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This book constitutes the refereed proceedings of the Second International Conference, SLAAI-ICAI 2018, held in Moratuwa, Sri Lanka, in December 2018. The 32 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in the following topical sections: intelligence systems; neural networks; game theory; ontology engineering; natural language processing; agent based system; signal and image processing.
Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning. - Focuses on data-centric operations in the Healthcare industry - Provides the latest trends in healthcare data analytics and practical implementation outcomes of the proposed models - Addresses real-time challenges and case studies in the Healthcare industry
This book reports on the latest research and developments in Biomedical Engineering, with a special emphasis on topics of interest and findings achieved in Latin America. This third volume of a 4-volume set covers advances in biomechanical analysis and modeling, neural network based methods for medical diagnosis and therapy, and robots and human-machine interface for rehabilitation. Throughout the book, a special emphasis is given to low-cost technologies and to their development for and applications in clinical settings. Based on the IX Latin American Conference on Biomedical Engineering (CLAIB 2022) and the XXVIII Brazilian Congress on Biomedical Engineering (CBEB 2022), held jointly, and virtually on October 24-28, 2022, from Florianópolis, Brazil, this book provides researchers and professionals in the biomedical engineering field with extensive information on new technologies and current challenges for their clinical applications. .
Interpreting the History of a Region in Crisis / Robert H. Holden -- Land and Climate: Natural Constraints and Socio-Environmental Transformations / Anthony Goebel McDermott -- Regaining Ground: Indigenous Populations and Territories / Peter H. Herlihy, Matthew L. Fahrenbruch, Taylor A. Tappan -- The Ancient Civilizations / William R. Fowler -- Marginalization, Assimilation, and Resurgence: The Indigenous Peoples since Independence / Wolfgang Gabbert -- The Spanish Conquest? / Laura E. Matthew -- Spanish Colonial Rule / Stephen Webre -- The Kingdom of Guatemala as a Cultural Crossroads / Brianna Leavitt-Alcántara -- From Kingdom to Republics, 1808-1840 / Aaron Pollack -- The Political Econo...
The Optimum-Path Forest (OPF) classifier was first published in 2008 in its supervised and unsupervised versions with applications in medicine and image classification. Since then, it has expanded to a variety of other applications such as remote sensing, electrical and petroleum engineering, and biology. In recent years, multi-label and semi-supervised versions were also developed to handle video classification problems. The book presents the principles, algorithms and applications of Optimum-Path Forest, giving the theory and state-of-the-art as well as insights into future directions. - Presents the first book on Optimum-path Forest - Shows how it can be used with Deep Learning - Gives a wide range of applications - Includes the methods, underlying theory and applications of Optimum-Path Forest (OPF)
DIVA study of the development of the medical profession and the health system in Costa Rica, integrating an analysis of class, gender, professional hierarchy, and a comparative perspective on the health care systems of other nations./div
Blockchain is an emerging platform for developing decentralized applications and data storage, over and beyond its role as a platform for cryptocurrencies. This reference text provides a comprehensive discussion on blockchain technology from research and application perspective. Discusses different approaches for building distributed applications (DAPPS). Provides detailed listing and discussion of blockchain technology applications in solving real life problems. Covers proof of work (PoW) based blockchain consensus, and proof of stake (PoS) based blockchain consensus. Discusses blockchain algorithms including practical byzantine fault tolerance (PBFT) and simplified byzantine fault toleranc...
The 1st International Conference on Disruptive Technologies in Computing and Communication Systems (ICDTCCS - 2023) has received overwhelming response on call for papers and over 119 papers from all over globe were received. We must appreciate the untiring contribution of the members of the organizing committee and Reviewers Board who worked hard to review the papers and finally a set of 69 technical papers were recommended for publication in the conference proceedings. We are grateful to the Chief Guest Prof Atul Negi, Dean – Hyderabad Central University, Guest of Honor Justice John S Spears -Professor University of West Los Angeles CA, and Keynote Speakers Prof A. Govardhan, Rector JNTU ...
Do Third World countries benefit from having large militaries, or does this impede their development? Kirk Bowman uses statistical analysis to demonstrate that militarization has had a particularly malignant impact in this region. For his quantitative comparison he draws on longitudinal data for a sample of 76 developing countries and for 18 Latin American nations. To illuminate the causal mechanisms at work, Bowman offers a detailed comparison of Costa Rica and Honduras between 1948 and 1998. The case studies not only serve to bolster his general argument about the harmful effects of militarization but also provide many new insights into the processes of democratic consolidation and economic transformation in these two Central American countries.
Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and elimination of the COVID-19 virus. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques, including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes is now possible. - Provides a lea...