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

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IML
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투고 마감일:
2017-05-30 Extended
통보일:
2017-06-20
개최일:
2017-10-17
개최지:
Liverpool, UK
조회: 15507   팔로우: 0   참가: 0

회반 지수 (CP-I)

42.1 / 100
전체 5,683개 중 4,141위 · 상위 73%

인공지능·기계학습 분야 740개 중 538위 네트워크·통신 분야 864개 중 648위

근거가 제한적입니다: 이 학회는 CCF / ICORE / QUALIS 어디에도 수록되어 있지 않고 게재율 데이터도 없어, 점수의 대부분이 중립 기준값으로 되돌아갑니다.
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산
개최 횟수 (20%) 데이터 없음 — 중립 기준값 50점으로 계산
커뮤니티 관심도 (10%)
8
공개 자료 충실도 (15%)
25

사용한 입력: 지난 24개월 동안 이 페이지를 연 연구자: 2명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 25% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-21

논문 모집

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
최종 수정: Dou Sun ()

관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
BMachine Learning2.9Springer0885-6125
CIEEE Internet of Things Journal8.9IEEE2327-4662
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
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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