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SUBMISSION GUIDELINES

Authors are invited to submit full papers in English of not more than 12 pages (including figures, tables & references) in Springer format. Submissions must present original work that has not been previously published, and not simultaneously submitted to another journal or conference and is not under submission elsewhere. All articles will be reviewed for technical and scientific quality by the Technical Program Committee (TPC) and external reviewers. Submissions should use the general Springer template with a minimum font size of 10 points. All papers must include a title, abstract, keywords, and complete contact information of all authors on the cover page. The corresponding author should be identified clearly. The references should include all published literature relevant to the paper. 

Submissions must be either in PDF or in MS-Word. For details, see Springer's Author Instructions.

Papers must be submitted electronically in (doc/docx/ PDF) format via on-line submission using the Easy Chair system at the link given below.

As per ETTIS-2024 plagiarism policy, any manuscript considered for presentation and publication should not contain more than 15% plagiarism in total and not more than 5% similarity from a single source. 

Download Paper Format (Latex / Word)

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Download: (1) Consent to Publish (CTP),   (2) Permission Request (PR)

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  • Full papers: Authors are welcome to contribute to the conference by submitting articles in all of the related areas of knowledge and results in theory, methodology, and applications of Artificial Intelligence, Machine Learning, Big Data, Cyber-Physical Systems, Quantum Technologies, Smart Systems, and Security, in Industrial/Real-World settings.

  • There will be (oral) presentation sessions for all of the accepted papers.

 

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Selected papers will be submitted to Publishing Partner Springer for Book Series “Lecture Notes in Networks and Systems” (LNNS), scopus indexed.

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List of Topics

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  • Development and deployment of AI applications to important domains (i.e., healthcare, sustainability, transportation, finance, cyber-physical systems, manufacturing, business, government applications)

  • Big data, data mining, and machine learning tools

  • AI and ML-based optimization methods for industrial/practical applications

  • Deep learning, fuzzy and neural systems

  • AI/ML techniques in robotics

  • AI/ML methods for computer vision, image processing, pattern recognition

  • Natural language processing, speech understanding

  • Evolutionary/bio-inspired algorithms

  • Explainable AI

  • Hybrid intelligent systems

  • Bioinformatics

  • Recent trends of AI in programming languages

  • Applied AI for cybersecurity

  • Heuristic and AI planning strategies and tools

  • Probabilistic reasoning, case-based reasoning, constraint programming

  • Ethics, standards, legal implications and challenges of AI implications in government and public organizations

  • Quantum Technologies

  • Big Data

  • Cloud and grid computing for Big Data

  • Machine Learning and AI for Big Data

  • Big Data Analytics and Social Media

  • 5G and Networks for Big Data

  • Cyber Security Situational Awareness

  • AI for Cyber and Cyber for AI

  • Operations in Cyberspace

  • The Human Factor in Cyber Security and Resilience

  • ICT governance and management for digital transformation  

  • Cyber Resilience of Industry 4.0

  • Protecting Critical Infrastructures from Cyberattacks

  • Cybersecurity of Biophysical and Biomedical Systems

  • Societal Resilience to Cybrid Influence

  • Education and Training for Cyber Security and Resilience

  • Digital Organizations in Big Data Environment

  • Sharing Data in Support of Digital Transformation

  • Information Security Policy for Wireless Networks

 

Kindly Note: As per ETTIS-2024 plagiarism policy, any manuscript considered for presentation and publication should not contain more than 15% plagiarism in total and not more than 5% similarity from a single source. 

Paper Submission link: https://easychair.org/conferences/?conf=ettis2024

If you encounter problems in submitting, please contact at ettis2024@gmail.com

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