会议信息

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

由主办方官方维护
截稿日期:
2026-09-12 已截稿
通知日期:
2026-09-19
会议日期:
2026-09-26
会议地点:
Toronto, Ontario, Canada
届数:
主办方:
请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
注册 登录
浏览: 17221   关注: 4   参加: 0
这一页信息有误？告诉我们
嵌入截止倒计时徽章
BMLI
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。

会伴指数 (CP-I)

50.6 / 100
全站第 1,585 名 / 共 5,776 个会议 · 前 28%

数据挖掘与数据库 第 84 / 340 人工智能与机器学习 第 157 / 755 网络与通信 第 223 / 875

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%)
56
社区关注 (10%)
37
资料公开度 (15%)
55

用到的输入: 有据可查的届次：7 · 在会伴关注它的研究者：4 人 · 过去 24 个月打开过本页的研究者：16 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 2026-11-13

征稿

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
由 Ronan Hugi 最后更新于

相关会议

相关期刊

CCF全称影响因子出版商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

评论 0

暂无评论。

请登录后发表评论