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6th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2024
06-08 December 2024
 
Conference Proceedings
ALL ACCEPTED & PRESENTED papers will be reviwed for possible publication in Springer book series.
A virtual meeting platform may be made available for all registered authors who intend to submit their work but are unable to attend the conference.

National Institute of Technology, Kurukshetra

Emlyon Business School, France

CSUSB, USA

About Conference

The proposed conference ICDLAIR 2024 represents key ingredients for the 5G. The extensive application of AI and DL is dramatically changing products and services, with a large impact on labour, economy and society at all. ICDLAIR 2024, organized by NIT Kurukshetra, India in collaboration with International Association of Academicians (IAASSE),  Emlyon Business School France and CSUSB USA, aims at collecting scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics, covering the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.

Through sharing and networking, ICDLAIR 2024 will provide an opportunity for researchers, practitioners and educators to exchange research evidence, practical experiences and innovative ideas on issues related to the Conference theme. ICDLAIR 2024 intends to publish the post-conference work in order to give authors the opportunity to collect feedback during the presentation.

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Important Dates

Special Session Proposals

July 31, 2024

Submission (CLOSED)

November 10, 2024

Acceptance Notification

November 25, 2024

Early Bird Registration

November 30, 2024

Oral Presentation of selected works (Conference)

December 06-08, 2024

Camera Ready Papers

January 05, 2025

Publication (Tentative)

September 2025

Indexing

Post conference, proceedings will be made available to the following indexing services for possible inclusion:

Scopus
dblp - computer science bibliography
Clarivate Analytics
google scholar

Conference Tracks
Artificial Intelligence & Applications
  • Emotional Computing
  • Explainable AI, Fuzzy Logic
  • Virtual Assistants
  • Targeted Advertisements
  • Graphical models and applications
  • Swarm Intelligence, Rough Sets Theory
  • Artificial neural networks, Fuzzy Logic
  • Brain Machine Interface
  • Neuroscience and Cognitive Sciences, Pattern Recognition and Classification
  • Reinforcement Learning
  • Support Vector Machine and kernel methods
  • Genetic Algorithms and Evolutionary Computing 
  • Neuroscience and Cognitive Sciences
Deep Learning
  • Foundations
  • Applications of deep learning in various engineering streams
  • Neural information processing systems and architectures
  • Training schemes, GPU computation and paradigms
  • GANs and other neural generative methods
  • Deep Belief Networks and Statistical Learning
  • Advance Optimization techniques
  • Autonomous Computing
  • Extreme Learning Machines
  • Hybrid Intelligent Systems
Robotics
  • Human robot interaction and communication
  • Cognitive, developmental and evolutionary robotics
  • Sensor and Actuator Networks
  • Fault Diagnosis
  • Space and Underwater Robotics
  • Simulation and Modeling
  • Bio-inspired robotics
  • Cable robots, cognitive robotics
  • Cognitive Approach for Robotics
  • Collaborative robotics
  • Collective and Social Robots
  • CHumanoid Robots
  • Machine to Machine (M2M) / Devices-to-Devices communications
  • Automotive, Intelligent Robots
Personalization and Recommendations
  • User modelling
  • Domain Specific Recommendations
  • Recommender Systems Evaluation and Metrics
  • Privacy, Fairness and Bias in Recommendations
  • Deep Learning for Recommender Systems
  • Recommendation in Advertising, Promotions, Intent and Search
  • Recent approaches for recommendations such as Sequential, Session-based Recommendation, etc.
AI Advancements for Image Processing and Pattern Recognition
  • Machine Learning for Image Processing
  • Image Segmentation Techniques
  • Machine Learning for Object Recognition and Tracking
  • AI for remote sensing and satellite imagery
  • 3D Image Processing and Reconstruction
  • AI-driven Video and Image Compression
  • AI in Medical Image Analysis
  • Pattern Recognition in Time Series and Sequential Data
  • Quantum-based machine learning for image analysis
  • AI Enhanced Image Forensics
  • Multispectral and Hyperspectral Image Analysis
  • AI with Image processing for Artistic and Creative Applications
  • AI in Multimodal Image processing
  • Underwater Image processing
  • Historical Image Analysis and Restoration
AI Applications and Services in IOT
  • Smart Cities, Smart Home, and IoT-based Building Automation
  • Smart Agriculture, Retails and Water Management
  • Smart factories and Industry 4.0
  • e-Health, Assisted Living and e-Wellness
  • Smart Grid, Energy Management
  • Collaborative Applications and Systems
  • Big data and IoT Data Analytics
  • Semantic Technologies, Collective Intelligence
  • Cognitive and Reasoning about Things and Smart Objects
  • Mobile Cloud Computing (MCC) and IoT
  • IoT Privacy and Security Concerns
  • Wireless Sensor Network for IoT Security
  • Cryptography, Key Management, Authentication and Authorization for IoT
  • IoT Forensic Science
  • Communication Security in IoT
Conference is also organizing various special sessions/workshops. For details Click here