会议信息

APIT 2027: Asia Pacific Information Technology Conference

截稿日期:
2026-08-10 已截稿
通知日期:
2026-09-15
会议日期:
2027-01-22
会议地点:
Osaka, Japan
届数:
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浏览: 21571   关注: 6   参加: 2
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会伴指数 (CP-I)

51.7 / 100
全站第 1,375 名 / 共 5,777 个会议 · 前 24%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
62
社区关注 (10%)
35
资料公开度 (15%)
55

用到的输入: 有据可查的届次:9 · 在会伴关注它的研究者:6 人 · 过去 24 个月打开过本页的研究者:8 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-11-14

征稿

APIT 2027 (Asia Pacific Information Technology Conference) is an academic conference held in Osaka, Japan on 2027-01-22. The paper submission deadline is 2026-08-10. Acceptance notifications are sent on 2026-09-15.

The APIT 2027 will present the most recent and exciting advances in Information Technology through keynote talks. APIT focuses on system modeling and information techniques in real engineering and scientific problems. It provides a forum that impacts the development of scientific computing, complex systems, control theory, signal and image processing, scheduling, data mining, discrete systems. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: 1. Artificial Intelligence and Machine Learning Advances in deep learning and neural networks AI-driven decision-making systems Ethical AI and responsible machine learning AI applications in healthcare, finance, and education Natural language processing and conversational AI 2. Big Data and Data Science Big data analytics and visualization Data mining and knowledge discovery Privacy-preserving data sharing techniques Real-time data processing and stream analytics Applications of big data in smart cities and IoT 3. Cloud Computing and Edge Computing Cloud-native architectures and serverless computing Edge computing for low-latency applications Hybrid and multi-cloud strategies Security and privacy in cloud environments Cloud-based AI and machine learning platforms 4. Cybersecurity and Privacy Threat detection and response systems Blockchain for secure transactions and data integrity Privacy-enhancing technologies Cybersecurity in IoT and critical infrastructure Zero-trust architectures and secure access controls 5. Internet of Things (IoT) and Smart Systems IoT architectures and protocols Smart homes, cities, and industries Energy-efficient IoT devices and networks IoT security and privacy challenges Integration of IoT with AI and cloud computing 6. Software Engineering and Development Agile and DevOps methodologies Software quality assurance and testing Model-driven engineering and low-code platforms Open-source software development and communities Software security and vulnerability management 7. Human-Computer Interaction (HCI) User experience (UX) design and evaluation Augmented reality (AR) and virtual reality (VR) interfaces Accessibility and inclusive design Multimodal interaction and gesture-based controls HCI for AI-driven systems
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