- An international forum to the latest advancement and explore the future directions in Artificial Intelligence and Machine Learning.
- An opportunity for Academia, Research Scholar and Industry Person.
- An opportunity to present and share their research ideas.
1. Aim & Objectives
2. Target audience
National and International Academia, Research Scholar and Industry Person.
3. Area of Focus
Here will give details of different areas of Artificial Intelligence | |
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Artificial Intelligence in modeling and simulation Agent-based systems Ant colony optimization Approximate reasoning Artificial immune systems Artificial Intelligence in scheduling and optimization Artificial life Bioinformatics and computational biology Brain-machine interfaces Cognitive systems and applications Differential Evolution Evolutionary data mining Evolutionary design Evolutionary scheduling Natural language processing Neural Network Theory and Architectures Particle swarm optimization Algorithms Bioinformatics and Scientific Computing Compilers and Interpreters High Performance Computing Digital Signal and Image Processing Reality Mobile Computing |
Digital System and Logic Designbr Artificial Intelligencebr Distributed and Parallel Processingbr Automated Software Engineeringbr Distributed Systemsbr Bio-informaticsbr E-commerce and E-governancebr Computer Graphics and Computer Modelingbr Data Encryptionbr Technology Managementbr Data Miningbr Computational Intelligencebr Theoretical Computer Sciencebr Database Systemsbr Ubiquitous Computingbr Digital Librarybr Wireless Communication and Mobile Computingbr Computer Visionbr Discrete Mathematical Structurebr Event Driven Programmingbr Biomedical Engineeringbr Expert Systems br Wireless Sensor Networksbr Knowledge Data Engineeringbr Multimedia Applicationsbr Computer Graphics & Virtualbr |
Here will give details of different areas of Machine Learning | |
Learning Problems Supervised Learning Unsupervised Learning Reinforcement Learning Hybrid Learning Problems Semi-Supervised Learning Self-Supervised Learning Multi-Instance Learning Statistical Inference Inductive Learning Deductive Inference Transductive Learning Practical Business Uses of Machine Learning |
Learning Techniques Multi-Task Learning Active Learning Online Learning Transfer Learning Ensemble Learning List of Common Algorithms |
4. Schedule for online Presentation
Day 1: 25th August 2021 | |
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8:30 am to 10:00 am | Registration |
10:00 am to 10:15 am | Inauguration function |
10:15 am to 11:45 pm | Session –I by Resource Person: Dr. Khaleel Hussain, Malaysia |
12:00 pm to 1:15 pm | Seesion-II Paper Presentation |
1:15 pm to 2:30 pm | Lunch break |
2:30 pm to 4:00 pm | Session-III by Dr .R. SARAVANAKUMAR Associate Professor Department of Computer Science & Engineering Dayananda Sagar Academy of Technology & Management Bangalore, Karnataka |
4:00 pm to 5:00 pm | Session-IV Paper Presentation |
Day 2: 26th August 2021 | |
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10:00 am to 11:30 am | Session –I by Resource Person Dr. Md Ali Kadampur Asst Prof. College of Engineering, Al Imam Mohammad Ibn Saud Isamic University, Riyadh |
11:30 am to 1:00 pm | Session –II Paper Presentation |
1:00 pm to 2:00 pm | Lunch break |
2:00 pm to 3:30 pm | Session-III Dr. K Paramesha Professor, Dept. of CSE, VVCE, Mysuru |
3:30 pm to 4:30 pm | Session-IV Paper Presentation |
4:30 pm to 5:00 pm | Valedictory function |
5. Outcomes
The conference provides an international forum to discuss and share the latest advancement in Artificial Intelligence & Machine Learning.