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BMLI 2026: International Conference on Big Data, Machine Learning and IoT

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投稿締切日:
2026-09-12 締切済み
通知日:
2026-09-19
開催日:
2026-09-26
開催地:
Toronto, Ontario, Canada
開催回数:
主催者:
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会伴インデックス (CP-I)

50.6 / 100
全 5,776 件中 第 1,585 位 · 上位 28%

データマイニング・データベース 分野 340 件中 第 84 位 人工知能・機械学習 分野 755 件中 第 157 位 ネットワーク・通信 分野 875 件中 第 223 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%)
56
コミュニティの注目度 (10%)
37
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：7 · 会伴でフォローしている研究者：4 人 · 過去 24 か月にこのページを開いた研究者：16 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)
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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 2026-11-13

論文募集

BMLI 2026 (International Conference on Big Data, Machine Learning and IoT) is an academic conference held in Toronto, Ontario, Canada on 2026-09-26. The paper submission deadline is 2026-09-12 (extended). Acceptance notifications are sent on 2026-09-19.

7th International Conference on Big Data, Machine Learning and IoT (BMLI 2026) September 26 ~ 27, 2026, Toronto, Canada https://nlaim2026.org/bmli/index Scope 7th International Conference on Big Data, Machine Learning and IoT (BMLI 2026) serves as a premier global forum for presenting innovative ideas, cutting edge research, advanced methodologies and real world applications across the rapidly evolving domains of Big Data, Machine Learning and the Internet of Things. As data driven intelligence continues to transform industries, scientific discovery and society at large, BMLI 2026 brings together researchers, practitioners and thought leaders to exchange insights, foster collaboration and shape the next generation of intelligent systems. The conference welcomes high quality contributions that demonstrate significant advances, including theoretical developments, experimental results, system designs, industrial case studies and comprehensive. Topics of interest include, but are not limited to, the following • Distributed and cloud native data systems • Streaming, real time analytics and event processing • AI native databases, vector search and semantic retrieval • Foundation models, multimodal AI and self supervised learning • Transformers, MoE models and efficient inference • Generative AI, diffusion models and synthetic data • RAG systems, LLM augmentation and knowledge integration • LLM agents, autonomous AI and tool use models • Graph ML, GNNs and large scale graph systems • Federated, distributed and privacy preserving ML • Causal ML, counterfactual reasoning and robust inference • Continual, lifelong and meta learning • Neural architecture search and automated ML • Multi agent reinforcement learning and cooperative AI • AI safety, alignment and adversarial robustness • Large scale training, parallel ML and AI compilers • ML for code, program synthesis and automated reasoning • Knowledge graphs, semantic systems and reasoning • Multimodal analytics: text, vision, audio, sensor data • Neural fields (NeRFs, Gaussian Splatting) and 3D reconstruction • Embodied AI, robotic foundation models and simulation • Next gen IoT: 5G/6G, LPWAN, satellite IoT and NTN • Ultra low power IoT, neuromorphic edge and energy harvesting • Wireless and RF sensing, CSI based perception • IoT localization, tracking and cooperative perception • Digital twins, cyber physical systems and industrial IoT • LLMs at the edge (TinyLLMs, EdgeLLMs) • LLM powered IoT orchestration and autonomous device control • RAG for sensor data, time series and IoT streams • AI for cybersecurity, threat intelligence and LLM red teaming • Quantum ML, SciML and AI for scientific discovery • AI for climate, sustainability and environmental systems • Spatial computing, AR/VR/XR and neural rendering • Responsible AI: fairness, ethics and governance Paper Submission Authors are invited to submit papers through the conference Submission System by September 12, 2026 (Final Call). Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from BMLI 2026, after further revisions, will be published in the special issue of the following journal. • The International Journal of Database Management Systems (IJDMS) • International Journal of Data Mining & Knowledge Management Process (IJDKP) • International Journal on Web Service Computing (IJWSC) • Machine Learning and Applications: An International Journal (MLAIJ) • Advances in Vision Computing: An International Journal (AVC) • Information Technology in Industry (ITII) Important Dates • Submission Deadline: September 12, 2026 (Final Call) • Authors Notification: September 19, 2026 • Registration & camera - Ready Paper Due: September 23, 2026 Contact Us Here's where you can reach us : [email protected] (or) [email protected] Submission URL: https://inwes2026.org/submission/index.php
最終更新：Ronan Hugi （）

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CCF正式名称インパクトファクター出版社ISSN
BMachine Learning2.9Springer0885-6125
CIEEE Internet of Things Journal8.9IEEE2327-4662
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
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

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