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IEAI 2027: International conference on Industrial Engineering and Artificial Intelligence

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投稿締切日:
2026-11-30 残り 28 日
通知日:
2026-12-30
開催日:
2027-04-28
開催地:
Seoul, South Korea
開催回数:
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会伴インデックス (CP-I)

48.6 / 100
全 5,764 件中 第 2,032 位 · 上位 36%

人工知能・機械学習 分野 752 件中 第 217 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
59
コミュニティの注目度 (10%)
10
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数：8 · 過去 24 か月にこのページを開いた研究者：3 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.2 · 算出日 2026-11-01

論文募集

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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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
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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