|
|
|
° Seminario Internacional “Hablando de Cibercrimen desde de Prevención, Capacitación y Cooperación Internacional”
June 4th, 2020 
Daniela Lopez de Luise On-Site and Remote: INTELLI 2020 || October 18 – 22, 2020 – Porto, Portugal
June 3rd, 2020 Daniela Lopez de Luise With everyone's health and safety in mind, we are adapting some of the ways in which IARIA conferences are organized:
1. The submission deadlines (and other dates such as notification and camera ready) are rather flexible in order to account for possibly limited author access to the academic/industrial premises where the research work is taking place.
2. During the conference, authors will be able to present their work via pre-recorded videos and/or conference calls (in case they opt to avoid travel).
3. Selection of awarded papers and invitations for expanded versions for IARIA journals are not affected by the presentation method (pre recorded or in person)
We wish you health and safety during these times.
That being said, note that the new submission deadline is July 9.
Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:
– INTELLI 2020, The Ninth International Conference on Intelligent Systems and Applications
Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org
=================
============== INTELLI 2020 | Call for Papers ===============
CALL FOR PAPERS, TUTORIALS, PANELS
INTELLI 2020, The Ninth International Conference on Intelligent Systems and Applications
Main page: https://www.iaria.org/conferences2020/INTELLI20.html
Submission: https://www.iaria.org/conferences2020/SubmitINTELLI20.html
Deadlines
Submission: July 9, 2020
Notification: August 9, 2020
Registration: August 23, 2020
Camera-ready: September 3, 2020
Call for papers: https://www.iaria.org/conferences2020/CfPINTELLI20.html
Committees: https://www.iaria.org/conferences2020/ComINTELLI20.html
Topics:
Fundamentals in intelligent systems and applications
Intelligence by design
Intelligent distributed systems
Context-aware intelligent systems
Symbolic intelligence
Collective intelligence
Ambient Intelligence
Cooperative intelligent applications
Formal ontology and semantics
Persuasive intelligence
Bio-inspired intelligence
Cognitive systems and applications
Real-time intelligence
Hybrid artificial intelligent systems
Heuristic search
Automated planning
Adaptive problem solving
New production paradigms and concepts
Industry 4.0 in a global context
Industry 4.0 and Internet of Things (IoT) approaches
Smart factory and Industry 4.0
Manufacturing-oriented Big Data
Industry 4.0 Data analytics
Cyber-manufacturing systems
Life cycle sustainability of production systems
3D/4D printing production-oriented
Cooperation and communication in manufacturing environments
Industrial robotics and intelligent manufacturing
New computing and knowledge paradigms in manufacturing environments
Flexible manufacturing systems
Intelligent signal processing
Intelligent data analysis
Web intelligence
IoT architecture for intelligent environments
Intelligent web search engines
Intelligent natural language systems and applications
Intelligent information extraction
Intelligent perception and intelligent machines
Intelligent agents
Patterns in intelligent applications
Stability in intelligent systems
Ethical evaluation of intelligent systems
Intelligent communication networks
Cognitive intelligence in vehicular networks
Guidance systems
Intelligent health systems
Indoor special-awareness
Intelligent systems for software computing
Sensor-based intelligent systems
Intelligent systems for wireless applications
Intelligent transport systems
Intelligent applications for disaster management
Intelligence in medical decision applications
Intelligent forecasting applications
Intelligent human-computer interaction systems
Intelligent multimedia
Intelligent recommenders
Intelligent security systems and applications
Intelligent robotics
Intelligent embedded systems
RFID and BLE technologies in intelligent systems
Intelligent sensors and sensing applications
Mobility intelligence and semantic applications
Case studies and trials of intelligent solutions
Join virtual BICT 2020 for free from the comfort of your home! 12th edition on Bio-inspired Information and Communications Technologies (July 7-8, 2020)
June 3rd, 2020 Daniela Lopez de Luise
|
Focus on Acquired Haemophilia & CHWI
June 3rd, 2020 Daniela Lopez de Luise 
.jpg)
Invitation to “Programming short course and workshop on Deep Learning and Computer Vision for Autonomous Systems 2020”, 19-21th August 2020
June 2nd, 2020 Daniela Lopez de Luise Dear Autonomous Systems engineers, scientists, and enthusiasts,
you are welcomed to register in the 2020 'Programming short course and workshop on Deep Learning and Computer Vision for Autonomous Systems', with applications on various autonomous systems, notably drones. It will take place on 19-21th August 2020 as an e-course hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of lectures and programming workshops delivered through a tele-education platform.
