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IML 2017: International Conference on Internet of Things and Machine Learning

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截稿日期:
2017-05-30 Extended
通知日期:
2017-06-20
会议日期:
2017-10-17
会议地点:
Liverpool, UK
浏览: 15510   关注: 0   参加: 0

会伴指数 (CP-I)

42.1 / 100
全站第 4,141 名 / 共 5,683 个会议 · 前 73%

人工智能与机器学习 第 538 / 740 网络与通信 第 648 / 864

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
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%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 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 25% —— 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 1.1 · 算于 2026-09-21

征稿

IML 2017 (International Conference on Internet of Things and Machine Learning) is an academic conference held in Liverpool, UK on 2017-10-17. The paper submission deadline is 2017-05-30 (extended). Acceptance notifications are sent on 2017-06-20.

The International Conference on Internet of Things and Machine Learning (IML 2017) will be held from October 17 – 18, 2017 in Liverpool John Moores University, Liverpool city, United Kingdom. Through its technical program, the conference aims to provide an outstanding opportunity for both academic and industrial communities alike to address new trends and challenges, emerging technologies and progress in standards on topics relevant to today’s fast moving areas of Internet of Things and Machine Learning. This workshop will discuss new results in the field of Internet of things and machine learning. IML 2017 will offer oral, poster sessions, tutorials and, professional meetings. The program of the IML 2017 Conference intends to foster interaction so as to open the way to future cooperation between participants. All researchers and teams who develop research or recently became interested in the domains of Internet of things and machine learning are invited. Submitted papers are expected to cover state-of-the-art technologies, theoretical concepts, standards, products implementation, ongoing research projects and innovative applications of the Internet of things and machine learning technologies use. All accepted papers (regular, short, and poster) will be published by ACM – International Conference Proceedings Series (ICPS) and will be available in ACM Digital Library . ISBN: 978-1-4503-5243-7 Authors are invited to submit papers presenting original research in all areas of Internet of things and machine learning. Original unpublished manuscripts, and not currently under review in another journal or conference, are solicited in relevant areas including, but not limited to: Internet of Things: Wireless communications Understanding Networks and Networking protocols Sensors and hardware programming Smart Cities (Smart parking, Smartphone detection, Traffic congestion, Smart lighting, etc.). Smart Water (Potable water monitoring, Chemical leakage detection in rivers, River floods, etc.). Security & Emergencies Retail (Supply chain control, Intelligent shopping applications, Smart product management, etc.). Logistics (Quality of shipment conditions, Item location, etc.). Industrial Control (M2M Applications, Indoor air quality, Temperature monitoring, etc.). Smart Agriculture (Green houses) Digital Health-care / Telehealth / Telemedicine Information security Cloud computing IP multimedia subsystems Connectivity Smart Farming Smart Grids Machine Learning: Statistical Methods Data Engineering (capture, storage, search, sharing, modeling) Advanced Data Computing Visualization Pattern Recognition Data Interpretation and Analysis Data Mining Data Analytics Big Data Challenges Multimedia Learning Multi-Graph Learning Deep Learning Neural Networks Support Vector Machines Evolutionary computations Fuzzy approaches Genetic Algorithms Features Selection Artificial Intelligence Signal and Image Processing Applications of Machine Learning
由 Dou Sun 最后更新于

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CCF全称影响因子出版商ISSN
BMachine Learning2.9Springer0885-6125
CIEEE Internet of Things Journal8.9IEEE2327-4662
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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
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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