Hybrid Conferencee

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

4th - 5th September 2026 | Lae, Papua New Guinea
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Lae. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Lae event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Lae conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Lae, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Lae."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICANNDL aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Computer Science Engineering, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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