The 7th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems(MLPRIS 2025)

The 7th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems(MLPRIS 2025) Website：https://www.academicx.org/MLPRIS/2025/ Date：July 18-20, 2025 Venue： Kunming, China The 7th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2025) will be held during July 18-20, 2025 in Kunming, China. The conference will cover issues on Advanced Control and Detection Technology, Artificial Neural Networks, Audio/Speech Recognition, Music Analysis, Multimedia Systems, Biometrics, Biomedical Pattern Analysis and Information Systems, Data/web Mining and Knowledge Discovery, Human-computer Interaction, etc. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods in related fields. MLPRIS 2024 is designed to be an interactive platform, fostering the exchange of the latest research findings and innovative research methodologies within the relevant fields. Attendees will hav... Read more

The 7th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems(MLPRIS 2025) Website：https://www.academicx.org/MLPRIS/2025/ Date：July 18-20, 2025 Venue： Kunming, China The 7th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems (MLPRIS 2025) will be held during July 18-20, 2025 in Kunming, China. The conference will cover issues on Advanced Control and Detection Technology, Artificial Neural Networks, Audio/Speech Recognition, Music Analysis, Multimedia Systems, Biometrics, Biomedical Pattern Analysis and Information Systems, Data/web Mining and Knowledge Discovery, Human-computer Interaction, etc. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods in related fields. MLPRIS 2024 is designed to be an interactive platform, fostering the exchange of the latest research findings and innovative research methodologies within the relevant fields. Attendees will have the opportunity to showcase their research progress, discover emerging trends, and network with fellow professionals in a collaborative environment. Kunming, also known as Yunnan-Fu, is the capital and largest city of Yunnan province, China. It is the political, economic, communications and cultural centre of the province as well as the seat of the provincial government. The headquarters of many of Yunnan's biggest corporations are based in the city. The city was of great significance during World War II as a Chinese military center, American air base, and transport terminus for the Burma Road. In the middle of the Yunnan–Guizhou Plateau, Kunming is at an altitude of 1,900 metres (6,234 feet) above sea level and a latitude just north of the Tropic of Cancer. As of 2020 census, Kunming had a total population of 8,460,088 inhabitants, of whom 5,604,310 lived in its built-up (or metro) area made of all urban districts but Jinning, not conurbated yet. It is at the northern edge of Dian Lake, surrounded by temples and lake-and-limestone hill landscapes. We're looking forward to seeing you in Kunming! Attendance Methods 1.Regular Attendance ( No Submission Required ) You're also welcome to attend our conference (without submitting full paper or abstract) 2.Abstract submission Submit abstract ( Regular Attendance + Abstract + Presentation ) You are welcome to submit abstract for oral presentation or poster presentation. 3. Full Paper submission Submit full paper ( Regular Attendance + Paper Publication + Presentation ) You are invited to submit papers and participate in our academic exchange. One author will be invited to make an oral presentation and the paper will be published by peer-reviewed open access journal. Publication and Presentation Publication: All the accepted papers will be published by a peer-reviewed open access journal that can ensure the widest dissemination of your published work, for more information, please contact us (contact7@academicx.org). Index: CNKI and Google Scholar Note: 1. Manuscripts should be submitted by one of the authors of the manuscript through the online registration/submission system or official email. 2. If you want to present your research results but do NOT wish to publish a paper, you may simply submit an Abstract only. 3. All manuscripts are expected to be prepared as a single PDF or MS Word document with the complete text, references, tables and figures included. Any revised manuscripts prepared for publication should be sent as a single editable Word document. LaTex paper is also acceptable for publication, but it should be in PDF for review first. 4. Please click Template for Manuscripts button to download the Full Paper template and prepare your article according to it. The full length of one paper is suggested to be about 15 pages (within the template format with all tables, figures and references). If your paper is over 20 pages, you will be kindly requested to pay for extra pages fees. 5. The simple Abstract submission should include the title, contents, keywords, authors names, affiliations and emails. The length is suggested to be controlled within 1 page and no more than 2 pages. 6. You will receive the review results within 5-7 working days after submission. If you do not get any notification within the time limit, please contact us as soon as possible. 7. You are welcome to submit papers in Chinese and please contact us for more details. Contact Us Email:contact7@academicx.org (intelconf@163.com) Whatsapp: 0086 18672346485 Tel: +86 18627814037 QQ: 1349406763 WeChat: 3025797047 Official Account: Academic Communications Topics: The conference is soliciting state-of-the-art research papers in the following areas of interest: Applications Other Related Topics Deep Learning Reinforcement Learning Natural Language Processing Data/web Mining and Knowledge Discovery Computer Vision Bayesian Learning Semi-Supervised Learning Unsupervised Learning Active Learning Transfer Learning Explainable AI Image Analysis Speech Recognition Biometric Identification Pattern Classification Object Recognition Signal Processing Robotics and Automation Time Series Analysis Expert Systems Intelligent Agents Fuzzy Systems Evolutionary Computation Machine Learning Neural Networks Human-Computer Interaction Multi-Agent Systems Other Related Topics