Conference Information

INAIT 2019: International Conference on Industry 4.0 and Artificial Intelligence Technologies

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Submission Date:
2018-10-05
Notification Date:
Conference Date:
2019-08-19
Location:
Cambridge, UK
Viewed: 14781   Tracked: 0   Attend: 0
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INAIT
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Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,168 of 5,695 conferences · Top 74%

#540 of 741 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-11

Call For Papers

INAIT 2019 (International Conference on Industry 4.0 and Artificial Intelligence Technologies) is an academic conference held in Cambridge, UK on 2019-08-19. The paper submission deadline is 2018-10-05.

Conference Proceedings ISBN: 978-1-912532-07-0. The proceedings will be also submitted to Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus for indexation. International Conference on Industry 4.0 and Artificial Intelligence Technologies. will be held from August 19-20, 2019 in Hughes Hall, University of Cambridge, United Kingdom (Contract booking Ref: C190801).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 Industry 4.0 and Artificial Intelligence Technologies. INAIT 2019 will offer oral, poster sessions, tutorials, and professional meetings. The program of the INAIT 2019 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 Industry 4.0 and Artificial Intelligence Technologies. Submitted papers are expected to cover state-of-the-art technologies, theoretical concepts, standards, products implementation, ongoing research projects and innovative applications of Industry 4.0 and Artificial Intelligence Technologies. INAIT 2019 Conference is a peer-reviewed conference which publishes articles with original research, extended version of previous papers, abstracts, review, commentary, opinion, rapid communication, case report etc. on all aspects of Industry 4.0 and Artificial Intelligence Technologies. Content areas include, but not limited to: Topics: Industry 4.0: Advanced Diagnostics, Prognostics and Asset Health Management Advanced Techniques and Technologies for Energy Saving Big Data Cloud Computing Cybersecurity Embedded Systems Grid Computing Internet of Things Machine-To-Machine Communication Standards for Smart Manufacturing Manufacturing Intelligence and Manufacturing Informatics Radio Communications Technologies Remote Access and Control Remote Maintenance Signal Processing Simulations and Modelisations Smart Applications Smart Grid Smart Manufacturing Smart Security and Data Applications Smart Systems Survey Papers, Reports, Case Studies Work in Progress, and Applications Trends and Challenges Virtual Machines Wearable Technologies Wireless Sensor Network Artificial Intelligence: Hot topics, but not limited to: AI-optimized Hardware Biometrics Deep Learning Platforms Machine Learning Natural Language Generation Robotic Process Automation Speech Recognition Text Analytics and NLP Virtual Agents Others, but not limited to: Clustering and Classification Data Interpretation and Analysis Evolutionary computations Features Selection Fuzzy approaches Genetic algorithms Graph-based Data Analysis Information Retrieval Knowledge Representation and Reasoning Machine Learning Multi-task Learning Neural Networks Pattern Recognition Sequential Data Processing Signal and Image Processing Support Vector Machines Survey Papers, Reports, Case Studies Work in Progress, and Applications Visualization
Last updated by Dou Sun on

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