It is planned to publish the peer reviewed and selected papers of 5th IDEA-2k24(28-29 June 2024, Bhopal) by Springer in their prestigious “Lecture Notes in Electrical Engineering” series ( For detailed instructions for author and editors of conference proceedings, kindly visit the following link: Selected papers from the conference will be published by Springer as a proceedings book volume. Springer will conduct quality checks on the accepted papers and only papers that pass these checks will be published. Springer Nature does not charge any money for publication of Non-Open Access content. Abstracts/extended abstracts and short papers (less than 4 pages) are not considered for publication

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
Session chair
Dr. Manish Gupta, Assistant Professor-III, Department of CSE
Amity University Madhya Pradesh, India
Email :
Mobile: +91-9009794098

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