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SenSys 2027: ACM/IEEE Conference on Embedded Artificial Intelligence and Sensing Systems

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투고 마감일:
2026-05-29
통보일:
2026-08-31
개최일:
2027-05-11
개최지:
New York City, New York, USA
개최 횟수:
CCF: B   QUALIS: A1   조회: 75315   팔로우: 90   참가: 12

회반 지수 (CP-I)

92.7 / 100
전체 5,682개 중 33위 · 상위 1%

인공지능·기계학습 분야 739개 중 3위 시스템·아키텍처 분야 341개 중 7위

학술적 인정 (35%)
100
투고 선별성 (20%)
93
개최 횟수 (20%)
88
커뮤니티 관심도 (10%)
65
공개 자료 충실도 (15%)
100

사용한 입력: 수록 등급: CCF B, QUALIS A1 · 게재율: 17.6%(기록이 있는 5개 회차의 평균) · 확인되는 개최 횟수: 25 · 회반에서 팔로우 중인 연구자: 90명 · 지난 24개월 동안 이 페이지를 연 연구자: 16명

신뢰도 100% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-16

논문 모집

SenSys 2027 (ACM/IEEE Conference on Embedded Artificial Intelligence and Sensing Systems) is a CCF B / QUALIS A1 conference held in New York City, New York, USA on 2027-05-11. The paper submission deadline is 2026-05-29. Acceptance notifications are sent on 2026-08-31.

We are pleased to announce SenSys 2027: The International Conference on Embedded Artificial Intelligence and Sensing Systems, co-located with CPS-IoT Week. In 2026, SenSys, IPSN, and IoTDI merged into a single flagship conference, uniting their communities to create the premier forum for research on sensing systems and embedded artificial intelligence (AI). The combined event brings together expertise across sensor networks, embedded systems, mobile and wireless computing, machine learning, cyber-physical systems (CPS), Internet of Things (IoT), and AI-driven applications—fostering new directions and cross-disciplinary impact. SenSys 2027 will continue this tradition. Accepted regular papers will be published with ACM; accepted demo and poster abstracts will be published with IEEE. All content will be cross-indexed. Topics of Interest SenSys 2027 welcomes submissions on original, high-impact research across embedded AI, sensing systems, and CPS/IoT. Topics include, but are not limited to: Algorithms and Information Analytical and theoretical foundations for embedded sensing systems Coding, compression, and information theory for embedded systems Collaborative sensing with AI/ML-driven models Federated learning or neural architecture search (NAS) Large language models for edge and embedded systems Processing in sensor networks and embedded systems Applications Augmented and virtual reality Autonomous vehicles, unmanned aerial vehicles, and drones Personal, wearable, and other human-centric embedded systems Smart cities, smart buildings, and industrial IoT Platforms Low-power and novel IoT protocols for 5G/6G and other architectures New communication paradigms for ubiquitous connectivity Satellite systems and applications, including CubeSats Systems for extreme environments (e.g., underwater, aerial, space) Security Decentralization and blockchain for embedded sensing systems Fairness, equity, and transparency issues in IoT and CPS Fault-tolerance, dependability, and robustness in embedded platforms IoT data marketplaces, compression, and semantic summarization Secure and privacy-sensitive IoT Systems Digital twins and physical AI systems for real-world applications Edge computing, fog computing, and real-time IoT/CPS systems Heterogeneous sensor networks and data fusion IoT and CPS for sustainability Localization, synchronization, RFID, and RF sensing Novel sensor technologies, sensing paradigms, and deployments In addition, SenSys 2027 will accept submissions as a full or short paper on Visions, Experiences, Tools, Datasets, and Benchmarks: Visions, grand challenges, or new directions Experiences, insights, challenges, and lessons learned from real-world deployments Benchmarks for evaluating systems, models, algorithms, or tools Tools, toolkits, or frameworks that advance research in embedded AI and sensing systems Datasets that support research in embedded AI and sensing systems Frameworks that advance research in embedded AI and sensing systems Authors submitting to the second category on visions, experiences, etc., may choose between a full paper (12 pages) or a short paper (6 pages). Short papers will be evaluated on originality, clarity, and potential impact, even without extensive evaluation. Note that survey and tutorial papers are out of scope for SenSys 2027. All accepted papers will be presented at the conference, and their presentation format will be determined later.
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게재율

평균 게재율: 17.4% 10년간 (2003–2017).

연도투고 수게재 수게재율(%)
20171512617.2%
20111232419.5%
20101452517.2%
20091192117.6%
20081532516.3%
20071492516.8%
20061222419.7%
20051182117.8%
20041452114.5%
20031372417.5%

이 항목을 본 사람들이 함께 본 항목

CCFICORECP-I약칭정식 명칭투고 마감개최일
A94.2NSDIUSENIX Symposium on Networked Systems Design and Implementation2026-09-102027-05-11
CB86.4WCNCIEEE Wireless Communications and Networking Conference2026-09-152027-04-05

관련 학회

CCFICORECP-I약칭정식 명칭투고 마감개최일
40.7Artificial IntelligenceInternational Conference on Automation and Artificial Intelligence2022-06-012020-05-21
BA*89.7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94.0IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16
BA*79.4PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-06-13
BA76.4ICMEInternational Conference on Multimedia and Expo2025-12-312026-07-05
B84.4BIBMInternational Conference on Bioinformatics & Biomedicine2026-07-052026-12-01
BA*94.1ICDMInternational Conference on Data Mining2026-06-062026-11-12
BA*89.0ECCVEuropean Conference on Computer Vision2026-03-062026-09-08
BA92.8DATEDesign, Automation and Test in Europe2026-09-072027-03-22

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Sensing and Bio-Sensing Research4.9Elsevier2214-1804
Design Automation for Embedded Systems0.9Springer0929-5585
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software3.8Elsevier0164-1212

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