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WSAI 2026: World Symposium on Artificial Intelligence

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WSAI
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截稿日期:
2026-05-10 Extended
通知日期:
2026-05-25
会议日期:
2026-06-24
会议地点:
Jinan, China
届数:
7
浏览: 15070   关注: 2   参加: 1

会伴指数 (CP-I)

46.7 / 100
全站第 2,386 名 / 共 5,687 个会议 · 前 42%

人工智能与机器学习 第 260 / 741

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%)
56
社区关注 (10%)
27
资料公开度 (15%)
35

用到的输入: 有据可查的届次：7 · 在会伴关注它的研究者：2 人 · 过去 24 个月打开过本页的研究者：8 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 45% —— 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 2026-09-29

征稿

WSAI 2026 (World Symposium on Artificial Intelligence) is an academic conference held in Jinan, China on 2026-06-24. The paper submission deadline is 2026-05-10 (extended). Acceptance notifications are sent on 2026-05-25.

Topics of interest include, but are not limited to Track 1. Robotics & Intelligent Systems - Science and Engineering & Control - Artificial Neural Networks in robotics or automation - Adaptive systems - Embedded Systems - Fault Diagnosis - Human - Machine Interfaces - Virtual Reality - Multi - Agent Collaborative Systems (MACS) - Space and Underwater Robotics - Simulation and Modeling of Robotic Systems - Data Mining and Machine Learning - Natural Language Processing - Fuzzy Logic and Soft Computing - Expert Systems - Decision Support Systems - Software Tools for AI Track 2. Bioinformatics - Bio - robotics and Bio - mechatronics - Genetic Algorithms - Data Mining in Pattern Recognition - DNA Computing for Autonomous Agents - Biometrics Security - Artificial Intelligence in Bio - systems - Computer Assisted Intervention Systems - BioMedical Signal/Image Analysis - Intelligent Methods for Analysis of Microarrays Track 3. Machine Learning & Deep Learning - Unsupervised Learning - Supervised Learning - Reinforcement Learning - Deep Neural Network Architectures - Model Compression and Optimization - Explainable AI in Machine Learning and Deep Learning - Transfer Learning - Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) Track 4. Natural Language Processing & Generative AI - Text Classification - Named Entity Recognition (NER) - Machine Translation - Question - Answering Systems - Text Summarization - Language Model Pretraining and Fine - Tuning - Generative Text Generation - Multimodal Natural Language Processing - Ethical and Social Implications of Generative AI in NLP Track 5. AI for Computer Systems & Edge Computing - AI - Driven Resource Allocation in Computer Systems - Edge AI Model Deployment and Optimization - Edge Computing for Real - Time AI Applications - AI - Enhanced Network Management in Edge Computing - Federated Learning in Edge Computing - Security and Privacy in AI - Enabled Edge Computing - Edge Computing for Internet of Things (IoT) with AI - Energy - Efficient AI in Edge Computing Track 6. AI for Finance & Autonomous Systems - Algorithmic Trading and Investment Strategies - Credit Risk Assessment with AI - Insurance Underwriting and Risk Management with AI - Autonomous Vehicles and AI - Driven Transportation - Unmanned Aerial Vehicles (UAVs) and AI - Enabled Drone Operations - Autonomous Marine Systems and AI - Regulatory and Ethical Challenges of AI in Finance and Autonomous Systems - AI - Based Monitoring and Control in Autonomous Industrial Systems
由 Dunn Carl 最后更新于

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相关期刊

CCF全称影响因子出版商ISSN
International Journal on Artificial Intelligence Tools1.0World Scientific0218-2130
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AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
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CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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