CISIM 2019: 18th International Conference on Computer Information Systems and Industrial Management Applications Belgrade Metropolitan University Belgrade, Serbia, September 19-21, 2019 |
Conference website | http://cisim2019.wi.pb.edu.pl/ |
Submission link | https://easychair.org/conferences/?conf=cisim2019 |
Abstract registration deadline | April 1, 2019 |
Submission deadline | April 1, 2019 |
This conference aims to bring many important research streams together. Computer Information Systems and their applications in Image Analysis and Processing, Biometrics in both behavioral and physiological categories comprise researches in Information Processing Systems and Human Identification and Recognition Techniques. Therefore, researchers are encouraged to submit their contributions in both theoretical and practical aspects of the following Topics.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. Authors are invited to submit technical papers describing original research. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this symposium. Accepted papers, regardless the way of their presentation (oral or poster) will be published in the conference proceedings, in the Lecture Notes in Computer Science series, by SpringerVerlag. Authors will be required to sign a copyright release.
Research papers (~12 pages) in Springer LNCS style should be submitted through the EasyChair system: https://easychair.org/conferences/?conf=cisim2019
List of Topics
-
- Biometrics Security and Multi-media
Preprocessing Methods, Feature Extraction, Face Description and Identification, Retinal and Iris, Tongue, DNA and EEG Biometrics, Multi-modal Biometric Methods, Medical Analysis, Border Control, Biometric Cryptosystems, Fingerprints, Hand Palm and Hand Geometry, Speech and Speaker Verification and all other topics on Human Description, Classification, Identification and Recognition; Kansei Engineering, Affective Systems and Human Emotion Measuring Techniques, Deep Learning in Biometrics tools
- Computer Information Systems: Signal & Image Analysis and Processing, Computer Graphics and Vision, Object Classification and Recognition, Artificial Intelligence, Ambient Intelligence, Ubiquitous Systems, Mobile and Pervasive Computing, Security, Mobile Ad-hoc and Sensor Network Service-oriented Framework. Middleware Network and Application Hardware, Quality of Services (QoS), Medical, Multimedia
- Geoinformation Science and Technologies :Geovisualization, Spatial Data Analysis, Geoapplication Development, Geoinformation Science and Technologies, Geocomputation.
-
Machine learning and High Performance Computing
Classification, Clustering, Deep Learning, SVM, Bayesian Models, Code Optimization, Large Scale Data Analysis, Cloud and Grid Computing
- Industrial Management and other Applications: Commerce, Engineering Economy and Cost Analysis, Engineering Education and Training, Global Manufacturing and Management, Human Factors, Information Processing and Engineering, Intelligent Systems, Manufacturing Systems, Operations Research, Production Planning and Control, Project Management, Quality Control and Management, Reliability and Maintenance Engineering, Safety, Security and Risk Management, Service Innovation and Management, Supply Chain Management, Systems Modeling and Simulation, Technology and Knowledge Management, Big Data Analytics, Big Data Architectures, Distributed Big Data Analytics, Semantic technologies (Knowledge Graphs), Visualisation, Open Data.
Contact
All questions about submissions should be emailed to
1. k.saeed@pb.edu.pl
2. rchaki@ieee.org