International conference 

on

Artificial intElligence

&

Machine learning

(ICAIML

Exploring the Impact, Advancement, Techniques and Applications

2020

04-05 September

Call for Papers

 

Authors are invited to submit their original, unpublished and quality research papers (full length manuscripts, not a review or survey paper) in the All subareas of AI and machine learning but not limited to:

 

  • Modeling, Algorithms and Simulations
  • Information Security and Cryptology
  • Machine learning for Cyber security
  • Network security
  • IoT security
  • Intelligent Electrical and Electronic Systems
  • Problem Solving
  • Scientific Computing
  • Computational Sciences (Biology, Chemistry, mathematics, physics, forensics, etc.)
  • High Performance Computing
  • Network Analysis
  • Computer Architecture
  • Visualization and Virtual Reality as Applied to Computational Science
  • Architectures and computation models, compiler, hardware and OS issues
  • Large Scale Scientific Instruments
  • Memory system, I/O, tools, programming environment and language supports
  • Application-specific processors and devices
  • Business Applications
  • Component and binding models
  • Embedded computing education
  • Embedded hardware support
  • Embedded software
  • Embedded system architecture
  • Hardware and software co-design
  • Industrial practices and benchmark suites
  • Integration with business logic
  • Integration with SOA
  • Middleware
  • Networked Embedded Systems
  • Policy-based management
  • Programming abstractions
  • Real-time systems
  • Recent Trends
  • Service-Oriented architectures
  • Testing techniques
  • Intelligent and Interactive Technologies in an Educational Context
  • Data Mining and Machine Learning
  • Semantic Web Technologies
  • Multi-agent Architectures
  • Tangible Interfaces, Wearables and Augmented Reality
  • Modelling and Representation
  • Ontological Modelling
  • Modelling Motivation, Metacognition, and Affective Aspects of Learning
  • Computational Thinking and Model-building
  • Models of Teaching and Learning
  • Design and formative studies of AIED system
  • Intelligent Tutoring and Scaffolding
  • Domain-specific Learning Applications
  • Artificial Intelligence
  • AI Algorithms
  • Artificial Intelligence Tools & Applications
  • Automatic Control
  • Bioinformatics
  • Natural Language Processing
  • CAD Design & Testing
  • Data Mining and Machine Learning Tools
  • Fuzzy Logic
  • Heuristic and AI Planning Strategies and Tools
  • Computational Theories of Learning
  • Hybrid Intelligent Systems
  • Information Retrieval
  • Intelligent System Architectures
  • Knowledge Representation
  • Knowledge-based Systems
  • Mechatronics
  • Multimedia & Cognitive Informatics
  • Neural Networks
  • Parallel Processing
  • Pattern Recognition
  • Pervasive Computing and Ambient Intelligence
  • Programming Languages
  • Reasoning and Evolution
  • Recent Trends and Developments
  • Robotics
  • Soft Computing and Applications
  • Fuzzy Systems
  • Neural Networks
  • Machine Learning
  • Probabilistic Reasoning
  • Evolutionary Computing
  • Pattern Recognition
  • Hybrid Intelligent Systems
  • Software Agents
  • Morphic Computing
  • Image Processing
  • E-commerce, E-medicine
  • Rough Sets
  • Symbolic Machine Learning
  • Wavelet
  • Signal or Image Processing
  • Vision Recognition
  • Biomedical Engineering
  • Telecommunications
  • Reactive Distributed AI
  • Nano & Micro-systems
  • Data Visualization
  • Semantic Web Techniques and Technologies
  • Soft Computing Theory and Applications
  • Software & Hardware Architectures
  • Web Intelligence Applications & Search
  • Techniques & Methods
  • Applications

Plagiarism Policy

The paper prior to submission should be checked for plagiarism from licensed plagiarism softwares like Turnitin/ iThenticate etc. The similarity content should not exceed 10% (in any case either self contents or others). Further, you have to strictly implement the following ethical guidelines for publication:

  • Any form of self-plagiarism or plagiarism from others' work(s) should not be there in an article. 
  • If any model / concept / figure / table / data / conclusive comment by any previously published work is used in your article, you should properly cite a reference to the original work.
  • Also language of explaining it should not be same as language of the work from which you have adopted it. 
  • If you are using any copyrighted material, you should acquire prior permission from the copyright holder. 

Inviting Special Session Proposals, Accepting Entries in ICAIML 2020 and ACAIRS Awards

Telegram Link for ICAIML 2020 (Participant Only): https://t.me/joinchat/Qr0XtBjSFP2L-noDSQP93Q