Scholarly Research Excellence

ICMISE 2020 : 22nd International Conference on Machine Intelligence and Systems Engineering

London, United Kingdom
March 14 - 15, 2020

Conference Code: 20UK03ICMISE

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Digital Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICMISE 2020 has teamed up with the Special Journal Issue on Machine Intelligence and Systems Engineering. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   November 15, 2019
Notification of Acceptance/Rejection   November 30, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   February 14, 2020
Conference Dates   March 14 - 15, 2020

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Systems Engineering and Project Management Process Modeling in the Aeronautics Context: Case Study of SMEs
S. Lemoussu, J. C. Chaudemar, R. A. Vingerhoeds
2) Relay Node Placement for Connectivity Restoration in Wireless Sensor Networks Using Genetic Algorithms
Hanieh Tarbiat Khosrowshahi, Mojtaba Shakeri
3) Thermalytix: An Advanced Artificial Intelligence Based Solution for Non-Contact Breast Screening
S. Sudhakar, Geetha Manjunath, Siva Teja Kakileti, Himanshu Madhu
4) Knowledge Reactor: A Contextual Computing Work in Progress for Eldercare
Scott N. Gerard, Aliza Heching, Susann M. Keohane, Samuel S. Adams
5) Socio-Technical Systems: Transforming Theory into Practice
L. Ngowi, N. H. Mvungi
6) A Numerical Description of a Fibre Reinforced Concrete Using a Genetic Algorithm
Henrik L. Funke, Lars Ulke-Winter, Sandra Gelbrich, Lothar Kroll
7) Unstructured-Data Content Search Based on Optimized EEG Signal Processing and Multi-Objective Feature Extraction
Qais M. Yousef, Yasmeen A. Alshaer
8) Systems Engineering Management Using Transdisciplinary Quality System Development Lifecycle Model
Mohamed Asaad Abdelrazek, Amir Taher El-Sheikh, M. Zayan, A.M. Elhady
9) An Ontology Model for Systems Engineering Derived from ISO/IEC/IEEE 15288: 2015: Systems and Software Engineering - System Life Cycle Processes
Lan Yang, Kathryn Cormican, Ming Yu
10) Experimental Set-Up for Investigation of Fault Diagnosis of a Centrifugal Pump
Maamar Ali Saud Al Tobi, Geraint Bevan, K. P. Ramachandran, Peter Wallace, David Harrison
11) Sensitivity Analysis during the Optimization Process Using Genetic Algorithms
M. A. Rubio, A. Urquia
12) Hybrid Adaptive Modeling to Enhance Robustness of Real-Time Optimization
Hussain Syed Asad, Richard Kwok Kit Yuen, Gongsheng Huang
13) A Cross-Cultural Approach for Communication with Biological and Non-Biological Intelligences
Thomas Schalow
14) A Holistic Approach for Technical Product Optimization
H. Lang, M. Bader, A. Buchroithner
15) Using Information Theory to Observe Natural Intelligence and Artificial Intelligence
Lipeng Zhang, Limei Li, Yanming Pearl Zhang

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