of cutting-edge computational methods intended to solve current scientific or technical problems. Please note that articles exclusively using established methods or dealing... see more

Guest Editor(s): Dr. Rajesh Kumar
Co-Guest Editor(s): Prof. Smriti Srivastava,Dr. Rajesh Kumar,Dr. Tanvi Gupta,Dr. Maneesh Singh

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Submission closes on: Mar 05, 2026

Generative AI in Intelligent E-Learning: Transforming Personalized Education, Content Creation, and Human-AI Collaboration

Introduction: - The rapid advancement of Artificial Intelligence (AI) has significantly impacted the education sector, particularly through intelligent e-learning systems. Generative AI, powered by large language models and deep learning techniques, has the potential to revolutionize personalized education, automate content creation, and enhance human-AI collaboration in learning environments. This special issue aims to explore the latest innovations, methodologies, applications, and challenges in leveraging Generative AI for intelligent e-learning. Background: - E-learning technologies have evolved from... see more

Guest Editor(s): Dr. Pradeep Kumar Singh
Co-Guest Editor(s): Dr. Teresa A. Oliveira

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Submission closes on: Feb 27, 2026

Computational Intelligence for Sustainable Development: Principles and Paradigms

The proposed special issue will address principles and paradigms in Machine Learning & AI which can be used for renewable energy optimization, climate modeling, and smart grids. Swarm Intelligence with Nature-inspired solutions for transport and resource management. Fuzzy Systems for Decision-making under uncertainty in environmental contexts along with Evolutionary Computation with Adaptive solutions for habitat restoration and urban planning. It will also highlight the underlying domain of Hybrid Systems which combines computational techniques for complex... see more

Guest Editor(s): Dr. Charu Gupta
Co-Guest Editor(s): Dr. Prateek Agrawal,Dr. Vladislav Kashanskiy

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Submission closes on: Feb 07, 2026

AI-Driven Innovations in Computer Science and Communication Systems

Artificial Intelligence (AI) has transformed computing and communication systems, driving advancements in cybersecurity, wireless communication, IoT, and data analytics. This thematic issue explores AI-driven methodologies that enhance network optimization, intelligent automation, and secure computing environments. It builds upon discussions from the International Conference on Networked Computing and Data Analytics (ICNCDA 2025), offering a platform for researchers to present innovative solutions in AI-powered communication frameworks. Key focus areas include AI in next-generation wireless networks (5G, 6G,... see more

Guest Editor(s): Dr. Anil Kumar
Co-Guest Editor(s): Dr. Eva Tuba,Dr. Dinesh Goyal

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