Advanced Intelligent Systems for Sustainable Development (AI2SD'2019)

In this book, the authors explore technological advances in the fields of multimedia processing and mathematical modeling by highlighting the latest research in this field, discussed at the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), held on July 08-11, 2019 in Marrakech, Morocco.

In addition to advances in architectures, networking and system support tools for multimedia and hypermedia, the book examines the role of mathematical modeling as a tool for the standardization and formulation of design, management, decision-making and optimization problems, and presents various innovative works involving advanced intelligent systems based on appropriate mathematical modeling tools and techniques.

The book is intended for all actors in the educational sector, namely students, professors, academic researchers and stakeholders whose work involves multimedia system development, design and applications. It constitutes an essential forum for the exchange of ideas, approaches, and innovative techniques between these actors concerning the development of and innovation in the field of education with the I4.0 revolution. The authors of each chapter report on the state of the art and present the outcomes of their own research, laboratory experiments, and successful applications. The purpose of the book is to combine the idea of advanced intelligent systems with appropriate tools and techniques for modeling, management, and decision support in the fields of multimedia system development, design and applications.

Inhalt

A new clustering approach for K-NN algorithm optimization: Application to marketplace profile user prediction.- A novel face recognition system based on Gabor and Zernike features.- An efficient method for character segmentation in Moroccan license plate images.- Conditional assessment of uncertain parameters using Palm probabilistic approach and Kriging interpolation.- CSO to Solve the Shop Scheduling Problem: Survey.- Development of deep learning-based facial recognition system.- FPGA-based implementation of Optical flow for object detection.- FPGA-based system for road signs color segmentation.- Human Activity Classification Using Convolutional Neural Networks.- Improved brain tumor segmentation in MRI images based on thermal analysis model using U-Net and GPUs.- Improved Grey-Wolf Optimizer for Reliability Analysis.- Ischemic stroke lesion segmentation based on thermal analysis model using U-Net fully convolutional neural networks on GPUs .- On the Neutrosophic Counterpart of Bellman-Ford Algorithm.- Pity Beetle Algorithm to solve VRP variants.- Self-optimization of wireless systems: an approach by the game theory.- Static analysis of piezoelectric multilayered plates: Polarization effect.