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This book constitutes the refereed post-conference proceedings of the 8th International Conference on Mobile Networks and Management, MONAMI 2016, held in Abu Dhabi, United Arab Emirates, in October 2016. The 14 revised full papers were carefully reviewed and selected from 18 submissions. The papers are organized thematically in four parts, starting with cloud computing and software defined networking followed by Internet-of-the-things, vehicular networks and novel techniques and algorithms.
A blueprint for a better future that offers a unified theory of human behavior, culture, and society. Playing on the phrase “a theory of everything” from physics, Michael Muthukrishna’s ambitious, original, and deeply hopeful book A Theory of Everyone draws on the most recent research from across the sciences, humanities, and the emerging field of cultural evolution to paint a panoramic picture of who we are and what exactly makes human beings different from all other forms of life on the planet. Muthukrishna argues that it is our unique ability to create culture, a shared body of knowledge, skills, and experience passed on from generation to generation, that has enabled our current do...
Cryptography’s essential role in the functioning of the city, viewed against the backdrop of modern digital life. Cryptography is not new to the city; in fact, it is essential to its functioning. For as long as cities have existed, communications have circulated, often in full sight, but with their messages hidden. In Cryptographic City, Richard Coyne explains how cryptography runs deep within the structure of the city. He shows the extent to which cities are built on secrets, their foundations now reinforced by digital encryption and cryptocurrency platforms. He also uses cryptography as a lens through which to inspect smart cities and what they deliver. Coyne sets his investigation into ...
This book constitutes the refereed proceedings of the 4th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2016, held in Mexico City, Mexico, in November 2016. The 18 full papers presented were carefully reviewed and selected from 56 submissions. Accepted papers were grouped into various subtopics including information retrieval, machine learning, pattern recognition, knowledge discovery, classification, clustering, image processing, network security, speech processing, natural language processing, language, cognition and computation, fuzzy sets, and business intelligence.
Technology and Innovation Management is one of the most sought-after courses offered like MBA or PGDM in Business Schools and various Technology Institutes, today. This book, written with deep ingrained practical insights and well-researched theoretical foundations integrates people, processes and technology to achieve maximum economic benefits to society. The book is designed to be a compendium for students and managers, who wish to understand technology and innovation management to the core. The book explains the relationship between technology innovation and strategy in a simplified manner. Keeping Indian education framework in mind, this book details on practices and principles that are ...
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others.
The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory and design, applications, kernel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and image processing, and special sessions intelligent systems for supporting decision, making processes, theories and applications, cognitive robotics, and learning systems for social network and web mining.
As advancements in technology continue to influence all facets of society, its aspects have been utilized in order to find solutions to emerging ecological issues. Creating a Sustainable Ecology Using Technology-Driven Solutions highlights matters that relate to technology driven solutions towards the combination of social ecology and sustainable development. This publication addresses the issues of development in advancing and transitioning economies through creating new ideas and solutions; making it useful for researchers, practitioners, and policy makers in the socioeconomic sectors.
This book constitutes the refereed post-conference proceedings of the 5th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2017, held in Hyderabad, India, in December 2017. The 40 full papers presented were carefully reviewed and selected from 139 submissions. The papers were grouped into various subtopics including arti ficial intelligence, machine learning, image processing, pattern recognition, speech processing, information retrieval, natural language processing, social network analysis, security, and fuzzy rough sets.
This book covers the theoretical foundations of advanced mean field methods, explores the relation between the different approaches, examines the quality of the approximation obtained, and demonstrates their application to various areas of probabilistic modeling. A major problem in modern probabilistic modeling is the huge computational complexity involved in typical calculations with multivariate probability distributions when the number of random variables is large. Because exact computations are infeasible in such cases and Monte Carlo sampling techniques may reach their limits, there is a need for methods that allow for efficient approximate computations. One of the simplest approximatio...