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PRAI 2027: International Conference on Pattern Recognition and Artificial Intelligence

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회원가입 로그인
투고 마감일:
2027-03-15 126일 남음
통보일:
2027-04-15
개최일:
2027-08-06
개최지:
Chongqing, China
개최 횟수:
캘린더에 추가: Google 캘린더 · Outlook / Apple (.ics)
조회: 19701   팔로우: 16   참가: 3
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PRAI
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회반 지수 (CP-I)

54.0 / 100
전체 5,771개 중 1,009위 · 상위 18%

컴퓨터 비전·패턴 인식 분야 247개 중 37위 인공지능·기계학습 분야 755개 중 87위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
65
커뮤니티 관심도 (10%)
53
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 10 · 회반에서 팔로우 중인 연구자: 16명 · 지난 24개월 동안 이 페이지를 연 연구자: 29명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
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신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-11-09

논문 모집

PRAI 2027 (International Conference on Pattern Recognition and Artificial Intelligence) is an academic conference held in Chongqing, China on 2027-08-06. The paper submission deadline is 2027-03-15. Acceptance notifications are sent on 2027-04-15.

Submit Online: https://www.easychair.org/conferences/?conf=prai2026 Select the track when you submit. The topics of interest include, but not limited to the following: T1. Robot Perception and Intelligent Interaction Track Chair: Yang Liu, Xi'an Jiaotong -Liverpool University, China Visual and sensory perception in robotics Object recognition and manipulation Human-robot interaction models Multi-modal sensing and perception Cognitive architectures for intelligent robots Navigation and path planning under uncertainty Social and emotional interaction models for robots Applications of AI in service robots Learning from demonstration and imitation Ethical considerations in robot interaction T2. Image Analysis and Smart Healthcare Track Chair: Chuanlin Liu, Southwest Petroleum University, China Medical image processing and analysis Computer-aided diagnosis and decision support systems Radiomics and genomics integration Image-based biomarker discovery Automation of medical imaging workflows AI applications in pathology and histology Image segmentation and feature extraction techniques Mobile health technologies for image analysis Visualization techniques for healthcare data Ethical issues in medical image interpretation T3. Intelligent Manufacturing and Autonomous Drive Track Chair: Peng Lin, Hangzhou Dianzi University, China Smart manufacturing systems and Industry 4.0 technologies Predictive maintenance and smart logistics Autonomous vehicle perception and control Robotic process automation in manufacturing Human-centered design in smart factories Quality control and defect detection using AI Real-time monitoring and optimization of manufacturing processes Autonomous navigation and path planning for drones and vehicles Case studies on successful implementation of AI in manufacturing Safety and ethical implications of autonomous systems T4. Intelligent Recommendation and Text Analysis Track Chair: Jianping Gou, Southwest University, China User behavior modeling for recommendation systems Natural language processing techniques for text analysis Sentiment analysis and opinion mining Personalized recommendation algorithms Multi-platform recommendation systems Explainable recommendation systems Text summarization and entity recognition Cross-domain recommendations and transfer learning Applications of recommendation systems in e-commerce and media Social media analysis and trend prediction T5. Speech, Signal and Video Processing Track Chairs: Yanmei Li, Chongqing University of Technology, China Zhongqiang Luo, Sichuan University of Science & Engineering, China Speech recognition and synthesis technologies Audio signal processing techniques and applications Affect detection in speech signals Video analysis and action recognition Real-time signal processing for IoT devices Hardware accelerators for signal processing Robustness and noise reduction techniques in speech signals Applications of AI in real-time video surveillance Feature extraction for audio-visual content Ethical considerations in speech and video processing technologies Track 6. Metaverse, Virtual Reality and Augmented Reality Track Chair: Liang Liu, Sichuan University of Science & Engineering, China Development of virtual platforms and environments User experience design for AR and VR applications AI-driven content creation in the metaverse Interoperability and standards in virtual environments Social interaction in virtual spaces Applications of AR and VR in education and training Ethical implications of the metaverse and digital identities Immersive technologies for health and therapy Enhancing real-world interaction with AR Case studies of successful metaverse applications T7. Quantum Computing and Applications Track Chair: Jinhua Liu, Shangrao Normal University, China Algorithms and models for quantum machine learning Quantum-enhanced optimization techniques Cryptography and security in quantum systems Quantum data structures and their applications Noise reduction techniques in quantum computing Hybrid quantum-classical approaches for data analysis Quantum simulation and its applications in AI Challenges and breakthroughs in quantum hardware Quantum computing for big data processing Ethical implications and societal impact of quantum technologies T8. Internet of Things and Applications Track Chair: Zhufang Kuang, Central South University of Forestry and Technology, China Smart IoT applications in industry and healthcare Security and privacy challenges in IoT systems IoT architecture and protocols for data exchange Edge computing in IoT environments Data analytics for IoT-based systems Energy-efficient IoT device designs Autonomous IoT systems and machine-to-machine interaction Sensor networks and their applications Case studies in smart cities and sustainable development Ethical considerations in data collection from IoT devices T9. Machine Learning, Privacy Computing and Federated Learning Track Chair: Lianmeng Jiao, Northwestern Polytechnical University, China Applications of federated learning in different domains Privacy-preserving machine learning algorithms Ethical AI and fairness in machine learning Explainable AI techniques in privacy-aware environments Real-world use cases for privacy computing Data ownership and consent management Adaptive learning algorithms for heterogeneous data Security challenges in federated networks Cross-domain generalization in machine learning models Future directions in privacy-preserving technologies T10. Biomedical Signal Processing and Smart Health Track Chair: Fengshi Jing, City University of Macau, China Techniques for processing physiological signals (ECG, EEG, etc.) Wearable health technology and applications Machine learning approaches for smart health monitoring Remote diagnosis and telemedicine systems Signal analysis for chronic disease management Improvement of signal quality and noise reduction technologies Real-time data processing in healthcare applications Integration of diverse biomedical signals for health insights Clinical decision support systems based on signal analysis Ethical issues in the use of biomedical signals T11. Integration and Application of Unmanned Systems Track Chair: Cheng Huang, The University of Texas Southwestern Medical Center, USA Autonomous drones and their applications in logistics Unmanned ground and aerial vehicle coordination Sensor fusion techniques for unmanned systems Applications of UAVs in agriculture and environmental monitoring Security and surveillance applications using unmanned systems Human-robot collaboration in unmanned systems operations Regulatory and safety issues in the deployment of unmanned systems Real-time data processing for autonomous navigation Networked unmanned systems for disaster response Ethical considerations in military and commercial uses of unmanned systems T12. Deep Learning and Astronomical Big Data Track Chair: Yuanyuan Huang, Chengdu University of Information Technology, China Deep learning techniques for astronomical image processing Modeling and simulation of cosmic phenomena using AI Data mining techniques for large astronomical datasets Applications of AI in exoplanet discovery and characterization Integration of AI with telescopes and observatories Transfer learning in the context of astronomical data Visualization techniques for large-scale astronomical datasets Predictive analytics in cosmology and astrophysics Collaboration between AI and astronomy communities Ethical considerations in the use of AI for space exploration
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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
International Journal of Pattern Recognition & Artificial IntelligenceWorld Scientific0218-0014
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.5Elsevier0167-8655
BPattern Recognition9.1Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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