会议信息

BDCC 2026: EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

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截稿日期:
2026-09-30 已截稿
通知日期:
2026-10-20
会议日期:
2026-12-03
会议地点:
Coimbatore, India
届数:
浏览: 16971   关注: 2   参加: 0
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BDCC
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会伴指数 (CP-I)

50.8 / 100
全站第 1,539 名 / 共 5,771 个会议 · 前 27%

能源与环境 第 26 / 313 数据挖掘与数据库 第 78 / 340 人工智能与机器学习 第 147 / 755

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%)
26
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：2 人 · 过去 24 个月打开过本页的研究者：7 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 2026-11-11

征稿

BDCC 2026 (EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing) is an academic conference held in Coimbatore, India on 2026-12-03. The paper submission deadline is 2026-09-30. Acceptance notifications are sent on 2026-10-20.

Scope The 9th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2026) continues the mission of advancing intelligent, scalable, and sustainable data-driven technologies for the next era of cognitive computing. Building upon previous editions, BDCC 2026 emphasizes trustworthy AI, ultra-efficient big data systems, and human-aligned cognitive intelligence to address global sustainability challenges. The conference explores next-generation big data analytics, adaptive cognitive architectures, and sustainable AI ecosystems, focusing on their transformative impact across smart societies, industry, healthcare, climate systems, and emerging digital infrastructures. Special attention is given to resilient, low-energy, and ethical AI solutions capable of operating on a scale in complex, real-world environments. BDCC 2026 serves as a premier interdisciplinary forum bringing together researchers, engineers, industry leaders, and policymakers to exchange ideas, present original research, and discuss future directions for responsible digital transformation. Contributions spanning theoretical foundations, applied innovations, experimental systems, and real-world deployments are strongly encouraged. Topics Quantum-inspired and hybrid quantum algorithms Neuromorphic and brain-inspired computing for energy-efficient big data processing Federated, decentralized, and self-learning cognitive systems Explainable, trustworthy, and ethical AI for big data decision-making Green AI models for reducing energy consumption and carbon emissions Energy-aware big data architectures and low-power AI accelerators Next-generation big data compression and adaptive model optimization Cognitive digital twins for smart cities, smart grids, and industrial sustainability Edge-AI and real-time analytics for traffic optimization and pollution reduction AI-driven predictive maintenance and resource optimization AI-powered early warning systems for climate and disaster resilience Big data analytics for environmental monitoring and climate modeling Sustainable water, energy, and waste management using cognitive intelligence Green blockchain technologies for secure and sustainable big data processing Human-centric AI for transparent and inclusive decision-making AI-driven drug discovery and personalized healthcare systems Cognitive IoT for smart healthcare and remote monitoring AI-powered big data analytics for space exploration and planetary sustainability Future Advancements
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