About This Volume
Advances in Computer Science (Volume 2) is a comprehensive collection of contemporary research, innovations, and emerging trends that continue to shape the rapidly evolving field of computer science. This volume brings together diverse perspectives on modern technologies, methodologies, and applications, providing valuable insights for researchers, academicians, professionals, and students.
The book explores a broad range of areas, including artificial intelligence, deep learning, data science, cloud computing, Internet of Things (IoT), cybersecurity, blockchain, computer networks, software engineering, and intelligent computing systems. Each chapter presents research-based knowledge, innovative approaches, and practical applications that address current challenges in computing and technology.
With a strong emphasis on emerging developments and real-world relevance, the volume connects theoretical concepts with practical solutions and interdisciplinary applications. It highlights how modern computational techniques are being used to improve processes, solve complex problems, and support innovation across various sectors.
Advances in Computer Science (Volume 2) serves as a valuable reference for postgraduate students, researchers, educators, and technology professionals seeking to expand their understanding of contemporary computer science.
Objective
To present current research, emerging technologies, and innovative approaches in computer science, providing researchers, students, and professionals with a reliable academic resource for knowledge, application, and future research.
Target Audience
This volume is intended for postgraduate students, research scholars, academicians, educators, software professionals, engineers, technology practitioners, and industry researchers working in computer science and related disciplines. It is particularly valuable for readers interested in emerging technologies, computational methods, artificial intelligence, data-driven systems, cybersecurity, software engineering, and intelligent computing. Researchers can use the volume to explore recent developments, identify research challenges, and develop new ideas for future investigation. Educators and students may use the chapters as supplementary academic material, while professionals can benefit from practical insights into modern computing applications. The volume also welcomes interdisciplinary researchers applying computational techniques to solve problems in science, engineering, business, and other domains.
Recommended Topics
Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Computer Vision, Natural Language Processing, Cybersecurity, Information Security, Cloud Computing, Edge Computing, Internet of Things (IoT), Blockchain, Computer Networks, Software Engineering, Database Systems, Web Technologies, Mobile Computing, Robotics, Neural Networks, Intelligent Systems, Computational Intelligence, Pattern Recognition, Human-Computer Interaction, Distributed Computing, Algorithms, Predictive Analytics, Automation, Emerging Technologies, and interdisciplinary applications of computer science.
Submission Procedure
Prepare Your Chapter: Prepare an original, unpublished chapter relevant to the volume's scope and recommended topics.
Submit Your Chapter: Submit the completed manuscript through the designated submission process.
Editorial & Academic Review: Each submitted chapter will undergo editorial screening and academic review.
Revision & Final Submission
Authors of accepted chapters will be informed about required revisions and final submission.
Publication: Approved chapters will be included.
Important Dates
- 05 September 2026: Proposal Submission Deadline
- 30 October 2026: Notification of Acceptance
- 15 September 2026: Full Chapter Submission
Subject Areas
ARTIFICIAL INTELLIGENCE
/MACHINE LEARNING
/DEEP LEARNING
/DATA SCIENCE
/BIG DATA
/COMPUTER SCIENCE
/CYBERSECURITY
/CLOUD COMPUTING
/INTERNET OF THINGS
/IOT
/BLOCKCHAIN
/COMPUTER NETWORKS
/SOFTWARE ENGINEERING
/DATA ANALYTICS
/NATURAL LANGUAGE PROCESSING
/COMPUTER VISION
/INTELLIGENT SYSTEMS
/NEURAL NETWORKS
/PREDICTIVE ANALYTICS
/INFORMATION TECHNOLOGY
/DISTRIBUTED COMPUTING
/EDGE COMPUTING
About the Publisher
AG Volumes, an imprint of AG Publishing House, publishes high-quality academic books and edited volumes, supporting researchers with professional editorial and publishing services.