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ICAI'' 2023: International Conference on Applied Intelligence

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投稿締切日:
2023-10-15 延長
通知日:
2023-10-30
開催日:
2023-12-08
開催地:
Nanning, China
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ICAI''
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論文募集

ICAI'' 2023 (International Conference on Applied Intelligence) is an academic conference held in Nanning, China on 2023-12-08. The paper submission deadline is 2023-10-15 (extended). Acceptance notifications are sent on 2023-10-30.

This is the first International Conference on Applied Intelligence, which aims to promote the research, development and application of advanced applied intelligence techniques by providing a vibrant and effective forum across a variety of disciplines. This conference has a further aim of increasing the awareness of industry of advanced applied intelligence techniques and the economic benefits that can be gained by implementing them. ICAI theme unifies the picture of contemporary applied intelligence techniques as an integral concept that highlights the trends in advanced artificial intelligence and bridges theoretical research with applications. Therefore, the theme for this conference is Advanced Applied Intelligence Methodologies and Applications. Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology. Topics covering industrial issues/applications and academic research into applied intelligence will be included, but not limited to: A. THEORIES AND ALGORITHMS A1 Evolutionary Computing and Learning A2 Genetic Algorithms A3 Swarm Intelligence and Optimization A4 Routing and Scheduling A5 Independent Component Analysis A6 Blind Source Separation A7 Compressed Sensing and Sparse Coding A8 Natural Computing A9 Quantum Computing A10 Cloud Computing A11 Explainable Artificial Intelligence A12 Emotion Artificial Intelligence A13 Neural Networks A14 Deep Learning A15 Generative Adversarial Networks (GANs) A16 Nature Inspired Computing and Optimization A17 Signal Processing A18 Pattern Recognition A19 Biometrics Recognition A20 Speech Recognition A21 Image Processing A22 Information Security A23 Virtual Reality and Human-Computer Interaction A24 Business Intelligence and Multimedia Technology A25 Human-AI Collaboration B. MODELS AND SYSTEMS B1 Rough Sets B2 Fuzzy Theory and Algorithms B3 Supervised Learning B4 Unsupervised Learning B5 Reinforcement Learning B6 Federated Learning B7 Kernel Methods and Supporting Vector Machines B8 Machine Learning B9 Data mining B10 Knowledge Discovery and Data Mining B11 Natural Language Processing and Computational Linguistics B12 Knowledge Representation and Reasoning B14 Artificial Life B15 Robotics B16 Computer Vision B17 Finance/Banking B18 Communication Networks B19 Intelligent Control and Automation B20 Intelligent Data Fusion B21 Intelligent Data Analysis & Prediction B22 Intelligent Agent and Web Applications B23 Expert Systems B24 Natural Language Generation and Understanding B25 Intelligent Document Processing C. COMPUTATIONAL SYSTEMS BIOLOGY AND MEDICAL INFORMATICS C1 Gene Expression Array Analysis C2 Gene Regulation Modeling and Analysis C3 Protein-Protein Interaction Prediction C4 Protein Structure and Function Prediction C5 Next-Gen Sequencing and Metagenomics C6 Structure Prediction and Folding C7 Analysis and Visualization of Large Biological Data Sets C8 Biomarker Discovery and Detection C9 Molecular Evolution and Phylogenetics C10 Modeling, Simulation, and Optimization of Biological Systems C11 Biomedical Data Modeling and Mining C12 Molecular Computing C13 DNA Computing C14 System Biology in AI C15 Synthetic Biology in AI C16 Neuroinformatics C17 Cheminformatics C18 Computational Biology C19 Drug Design in AI C20 Computational Genomics C21 Computational Proteomics C22 Healthcare Informatics Theory and Methods C23 Biomedical Informatics Theory and Methods C24 Personalized Healthcare C25 Medical Image Analysis D. INTELLIGENCE TECHNOLOGY AND APPLICATIONS D1 Big Data Analytics D2 Blockchain Technology D3 Industrial Automation D4 Autonomous Systems D5 Machine Learning for Cybersecurity D6 Digital Twins D7 Augmented Reality D8 Virtual Reality D9 Automatic Driving D10 Intelligent Tutoring Systems D11 Recommendation Systems D12 Explainable Recommender Systems D13 Computational Creativity D14 Intelligent Image/Document Retrievals D15 Sentiment Analysis D16 Social Media Analysis D17 Intelligent Fault Diagnosis D18 Intelligent Transportation Systems D19 Autonomous Vehicles D20 Smart Cities D21 Cognitive Computing AI for Social Good D22 AI Ethics and Governance D23 Intelligent Energy Management D24 Intelligent Agriculture D25 AI for Cybersecurity All accepted conference papers will be published by Springer Verlag, including Lecture Notes in Computer Sciences (LNCS)/Lecture Notes in Artificial Intelligence (LNAI)/Lecture Notes in Bioinformatics (LNBI)/Communications in Computer and Information Science (CCIS). All the papers published in these four volumes of Lecture Notes or CCIS will be indexed in EI Compendex, SCOPUS, and DBLP etc.. And a small number of selected high-quality papers will be extended for possible inclusion in several main-stream international journals. Fees, if any, for such Journal publications, will have to be borne by the authors.
最終更新：Dou Sun（）

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