会議情報

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

投稿締切日:
2026-10-29 締切済み
通知日:
2027-01-28
開催日:
2027-05-17
開催地:
Boulder, Colorado, USA
開催回数:
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CCF: B   QUALIS: A1   閲覧: 79314   フォロー: 92   参加: 12
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会伴インデックス (CP-I)

93.7 / 100
全 5,777 件中 第 27 位 · 上位 1%

人工知能・機械学習 分野 755 件中 第 4 位 システム・アーキテクチャ 分野 342 件中 第 6 位

学術的評価 (35%)
100
投稿の選択性 (20%)
93
開催回数 (20%)
88
コミュニティの注目度 (10%)
75
公開情報の充実度 (15%)
100

使用した入力: 収録ランク：CCF B, QUALIS A1 · 採択率：17.6%（記録のある 5 回の平均） · 確認できる開催回数：25 · 会伴でフォローしている研究者：92 人 · 過去 24 か月にこのページを開いた研究者：62 人

信頼度 100% — 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 2026-11-15

これらの機関の研究者がこの会議をフォローしています

University of Science and Technology of China 7
Beihang University 4
Chongqing University 3
Nanjing University of Posts and Telecommunications 3
Peking University 3

研究者が自身のプロフィールに入力した所属に基づいています。当サイトでは確認していません。

論文募集

SenSys 2027 (ACM/IEEE Conference on Embedded Artificial Intelligence and Sensing Systems) is a CCF B / QUALIS A1 conference held in Boulder, Colorado, USA on 2027-05-17. The paper submission deadline is 2026-10-29. Acceptance notifications are sent on 2027-01-28.

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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採択率

平均採択率: 17.4% 10 年間 (2003–2017).

年投稿数採択数採択率(%)
20171512617.2%
20111232419.5%
20101452517.2%
20091192117.6%
20081532516.3%
20071492516.8%
20061222419.7%
20051182117.8%
20041452114.5%
20031372417.5%

ベストペーパー

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
BComputer Networks4.7Elsevier1389-1286
Applied Soft Computing7.8Elsevier1568-4946
BPattern Recognition9.1Elsevier0031-3203
CFuture Generation Computer Systems5.9Elsevier0167-739X
Sensing and Bio-Sensing Research4.9Elsevier2214-1804
Design Automation for Embedded Systems0.9Springer0929-5585
BSoftware & Systems Modeling3.2Springer1619-1366
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputers & Security5.4Elsevier0167-4048

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