International Conference on Artificial Neural Networks and Deep Learning ICANNDL

Call For Papers

The ICANNDL bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Computer Science Engineering , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Deep learning architectures and frameworks

Neural networks for image processing

Applications of deep learning in healthcare

Natural language processing with deep learning

Generative adversarial networks and applications

Transfer learning in deep neural networks

Ethics in artificial intelligence and deep learning

Deep learning for autonomous systems

Reinforcement learning and its applications

Challenges in training deep neural networks

Deep learning for big data analytics

Explainable AI in deep learning models

Deep learning for time series forecasting

Applications of deep learning in finance

Future trends in neural network research

Deep learning for robotics and automation

Neural network optimization techniques

Deep learning in computer vision applications

Impact of quantum computing on deep learning

Real-world applications of deep learning

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event