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    PRA 2023 - 2023 5th Workshop on Pattern Recognition Applications (PRA 2023)

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    Website https://www.pra2023.org/ | Want to Edit it Edit Freely

    Category AI; Data; Image processing

    Deadline: January 30, 2023 | Date: July 28, 2023-July 30, 2023

    Venue/Country: Shenyang, China

    Updated: 2022-12-16 12:17:34 (GMT+9)

    Call For Papers - CFP

    CFP

    2023 5th Workshop on Pattern Recognition Applications (PRA 2023)

    July 28-30, 2023 | Wuhan, China

    https://www.pra2023.org/

    2023 5th Workshop on Pattern Recognition Applications (PRA 2023) is organized by Asia Pacific Institute of Science and Engineering(APISE), which will be held in Shenyang, China during July 28-30, 2023. PRA 2023 is a not-to-be-missed opportunity that distills the most current knowledge on a rapidly advancing discipline in one conference. Join key researchers and established professionals in the field of Pattern Recognition Applications as they assess the current state-of-the-art and roadmap crucial areas for future research.

    ●Publication & Indexing

    PRA 2023 is the workshop of PRIS 2023. 1, All the registered and presented papers will be included in the volume of ACM International Conference Proceedings Series (ISBN: 978-1-4503-9996-8). The publisher will submit articles to EI Compendex, Scopus, Web of Science and other databases for review and indexing after publication. Selected papers with great extension will be recommended to publish on international journal.

    2, Selected papers with great extension will be recommended to publish in international journal.

    PRIS 2021/2020 conference proceeding has been indexed by EI Compendex!

    ●Speakers

    Prof. Nick Freris

    Senior Member of ACM and IEEE

    University of Science and Technology of China, China

    Nick Freris is Professor in the School of Computer Science at USTC, and Vice Dean of the International College. He received the Diploma in Electrical and Computer Engineering from the National Technical University of Athens (NTUA), Greece, in 2005, and the M.S. degree in Electrical and Computer Engineering, the M.S. degree in Mathematics, and the Ph.D. degree in Electrical and Computer Engineering all from the University of Illinois at Urbana-Champaign (UIUC) in 2007, 2008, and 2010, respectively.

    His research lies in AIoT/CPS/IoT: machine learning, distributed optimization, data mining, wireless networks, control, and signal processing, with applications in power systems, sensor networks, transportation, cyber security, and robotics.

    Prof. Philippe Fournier-Viger

    Shenzhen University, China

    Philippe Fournier-Viger (Ph.D) is a Canadian researcher, distinguished professor at Shenzhen University (China). Five years after completing his Ph.D., he came to China in 2015 and became full professor after receiving a talent title from the National Science Foundation of China. He has published more than 375 research papers related to data mining algorithms for complex data (sequences, graphs), intelligent systems and applications, which have received more than 11,000 citations. He is the founder of the popular SPMF data mining library, offering more than 250 algorithms to find patterns in data, cited in more than 1,000 research papers. He is former associate edito-in-chief of the Applied Intelligence journal and has been keynote speaker for over 15 international conferences and co-edited four books for Springer. He is a co-founder of the UDML, PMDB and MLiSE series of workshops held at the ICDM, PKDD, DASFAA and KDD conferences.

    ●Topics of interest include,but are not limited to:

    Agent-based Systems

    AI and Evolutionary Algorithms

    Ant Colony Optimization

    Applications of Soft Computing

    Approximate Reasoning

    Artificial Immune Systems

    Artificial Intelligence

    Artificial Life

    Automated Problem Solving

    Bio-informatics

    Bioinformatics and Computational Biology

    Biomedical Image Analysis

    Biometric Authentication

    Biometrics

    Brain Modeling

    Brain-machine Interfaces

    Camera Networks and Vision

    Case Based Reasoning

    Cognitive Science

    Cognitive Systems and Applications

    Collective Intelligence

    Computational Biology

    Computer Vision

    Content Based Image Retrieval

    Data Mining

    Decision Support Systems

    Differential Evolution

    Distributed AI Systems and Architectures

    Document Analysis

    Emerging Technologies

    Evolutionary Computing

    Evolutionary Data Mining

    Evolutionary Design

    Evolutionary Scheduling

    Fuzzy Computing with Words

    Fuzzy Control and Intelligent Systems

    Fuzzy Decision Making and Decision Support Systems

    Fuzzy Logic and Fuzzy Set Theory

    Fuzzy Optimization and design

    Fuzzy Pattern Recognition

    Fuzzy Systems for Robotics

    Game Theory

    Supervised and Unsupervised Learning

    Symbolic Data Analysis

    Text Mining

    Type-2 Fuzzy Logic

    Hardware for Pattern Recognition and Machine Learning

    Hardware Implementations

    Heuristic Searching Methods

    Image Processing

    Integration of AI With Other Technologies

    Intelligent Agents

    Intelligent Data Mining and Farming

    Intelligent Databases

    Intelligent Information Systems

    Intelligent Networks

    Intelligent Tutoring Systems

    Intelligent User Interface

    Intelligent Web-based Business

    Knowledge Engineering

    Knowledge Networks and Management

    Knowledge-based Recognition

    Knowledge-intensive Problem Solving Techniques

    Machine Learning

    Medical Imaging

    Modeling and Identification

    Molecular and Quantum Computing

    Motion and Tracking Algorithms and Orientation Estimation

    Multi-agent Systems

    Multimedia Systems and Applications

    Natural Language Processing

    Neural Network Theory, Architectures and Applications

    Neural Networks

    Novel Noise Reduction Algorithms

    Particle Swarm Optimization

    Pattern Recognition

    Printing Technologies

    Remote Sensing

    Retrieval

    Robotics and Related Fields

    Rough Sets and Rough Data Analysis

    Segmentation Techniques

    Signal and Speech Processing

    Signal Processing

    Social Impact of AI

    Soft Computing

    Software Tools for AI

    Speech Understanding

    Steganography & Digital Watermarking

    Structural and Syntactic Pattern Recognition

    Uncertainty Analysis

    Various Applications

    Web Intelligence

    ●Paper Submission

    Submission Email: praathysdces.com

    Electronic Submission System: https://cmt3.research.microsoft.com/PRA2023

    ●Notice

    1) Manuscripts must be written in English;

    2) The manuscript should be written in accordance with the standard of template;

    3) The paper should be no less than 6 pages and no longer than 10 pages;

    4) Plagiarism is prohibited;

    5) Duplicate submission is prohibited;

    6) Only unpublished original manuscript will be submitted for peer review.

    ●Call for participants

    1,Presenter: You can give oral / poster presentation on PRA, without publishing your paper in the proceeding.

    2,Listener: Participation does not require to have an accepted paper or to be a presenter of work-in-progress; everyone are welcome to attend PRA.

    3,Reviewer: We sincerely welcome experts in the areas of Pattern Recognition Applications join the conference as reviewer

    ●Contact us

    Ms. Cong

    E-mail: praathysdces.com

    Tel: +852-30506939 | +86-19136072802

    WeChat: APISE17358663189

    Website: https://www.pra2023.org/


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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