Call For Papers
The ICANNIT 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 Information Technology, 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:
- Neural network architectures and applications
- Deep learning advancements in ANNs
- Neural networks for image recognition
- Recurrent neural networks in NLP
- Neural networks in healthcare diagnostics
- Training techniques for neural networks
- Neural network optimization methods
- Transfer learning in neural networks
- Neural networks for time series forecasting
- Ethics in artificial neural networks
- Neural networks in autonomous systems
- Applications of GANs in technology
- Neural networks for anomaly detection
- Explainable AI in neural networks
- Neural networks for financial predictions
- Neural networks in robotics
- Challenges in neural network deployment
- Future trends in neural networks
- Neural networks for social impact
- Collaborative neural network research
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.