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ICISN 2022 : International Conference on Intelligent Systems & Networks

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Link: https://icisn.com/
 
When Mar 19, 2022 - Mar 20, 2022
Where Hanoi city, Vietnam
Submission Deadline Nov 10, 2021
Notification Due Dec 10, 2021
Final Version Due Dec 25, 2021
Categories    network   signal processing   IOT   image
 

Call For Papers

Swinburne University of Technology, Hanoi, Viet Nam is organizing two days The International Conference on Intelligent Systems & Networks (ICISN 2022) on 19-20 March 2022. The growing demand for networks, various generation mobility, security benchmarks, and providing the Intelligent secure System to customers is the demand of time. The network is indeed greater in demand and thus it’s the hour of need to make a broad discussion on this domain. In the past couple of years, amazing developments can be seen from 2G to 5G, Security, and wire to wireless developments. The conference will focus on the Intelligent Systems and Networks along with then-current dependency in line with security and the latest technologies.

The two days international technical forum will allow you to interact with numbers of National and International delegates. The ICISN 2022 offers a rich program, including keynote speeches, regular presentations, workshops, academic visiting, or tour. We invite your contribution and participation to make it a successful event. It brings together experts from industry, governments, and academia, experienced in engineering, design, and research.

The conference proceeding is indexed in SCOPUS
2021 Proceeding is available at https://lnkd.in/gEpKEnH

We would like to invite you to contribute your original work on topics in the following, but not limited to, tracks and special sessions:

***Foundations of Computer Science

Theory of computation
Algorithms and Data Structures
Programming language theory
Applied computer science
Computer security and cryptography
Computational science
***Computational Intelligence Language and Speech Processing

Soft computing
Computer vision
Bioinformatics
Knowledge discovery
Data mining
Machine learning & Deep learning
Computational biology
Agent-based systems
Semantic web Information extraction and retrieval
***Software Engineering & Software Development Methods

Software system modeling
Component-based, model-driven
Grid-based, automated software engineering
Open source software development
Software process
Testing and Verification
Multi-core programming
Real-time systems
Web services
Human-computer interface and interaction
E-Systems and Information Management
***Smart Electronic Systems

Internet of Things and Sensor Systems
Embedded Systems
Automation, Robotics and Control
Consumer and Automotive Electronics
AI Application Systems
***Distributed Computing and Communication Networks

Big data and Analysis
Multimedia and Social Computing
Network architectures
Network protocols and security
Parallel and distributed computing
Grid computing
Fog, Edge and Cloud computing
Mobile and ubiquitous computing
Quantum Communications Network
Security Information & Coding Theory
Communication Quality
Reliability & Modelling
Wireless and mobile networks
Machine learning for Digital Communications
Deep learning and Applications in Communications Systems
Optical Networking & Satellite Communications
High-Speed Networking
Network Operations & Management
***Signal Processing

Signal, Image and Video Processing
Signal Processing for Communications
Signal Processing for Big Data
Signal Processing for the IoTs
Bio-Imaging and Biomedical Signal Processing
Telemedical and E-hospital
Biomechanics
***Microwave Engineering, Antennas, and Propagation

Microwave Theory & Techniques
RF, Microwave Circuits, Systems & Applications
Millimeter-Wave, THz Technologies, and Systems
Power Amplifier Devices and Circuits
Antenna Systems
Integrated Antennas, Active Adaptive and Smart Antennas
Digital Beamforming, Related Circuits, and Components
Electromagnetic Scattering, Channel Measurement, and Propagation
Computational Methods for Wave Propagation


CONTACT US
Mail : icisnconf@gmail.com
Call : +84.936489333

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