2025 International Conference on Computer Information Science, Advanced Algorithms, and Neural Networks (CISAANN 2025)

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2025 International Conference on Computer Information Science, Advanced Algorithms, and Neural Networks (CISAANN 2025)

IMPORTANT DATES

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Submission Deadline

2025-09-25

Registration Deadline

2025-10-02

Conference Date

2025-10-17

Notification Date

About a week after the submission

-Submission Portal-

If you have any questions or need any help about the conference, please feel free to contact our conference experts on the right:

周老师 |

TEL:19330520624 (微信同号) |

QQ:1429267914 |

E-mail:cisaann@sub-paper.com |

CALL FOR PAPERS

Scopes

Automated software engineering Bioinformatics and Scientific Computing Computer Science and Engineering Computer-aided design/manufacturing Database and data mining data compression data encryption data mining Digital signal and image processing Digital Systems and Logic Design expert system Geographic Information System (GIS) image processing information system mobility Multimedia network Mobile wireless network Network security and cryptography programming language Signal detection and estimation wireless communication Wireless sensor network Evolutionary computation and learning Natural Computation genetic algorithm Design and analysis of geometric algorithms Graphics algorithms and graphics rendering High-performance computing and processing High-performance data mining algorithm Fuzzy theory and algorithm Natural Language Processing Parallel and Distributed Algorithms and Data Structures Intelligent data fusion numerical analysis sorting algorithm Pseudo-random number generator Algorithm and data structure Evolutionary computation and learning genetic algorithm Natural Computation quantum computing randomized algorithm Approximation algorithm combinatorial optimization sorting algorithm Computability theory Advanced numerical algorithms Parallel and distributed algorithms Graphics rendering and graphics algorithms Deep neural network Convolutional Neural Network Generative Adversarial Network Recurrent neural network Neural network structure Neural symbolic hybrid model Interpretability and visualization methods of neural networks聽