Submission
The authors are invited to submit original and unpublished work and not currently submitted for consideration elsewhere.
Manuscripts should be between 8 and 15 pages using the Springer template (Click here for more information), including figures,
tables, and references. For each accepted paper, at least one author must be fully registered.
An oral presentation at the conference is strictly required..
Click
here to submit a new paper.
Each paper will be reviewed by at least three regular PC members or two senior PC members. The acceptance decisions will take into account paper novelty, technical depth, elegance, practical or theoretical impact, and presentation.
Topics
Topics for the conference include, but are not limited to:
Computational Intelligence & Big Data
Big Data Analytics in Bioinformatics, Government, Public Sector and Society in General
Big data analytics, visualization, modelling and interpretation
Big Data applications: Multimedia, Banking and Securities, Healthcare Providers, Education
Manufacturing and Natural Resources, Insurance, logistics, Energy and Utilities
Data mining, graph mining and data science
Hardware and software infrastructure for Big Data
Distributed and parallel computing in big data
Data warehouses, Data Lake and cloud architectures
Machine Learning and its applications
Computational Learning Theory, Transfer Learning and Reinforcement Learning
Artificial Neural Networks Theory and models (ANN, RNN, CNN, Graphical NN, Generative Adversarial Network ….)
Hyper-parameters tuning for Machine Learning algorithms
Meta-heuristics optimisation and its applications
Information and knowledge management
Statistical inference and probability theory for data science
Social Web Analytics and its applications
Natural Language Processing and its applications
Computer vision and its applications
Cloud computing and service data analysis
Cloud and grid computing for Big Data
Agent Based Systems and collaborative learning
Fuzzy systems
Network Technologies & IoT
Internet of Things Networks
Industrial Internet of Things Architectures
Industrial IoT Technologies for Flexible Production Lines
Smart Objects for IoT-Applications (Drones, Robots, Autonomous Guided Vehicles)
Multi-Sensor Systems for Automated Data Collection in Industrial Environments
Distributed environment and High performance computing
Smart Cities, Smart Home and Smart tourism
Smart Electric Grids and Renewable Energy
Blockchain in banking, Smart contracts, IoT, Healthcare, Logistics and Government areas.
Design and Implementation of Cyber-Physical Production Systems
Wireless security systems in general
Cybersecurity in Industrial Internet of Things Environments
Performance Analysis and Evaluation of Industrial Internet of Things Systems
Interoperability of heterogeneous wireless networks of different standards
Mobile computing Wireless and cellular networks
Multimedia communications and Network architectures and protocols
Radio communication systems and Cognitive Radio Networks
NTFS and RFID systems Internet of Things services
Signal processing and Survey papers on wireless communication
SDN concepts, architecture and APIs.