Part 1: Artificial Intelligence for Sustainability
Chapter 1. Detection of Human Activities in Wildlands to prevent the Occurrence of Wildfires using Deep Learning and Remote Sensing
Chapter 2. The evolution of the traffic congestion prediction and AI application
Chapter 3. Tomato Plant Disease Detection And Classi cation Using Convolutional Neural Network Architectures Technologies
Chapter 4. Generative and Autoencoder Models for Large-Scale Mutivariate Unsupervised Anomaly Detection
Chapter 5. Automatic Spatio-Temporal Deep Learning Based Approach for Cardiac Cine MRI Segmentation
Chapter 6. Skin Detection Based on Convolutional Neural Network
Chapter 7. CRAN: An Hybrid CNN-RNN Attention-Based Model for Arabic Machine Translation
Chapter 8. Impact of the CNN patch size in the Writer Identification
Part 2: Network & Cloud Technologies
Chapter 9. Optimization of a multi-criteria cognitive radio user through autonomous learning
Chapter 10. MmRPL: QoS aware routing for Internet of Multimed Things
Chapter 11. Channel Estimation in Massive MIMO Systems for Spatially Correlated Channels with Pilot Contamination
Chapter 12. On Channel Estimation of UpLink TDD Massive MIMO Systems through different Pilot Structures
Chapter 13. NarrowBand-IoT and eMTC towards Massive MTC: Performance evaluation and comparison for 5G mMTC
Chapter 14. Integrating Business Intelligence with Cloud Computing: State of the art and Fundamental Concepts
Chapter 15. Distributed Architecture for Interoperable Signaling Interlocking.