Due to the special COVID-19 circumstances, the course is scheduled to take place primarily as web course (default mode). Remote participation will be available via teleconferencing.
Students will be helped on line for executing the programming workshops while at home.
A physical meeting (second short course mode) is also planned for the same dates, provided that: a) AUTH and national regulations allow it and b) there are sufficient physical attendees.
Greece has had an excellent COVID-19 epidemic record (one of the best worldwide) and our University had no reported COVID-19 cases, whatsoever. We intend to take all appropriate measures to ensure this record in the future as well.
The programming short course consists of a good mix of lectures and programming workshops (hands-on exercises) aiming at developing registrants’ programming skills for
Deep Learning and Computer Vision, with focus on autonomous systems planning/control and imaging/perception. It is organized three parts (one per day):
1) Part A aims at deep neural network programming (Convolutional NN and their use in target/object detection, PyTorch, Tensorflow).
2) Part B aims at computer vision programming (target tracking and localization, GPU architectures and programming, CUDA, OpenCV programming, drone mission simulations).
3) Part C aims at autonomous systems perception and programming (ROS, Gazebo, AIRSIM).
You can use the following link for course registration: http://icarus.csd.auth.gr/autonomous-systems-2020/
For questions, please contact: Ioanna Koroni <koroniioanna@csd.auth.gr>
The short course is sponsored by the European Horizon2020 R&D project Aerial Core. It is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Coordination of the European Horizon2020 R&D project Multidrone, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Chair of the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top Computer Science and Electronics Scientist internationally by Guide2research (2018).
The lectures and programming sessions will be delivered by very qualified Postdoc/PhD researchers and Professors, with a long R&D record in drone and autonomous systems programming from University of Seville (Robotics, Vision and Control Research Group) and AIIA Lab, Aristotle University of Thessaloniki.
Thessaloniki is a very pleasant city at the end of August, with vibrant night-life, very close to world-class resorts in Chalkidiki peninsula.
Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally and its campus is at the city center.
Course registrants may also want to register (if so desired) in the back2back short course on ‘Short course on Deep Learning and Computer Vision for Autonomous Systems 2020. Application focus on autonomous/self-driving cars', 17-18th August 2020: http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2020/
Relevant links:
1. H2020 project Aerial-Core: https://aerial-core.eu/
2. AIIA Lab: http://www.aiia.csd.auth.gr/
3. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el
Description of ‘Programming short course and workshop on Deep Learning and Computer Vision for Autonomous Systems’, 19-21th August 2020.
Part A (8 hours), Deep learning sample topic list
- Deep neural networks. Convolutional NNs
- Deep learning for target detection
- PyTorch basics
- Target detection with PyTorch
- Object oriented Tensorflow in Google Colab
Part B (8 hours), Computer vision sample topic list
- 2D target tracking
- Parallel GPU and multi-core CPU architectures. GPU programming
- CUDA programming
- OpenCV programming for object tracking
Part C (8 hours), Drone planning/control sample topic list
- Drone mission simulations.
- Drone perception and estimation.
- ROS UAL Abstraction Layer for drone applications.
- Drone perception with ROS.
Sincerely yours
Prof. I. Pitas
Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)
Aristotle University of Thessaloniki, Greece