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Hybrid Event

4th - 5th June 2026 | Rome, Italy

International Conference on Artificial Neural Networks and Deep Learning (ICANNDL - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICANNDL) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Computer Science Engineering, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

01
Deep learning architectures and frameworks
02
Neural networks for image processing
03
Applications of deep learning in healthcare
04
Natural language processing with deep learning
05
Generative adversarial networks and applications
06
Transfer learning in deep neural networks
07
Ethics in artificial intelligence and deep learning
08
Deep learning for autonomous systems
09
Reinforcement learning and its applications
10
Challenges in training deep neural networks
11
Deep learning for big data analytics
12
Explainable AI in deep learning models
13
Deep learning for time series forecasting
14
Applications of deep learning in finance
15
Future trends in neural network research
16
Deep learning for robotics and automation
17
Neural network optimization techniques
18
Deep learning in computer vision applications
19
Impact of quantum computing on deep learning
20
Real-world applications of deep learning

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.