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

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투고 마감일:
2026-09-12 마감됨
통보일:
2026-09-19
개최일:
2026-09-26
개최지:
Toronto, Ontario, Canada
개최 횟수:
주최측:
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BMLI
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회반 지수 (CP-I)

50.6 / 100
전체 5,776개 중 1,585위 · 상위 28%

데이터 마이닝·데이터베이스 분야 340개 중 84위 인공지능·기계학습 분야 755개 중 157위 네트워크·통신 분야 875개 중 223위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
56
커뮤니티 관심도 (10%)
37
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 7 · 회반에서 팔로우 중인 연구자: 4명 · 지난 24개월 동안 이 페이지를 연 연구자: 16명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
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신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-11-13

논문 모집

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
최종 수정: Ronan Hugi ()

관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
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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