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Data Mining Applications Using Artificial Adaptive Systems
This volume directly addresses the complexities involved in data mining and the development of new algorithms, built on an underlying theory consisting of linear and non-linear dynamics, data selection, filtering, and analysis, while including analytical projection and prediction. The results derived from the analysis are then further manipulated such that a visual representation is derived with an accompanying analysis. The book brings very current methods of analysis to the forefront of the discipline, provides researchers and practitioners the mathematical underpinning of the algorithms, and the non-specialist with a visual representation such that a valid understanding of the meaning of ...
Intelligent Data Mining in Law Enforcement Analytics
This book provides a thorough summary of the means currently available to the investigators of Artificial Intelligence for making criminal behavior (both individual and collective) foreseeable, and for assisting their investigative capacities. The volume provides chapters on the introduction of artificial intelligence and machine learning suitable for an upper level undergraduate with exposure to mathematics and some programming skill or a graduate course. It also brings the latest research in Artificial Intelligence to life with its chapters on fascinating applications in the area of law enforcement, though much is also being accomplished in the fields of medicine and bioengineering. Individuals with a background in Artificial Intelligence will find the opening chapters to be an excellent refresher but the greatest excitement will likely be the law enforcement examples, for little has been done in that area. The editors have chosen to shine a bright light on law enforcement analytics utilizing artificial neural network technology to encourage other researchers to become involved in this very important and timely field of study.
Artificial Adaptive Systems Using Auto Contractive Maps
This book offers an introduction to artificial adaptive systems and a general model of the relationships between the data and algorithms used to analyze them. It subsequently describes artificial neural networks as a subclass of artificial adaptive systems, and reports on the backpropagation algorithm, while also identifying an important connection between supervised and unsupervised artificial neural networks. The book’s primary focus is on the auto contractive map, an unsupervised artificial neural network employing a fixed point method versus traditional energy minimization. This is a powerful tool for understanding, associating and transforming data, as demonstrated in the numerous examples presented here. A supervised version of the auto contracting map is also introduced as an outstanding method for recognizing digits and defects. In closing, the book walks the readers through the theory and examples of how the auto contracting map can be used in conjunction with another artificial neural network, the “spin-net,” as a dynamic form of auto-associative memory.
CyberResearch on the Ancient Near East and Neighboring Regions
CyberResearch on the Ancient Near East and Neighboring Regions is now available on PaperHive! PaperHive is a new free web service that offers a platform to authors and readers to collaborate and discuss, using already published research. Please visit the platform to join the conversation. CyberResearch on the Ancient Near East and Neighboring Regions provides case studies on archaeology, objects, cuneiform texts, and online publishing, digital archiving, and preservation. Eleven chapters present a rich array of material, spanning the fifth through the first millennium BCE, from Anatolia, the Levant, Mesopotamia, and Iran. Customized cyber- and general glossaries support readers who lack either a technical background or familiarity with the ancient cultures. Edited by Vanessa Bigot Juloux, Amy Rebecca Gansell, and Alessandro Di Ludovico, this volume is dedicated to broadening the understanding and accessibility of digital humanities tools, methodologies, and results to Ancient Near Eastern Studies. Ultimately, this book provides a model for introducing cyber-studies to the mainstream of humanities research.
The Topological Weighted Centroid: A New Vision of Geographic Profiling
This book introduces the Topological Weighed Centroid approach and describes some applications in the study of the dynamics of various spatial phenomena with a special emphasis on the spatial analysis of the relationship, influence, and dynamics of geographical phenomena. Offering a comprehensive introduction to the theory and illustrative examples from various kinds of geographical data, this book also takes an in-depth look at more complex case studies, such as the applications of the topological weighed centroid approach in the study of epidemic patterns, cultural processes, criminality, and environmental phenomena.
Frontiers in Water-Energy-Nexus—Nature-Based Solutions, Advanced Technologies and Best Practices for Environmental Sustainability
This volume includes selected contributions presented during the 2nd edition of the international conference on WaterEnergyNEXUS which was held in Salerno, Italy in November 2018. This conference was organized by the Sanitary Environmental Engineering Division (SEED) of the University of Salerno (Italy) in cooperation with Advanced Institute of Water Industry at Kyungpook National University (Korea) and with The Energy and Resources Institute, TERI (India). The initiative received the patronage of UNESCO – World Water Association Programme (WWAP) and of the International Water Association (IWA) and was organized with the support of Springer (MENA Publishing Program), Arab Water Council (AW...
Applications of Mathematics in Models, Artificial Neural Networks and Arts
The book shows a very original organization addressing in a non traditional way, but with a systematic approach, to who has an interest in using mathematics in the social sciences. The book is divided in four parts: (a) a historical part, written by Vittorio Capecchi which helps us understand the changes in the relationship between mathematics and sociology by analyzing the mathematical models of Paul F. Lazarsfeld, the model of simulation and artificial societies, models of artificial neural network and considering all the changes in scientific paradigms considered; (b) a part coordinated by Pier Luigi Contucci on mathematical models that consider the relationship between the mathematical m...
Nutraceuticals and Cardiovascular Disease
This book provides an evidence-based approach for the clinical use of nutraceuticals in the prevention and management of cardiovascular disease. It examines cardiovascular disease epidemiology, risk factors, and the role of dietary patterns. Clinical chapters discuss the use of nutraceuticals in the management of medical conditions such as dyslipidemia, hypertension, insulin resistance, and heart failure. Each chapter contains a short epidemiological background; a list of relevant active compounds and their efficacy, tolerability, and safety; and suggestions for prescribers. This book is a practical guide with the best clinical evidence supporting the use of nutraceuticals in cardiology. Nutraceuticals and Cardiovascular Disease: An Evidence-based Approach for Clinical Practice is an essential resource for physicians, residents, fellows, and medical students in cardiology, clinical nutrition, dietetics, and internal medicine.
COVID-19 in Clinical Practice
This book assesses the main features of COVID-19 from a clinical point of view, based on observations made during the disease epidemic in Northern Italy, one of the most affected areas in the world (the region has been the epicenter of the global pandemic for more than a month), and the first region outside China facing overwhelming numbers of cases. With no practical guidelines in place, Italian doctors were called to fight against an unknown disease. For the first time in modern history, healthcare workers and decision-makers had to find rapid solutions to a life-changing health crisis with no evidence-based recommendations or procedures in place to guide their actions. Sharing the lessons learned from this experience, and offering practical tips on implementing future programs for pandemic preparedness, the book is a valuable tool for medical practitioners and health-policy-makers wanting to better understand the complexity of the current and future global health crises.
