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IEAI 2027: International conference on Industrial Engineering and Artificial Intelligence

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투고 마감일:
2026-11-30 28일 남음
통보일:
2026-12-30
개최일:
2027-04-28
개최지:
Seoul, South Korea
개최 횟수:
캘린더에 추가: Google 캘린더 · Outlook / Apple (.ics)
조회: 13796   팔로우: 0   참가: 0
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IEAI
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회반 지수 (CP-I)

48.6 / 100
전체 5,764개 중 2,032위 · 상위 36%

인공지능·기계학습 분야 752개 중 217위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
59
커뮤니티 관심도 (10%)
10
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 8 · 지난 24개월 동안 이 페이지를 연 연구자: 3명

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 2026-11-01

논문 모집

IEAI 2027 (International conference on Industrial Engineering and Artificial Intelligence) is an academic conference held in Seoul, South Korea on 2027-04-28. The paper submission deadline is 2026-11-30. Acceptance notifications are sent on 2026-12-30.

The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to: 1. Applications of AI in Industrial Engineering Intelligent Manufacturing Systems AI-Driven Process Optimization Smart Factories and Industry 4.0 AI for Predictive Maintenance in Industrial Systems Robotics and Automation in Manufacturing AI in Supply Chain and Logistics Optimization Data-Driven Decision Making in Industrial Environments 2. Industrial Optimization and AI AI for Industrial Scheduling and Planning Multi-Objective Optimization using Machine Learning AI-Enhanced Process Control Systems Energy Efficiency Optimization in Manufacturing using AI AI-Enabled Simulation and Modeling for Industrial Systems 3. AI for Quality Control and Safety in Industry Machine Learning in Industrial Quality Control AI for Predicting Failures and Defects in Production Lines Safety Monitoring and Hazard Prevention in Industrial 4. Artificial Intelligence in Industrial Supply Chains AI and Blockchain Integration for Industrial Supply Chains Supply Chain Management with Deep Learning Techniques AI in Logistics and Transportation Networks Data Analytics for Improving Inventory Management in Industry AI for Risk Management and Resilience in Supply Chains 5. Smart Manufacturing and IoT IoT and AI Integration for Real-Time Industrial Monitoring AI in Predictive Maintenance using IoT Sensors Digital Twin Technology for Industrial Applications AI-Driven Decision Support Systems in Industrial Operations 6. Industrial Robotics and Autonomous Systems AI and Machine Learning in Industrial Robotics Autonomous Mobile Robots in Manufacturing Human-Robot Collaboration in Industrial Environments AI for Vision-Based Robotic Systems in Production Lines 7. AI in Industrial Process Automation Deep Learning for Process Automation in Industry Intelligent Automation Systems in Industrial Environments AI-Driven Adaptive Control Systems for Industrial Processes Edge AI for Real-Time Process Control and Decision Making 8. AI-Enabled Sustainability in Industrial Systems AI for Sustainable Manufacturing Practices Machine Learning for Energy Consumption Optimization Smart Waste Management and Recycling Systems using AI AI Solutions for Reducing Carbon Footprint in Industrial Operations 9. AI for Data-Driven Industrial Decision Making Predictive Analytics for Industrial Process Improvement AI in Industrial Big Data Analytics Decision Support Systems using AI in Industrial Operations Machine Learning for Process Optimization in Real-Time Manufacturing 10. AI in Industrial Human-Machine Interaction Human-Centered AI Design for Industrial Applications AI for Improving Human Performance in Industrial Systems Cognitive Computing and Human Factors in Industrial AI AI and Virtual Reality for Industrial Training and Simulation 11. AI and Industrial Cybersecurity AI for Threat Detection and Prevention in Industrial Networks Industrial Cybersecurity with Machine Learning AI-Driven Risk Management for Industrial IoT Autonomous Systems for Securing Critical Infrastructure in Industry 12. AI in Smart Energy and Industrial Systems AI for Smart Grid and Industrial Energy Management AI in Energy Optimization for Industrial Facilities Machine Learning for Predicting Energy Demand in Industrial Systems AI-Driven Energy Efficiency in Industrial Operations Other topics
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41.1Artificial IntelligenceInternational Conference on Automation and Artificial Intelligence2022-06-012020-05-21
AA*95.9SIGIRInternational Conference on Research and Development in Information Retrieval2027-01-142027-07-18
AA*97.8AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*94.8CVPRIEEE Conference on Computer Vision and Pattern Recognition2026-11-102027-06-20
BA*89.8ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*97.6IJCAIInternational Joint Conference on Artificial Intelligence2027-01-042027-08-07
AA*93.0STOCACM Symposium on Theory of Computing2026-11-022027-06-06
C87.6ICCInternational Conference on Communications2026-10-022027-05-30
CB63.0IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Computers & Industrial Engineering6.5Elsevier0360-8352
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 Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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