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ICoMS 2026: International Conference on Mathematics and Statistics

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截稿日期:
2026-06-05
通知日期:
2026-06-25
会议日期:
2026-09-11
会议地点:
Paris, France
浏览: 990   关注: 0   参加: 0

会伴指数 (CP-I)

44.1 / 100
全站第 3,187 名 / 共 5,687 个会议 · 前 57%

数学与自然科学 第 22 / 69

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
13
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：5 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-25

征稿

ICoMS 2026 (International Conference on Mathematics and Statistics) is an academic conference held in Paris, France on 2026-09-11. The paper submission deadline is 2026-06-05. Acceptance notifications are sent on 2026-06-25.

The 9th International Conference on Mathematics and Statistics, ICoMS 2026 is a major annual international conference which aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all interdisciplinary areas of Mathematics and Statistics to share their experience, and exchange and cross-fertilize their ideas. ICoMS 2026 conference theme: "Mathematics & Statistics: The Computational Heart of Artificial Intelligence---from Data to Decisions–Bridging Theory and Algorithms in the Era of Intelligent Systems". Original papers are solicited in topics including, but not limited to the following: Data Science and Machine Learning ●Mathematical Foundations of Machine Learning Algorithms ●Deep Learning Techniques in Statistics and Data Science ●Statistical Learning and Pattern Recognition ● Data Mining and Big Data Analytics in Statistics ● Predictive Analytics: Statistical Approaches and Applications Computational Mathematics and Numerical Analysis ●High-Performance Computing for Mathematical Simulations ●Numerical Methods for Solving Partial Differential Equations ●Scientific Computing in Mathematical and Statistical Applications ●Computational Algebraic Geometry and Applications ●Monte Carlo and Markov Chain Methods in Numerical Analysis Applied Mathematics and Interdisciplinary Applications ●Mathematical Biology: Modeling in Population Dynamics and Epidemiology ●Mathematical Finance and Risk Management Models ●Computational Fluid Dynamics and Mathematical Models in Physics ●Cryptography, Information Security, and Mathematical Foundations ●Mathematical Methods in Environmental and Climate Studies Probability Theory and Stochastic Processes ●Advances in Probability Theory and Stochastic Models ●Applications of Stochastic Processes in Finance and Insurance ●Random Walks and Their Applications in Physics and Biology ●Markov Chains and Their Use in Statistical Modeling ●Queueing Theory and its Applications in Network Systems Time Series Analysis and Forecasting ●Time Series Models for Economic and Financial Forecasting ●Statistical Methods for Forecasting with Big Data ●Econometrics and Statistical Modelling of Time Series Data ●Advanced Techniques in Seasonal Adjustment and Trend Analysis ●Statistical Analysis of Multivariate and Non-Stationary Time Series Mathematical Modeling and Optimization ●Advanced Mathematical Modeling in Engineering and Sciences ●Optimization Algorithms and Applications in Real-World Problems ●Nonlinear Dynamics and Chaos Theory in Complex Systems ●Multi-Objective Optimization and Decision-Making Techniques ●Computational Methods in Mathematical Programming Statistical Analysis and Inference ●Modern Techniques in Statistical Inference and Estimation ●Bayesian Methods and Applications in Statistics ●Multivariate Analysis and High-Dimensional Data ●Robust Statistical Methods for Outliers and Incomplete Data ●Hypothesis Testing and Statistical Decision Theory
由 Dou Sun 最后更新于

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