CVCNCE 2025 welcomes full-length original research submissions from science and engineering professionals from enterprises, R&D firms, academic institutions, government departments, and research scholars around the globe. The manuscript should include unique research ideas, development concepts, analysis, findings, and results. Full-length original research contributions and review articles, no more than 5 pages in length written in English.The conference will cover a wide range of topics related to the core themes of computer science, computation, and communication.
Peer Review Process
CVCNCE 2025 will maintain a rigorous peer review process to ensure the quality, originality, and relevance of the accepted submissions. The process is as follows:
a) Initial Screening: The plagiarism detection software Turnitin will initially screen all the submitted manuscripts. Only the paper that passes the accepted limit of the similarity index will be forwarded for review. The accepted similarity percentage for this conference is 15% (including references/bibliography and all other sources). The paper has to be checked for similarity index with a word count less than 3 in the setting). If any paper is found to have a high similarity index, then the accepted limit mentioned above will be outright rejected without sending it out for review. Also, if the paper is found to be plagiarized at any stage during or after publication, it will be retracted immediately.
b) Assignment to Reviewers: Manuscripts that pass the initial screening will be assigned to a minimum of three reviewers with expertise in the relevant fields. Reviewers are selected from the Program Committee and external subject-matter experts to ensure a balanced and unbiased evaluation.
c) Single Blind Peer Review: CVCNCE 2025 will follow a single-blind peer review process. Reviewers will evaluate the manuscript based on: Originality and significance of the research; Technical quality and soundness; Relevance to conference themes; Clarity and organization of the presentation ; Contribution to the field .
d) Reviewer Feedback: Reviewers provide detailed comments, suggestions, and recommendations (accept, minor revisions, major revisions, or reject). Authors receive this feedback to improve their work as necessary.
e) Decision Making : Based on the reviewers’ recommendations and comments, the Program Chairs will make the final decision on acceptance, revision, or rejection of each manuscript. In cases of conflicting reviews, a third reviewer or the Program Chairs may provide additional input.
f) Revision and Resubmission : If revisions are required, authors must submit the revised manuscript within the given timeline. Revised submissions are reviewed to ensure all concerns raised by the reviewers have been adequately addressed.
g) Final Acceptance and Notification: Accepted manuscripts are notified to the authors, and the final version is requested for inclusion in the conference proceedings. Authors must ensure compliance with formatting and copyright guidelines.
This rigorous peer review process ensures that CVCNCE 2025 maintains high standards of academic integrity and contributes significantly to the advancement of research in these critical fields.
Papers can be submitted to any of the following track
Track 1: Computer Vision
Artificial Intelligence |
Machine Learning |
Cutting-edge research in AI algorithms |
Neural Networks |
Deep learning |
Natural language processing and reinforcement learning |
Techniques for handling large-scale datasets |
Data mining, Predictive Analytics, and Data Visualisation |
Innovations in cloud infrastructure, cloud services, edge computing applications, and distributed computing |
AI in health care, Image Processing, Pattern Recognition, Signal Processing, Medical Imaging, Satellite image Analysis, Remore Sensing and Image Analysis |
Track 2: Communication System
Topics on wireless communication, network protocols, 5G/6G networks, IoT, and network optimization, computer networks |
Antenna Engineering |
Waveguide and Filter design |
Microwave Compatibility |
Electromagnetic Interference |
Body Area Networks |
Network Control & Management |
Disaster Recovery of Networks |
Cognitive Communications |
Wireless Sensor Networks |
LTE and 5G Networks |
Wireless and Mobile Networks |
Ad hoc and Mesh Networks |
Track 3: Computational Intelligence
Robotics |
Autonomous navigation Theoretical and applied research in quantum computing |
Quantum algorithms, and their implications for the future of computation |
Semiconductor Devices, SoC, Low and High Power VLSI |
Neural Networks |
Fuzzy Systems |
Evolutionary Computation |
Swarm Intelligence |
Reinforcement Learning |
Nature-Inspired Algorithms |
Machine Learning |
Cognitive Computing |
Data Mining and Knowledge Discovery |