Special Session Proposal-1
Title: Recent Advancements in Machine Learning & Deep Learning-based Applications
Objective: Machine learning will help people to manage the increasingly complex world we are forced to navigate. It will empower individuals to not be overwhelmed. AI minimizes human error in
many contexts. AI is more than robot soldiers, autonomous cars, or digital assistants with quirky personalities. One area in which artificial intelligence will become more sophisticated will be in its
ability to enrich the quality of life so that the current age of work holism will transition into a society where leisure, the arts, entertainment, and culture are able to enhance the well-being of society in
developed countries and solve issues of water production, food growth/distribution and basic health provision in developing countries. The use of AI systems will continue to expand, with the greatest
growth coming from systems that augment and complement human capabilities and decision- making. AI will enhance search to create interactive reasoning and analytical systems. Now a day’s
machine learning has been widely adopted and introduced in the areas of engineering, manufacturing, weather monitoring, and transportation. The objective of this special session is to concentrate on all aspects and future research directions related to neural networks and deep
learning-based methods for smart systems.
Tracks: Topics of interest include but are not limited to:
Big data capture, representation, and analytics.
Machine Learning Algorithms
Computer-human interaction.
Pattern Recognition: detection, classification, indexing.
Segmentation, grouping, and shape representation
Learning in knowledge-intensive systems
Learning Methods and analysis
Supervised Machine Learning
Unsupervised Machine Learning
Deep Learning
Neural Networks
Reinforcement Learning
Predictive Learning
Learning Problems
Computer Vision
Bayesian Network
Data Mining
