Springer Advanced Intelligent Systems for Sustainable Development (AI2SD’2019): Volume 2 - Advanced Intelligent Systems for Sustainable Development Applied to ... in Intelligent Systems and Computing)

A controlled and complete mapping of care processes towards a digital clinic.-  A LSTM-based method with Attention Mechanism for Adverse Drug Reaction Sentences Detection.-  A Novel Low-Cost Conductivity Based Soil Moisture Sensor.- Agroforestry: Smart Practice for Sustainable Agricultural Development.-  Automatic localization of supraorbital and infraorbital foramina region on cbct images.-  Big Data Analytics and Artificial Intelligence Serving Agriculture.- Bio-ceramic amalgams based on hydroxyapatite doped by cobalt, nickel and their toxicity discussion.- Comparative study between Artificial Metaplasticity Learning Algorithm and other Machine Learning Techniques : Application for cardiac arrhythmias classification.-  Comparative study of Machine Learning Algorithms using the Breast Cancer Dataset.-  Comparison between Fuzzy Kernel C-Means, Fuzzy Kernel Possibilistic C-Means and Support Vector Machine in Soft Tissue Tumor Classification.- Crop Yield Prediction Using Deep Learning In Mediterranean Region.-  Design and Performances Evaluation of a Hybrid WBAN for Medical Applications based on the ?Inter-MAC? Layer Concept. From the Back Cover This book highlights the latest research in the fields of health care and agriculture, presented at the second installment of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), held on July 08–11, 2019 in Marrakech, Morocco. Gathering contributions by respected researchers in the field of agriculture, the book is intended to stimulate debate in this field, and proposes new solutions, tools and effective techniques concerning various current topics in the field of agriculture, such as ICT, IoT and big data analytics for agriculture, smart systems for plant productivity, and data analytics of socio-economic dimensions for sustainable agriculture and aquaculture. With regard to the field of health, the book addresses several areas of research, including E-health services in smart environments (smart homes, smart medical institutions, smart cities), E-health and big data analysis, IoT for health, network interoperability in E-health ecosystems, current and emerging web norms and communication technologies for E-health, heterogeneity of E-health environments and platforms (sensors and actuators, heterogeneous access technologies, security), human–computer interaction, RFID and localization techniques, E-health virtual communities, and business intelligence in health care. This book is intended for academic and professional researchers, decision-makers and all stakeholders in the fields of health and agriculture whose work involves the development and improvement of this field with modern I4.0 technologies and approaches. 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 health and agriculture.