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ICCIDS 2027: International Conference on Computational Intelligence in Data Science

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ICCIDS
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截稿日期:
2026-10-15 还有 35 天
通知日期:
会议日期:
2027-01-06
会议地点:
Chennai, India
届数:
浏览: 14739   关注: 0   参加: 0

会伴指数 (CP-I)

49.9 / 100
全站第 1,567 名 / 共 5,658 个会议 · 前 28%

数据挖掘与数据库 第 84 / 337 人工智能与机器学习 第 154 / 737

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%)
65
社区关注 (10%)
12
资料公开度 (15%)
55

用到的输入: 有据可查的届次：10 · 过去 24 个月打开过本页的研究者：4 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 1.1 · 算于 2026-09-10

征稿

ICCIDS 2027 (International Conference on Computational Intelligence in Data Science) is an academic conference held in Chennai, India on 2027-01-06. The paper submission deadline is 2026-10-15.

Topics of Interest Quantum Machine Intelligence & Computing •Quantum algorithms for AI and machine learning •Quantum neural networks and deep learning •Quantum cryptography and secure computing •Quantum-inspired optimization techniques •Quantum simulation and modeling •Hybrid quantum-classical computing frameworks •Error correction and fault tolerance in quantum systems Next-Gen Computing Architectures and Accelerators •High-performance computing architectures •Neuromorphic and brain-inspired architectures •Embedded & real-time systems •Cloud, edge, and fog computing architectures •Energy-efficient computing systems •Hardware acceleration for AI (GPU, TPU, FPGA) •Scalable architectures for big data and AI workloads Recent Advances in Computer Vision and Pattern Recognition •Object detection, tracking, and recognition •3D vision, stereoscopic imaging, and depth estimation •Scene understanding and semantic segmentation •Action and gesture recognition •Vision-based biometrics and identity verification •Image and video quality assessment and enhancement •Vision for autonomous vehicles and robotics Immersive Technologies: AR, VR, and Mixed Reality •Virtual and augmented reality applications in education, healthcare, and industry •Mixed reality interfaces and interaction design •Human-computer interaction in immersive environments •3D content creation, rendering, and visualization •Immersive simulations and training systems •Stereoscopic 3D and 360° video processing •Perceptual quality and user experience in immersive systems Innovations in Computational Intelligence and Machine Learning •Deep learning architectures and optimization •Reinforcement learning and decision-making systems •Transfer learning and domain adaptation •Generative models and diffusion-based learning •Explainable AI (XAI) and interpretable models •Federated and privacy-preserving machine learning •Bio-inspired and swarm intelligence algorithms Optimization Techniques and Operations Research •Metaheuristic and evolutionary optimization algorithms •Multi-objective and constraint-based optimization •Combinatorial optimization and scheduling problems •Stochastic and robust optimization methods •Game theory and decision sciences •Optimization in logistics, supply chain, and transportation •AI-driven resource allocation and planning Ethical, Legal, and Regulatory Frameworks for AI •AI ethics, bias, and fairness •Accountability, transparency, and trust in AI •AI governance and policy frameworks •Privacy, data protection, and compliance •Legal aspects of autonomous systems •Responsible AI deployment in industry •Societal impact and sustainable AI adoption AI for Sustainable Cities and Rural Development •Smart city infrastructure and IoT for urban management •AI in energy efficiency and renewable energy systems •Sustainable agriculture and rural development technologies •Intelligent transportation and traffic management •Environmental monitoring and disaster management •Water resource management using AI •AI for education and healthcare in rural communities
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