Conference Information

ASENS 2027: International Conference on Algorithms, Software Engineering and Network Security

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ASENS
Submission Date:
2027-01-15 Due in 168 days
Notification Date:
Conference Date:
2027-03-26
Location:
Xi an, China
Years:
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Call For Papers

ASENS 2027 (International Conference on Algorithms, Software Engineering and Network Security) is an academic conference held in Xi an, China on 2027-03-26. The paper submission deadline is 2027-01-15.

The topics of interest for submission include, but are not limited to: Computational Intelligence Frontiers in Computational Intelligence and its Applications; Advances in Computational Intelligence for Optimization Challenges; Computational Intelligence in Dynamic and Uncertain Environments; Evolutionary Computation for Complex Problem Solving; Evolutionary Computation and Learning; Natural Computing; Evolutionary Dynamic Optimization Software Engineering AI for Software Engineering; Software Engineering for AI; Software Analytics; Maintenance and Evolution; Human and Social Aspects; Requirements and Modeling; Testing and Analysis; Architecture and Design; Dependability and Security; Tools and Processes Machine Learning Transfer Learning; Graph Learning; Causal Inference; Multi-view Learning; Stream Learning; Reinforcement Learning; Large Language Model; Deep Learning; Robust Learning; Online Learning; Continual Learning Cybersecurity Content-based network security; Industrial internet of things; AI-generated content security; Data security; Cryptography and its applications; Artificial intelligence security; Blockchain-based data sharing across domains; Trusted data exchange; Cyberspace security; Knowledge representation and discovery; Intelligent systems; Data security and privacy; Network attack and defense; Situation awareness Big Data Novel algorithms and techniques for data mining and big data analytics; Development, applications, and challenges of big models; Integration of machine learning and AI with big data; Data ethics, privacy, and security concerns in big models; Case studies and applications of big data across various industries; Scalability and efficiency challenges in big data systems; Visualization and interpretability of big models; The future of AI and big data in the post-digital era Computer Vision Image and Video Synthesis; Machine Learning and Deep Learning for Images and Video; Image and Video Analysis; Motion Estimation, Registration, and Fusion; Biomedical Image Processing; Computer Vision for Robotics; Augmented Reality and Virtual Reality Applications; 3D Computer Vision; Vision for Autonomous Vehicles
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