Call for Papers

• Classification and regression Problems
• Neural Networks and Deep Learning Methods
• Artificial neural network and Application in Health Sciences
• Intelligent decision support system in Health Sciences.
• Variational Auto-Encoder
• Generative Adversarial Network and Object Detection
• Current Practices on Data Mining
• Pattern Recognition and Computer Vision
• Natural Language Processing (NLP)
• Intelligent Systems
• Deep Neural Networks
• Deep Learning for Health Information Mining
• Deep Convolutional Network (DNN) Learning Model for Brain Tumor Detection
• Communication Network Architectures
• Communication Network Protocols
• Network Services and Applications

• Discrete Algorithms and Discrete Modeling
• AI-Based Software Engineering,
• Bioinformatics and Health Informatics
• Extreme Learning Methods (ELM)
• Visualization and Explainable Deep Neural Network
• Machine Learning algorithms to support green networking
• Data-driven methodologies tailored to Internet traffic classification
• Machine learning approaches to QoE monitoring of encrypted video traffic.
• Reinforcement learning enables autonomous computer networks operation
• Data-driven and artificial intelligent algorithms for network operation and management
• Recommendations for people, analysts, and policymakers in network applications
• Ethical issues of data collection, storage, and exchange in network security and privacy.