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This book constitutes refereed proceedings of the 9th Conference on Information and Communication Technologies of Ecuador, TICEC 2021, held at the Universidad Politécnica Salesiana (UPS) campus in November 2021. The conference was organized in hybrid mode. The 24 full papers were carefully reviewed and selected from 126 qualified submissions. The papers cover a great variety of topics, such as data mining, neural networks, cyberphysical systems, telemedicine, traffic simulation, geospatial information, human–machine interaction, cloud computing, and others. The contributions are divided into the following thematic blocks: Data Science, ICT ́s Applications, Industry 4.0, Technology and Environment, Biomedical Sensors and Wearables Systems.
This book constitutes refereed proceedings of the 9th Conference on Information and Communication Technologies of Ecuador, TICEC 2021, held at the Universidad Politécnica Salesiana (UPS) campus in November 2021. The conference was organized in hybrid mode. The 24 full papers were carefully reviewed and selected from 126 qualified submissions. The papers cover a great variety of topics, such as data mining, neural networks, cyberphysical systems, telemedicine, traffic simulation, geospatial information, human-machine interaction, cloud computing, and others. The contributions are divided into the following thematic blocks: Data Science, ICT ́s Applications, Industry 4.0, Technology and Environment, Biomedical Sensors and Wearables Systems. .
Recent advances in information and communication technologies, embedded systems and sensor networks have generated significant research activity in the development of so-called cyber-physical systems. An example of a large network of cyber-physical systems is a smart city with intelligent infrastructures for supporting the environment, energy and water distribution, transportation, telecommunication, health care, home automation, and so on. From a systems point of view, safety, reliability and fault tolerance become key challenges in designing cyber-physical systems. One of the major issues is detecting and correcting faults in the sensors that form a critical part of these networks and syst...
A comprehensive, coherent, and in depth presentation of the state of the art in fuzzy clustering. Fuzzy clustering is now a mature and vibrant area of research with highly innovative advanced applications. Encapsulating this through presenting a careful selection of research contributions, this book addresses timely and relevant concepts and methods, whilst identifying major challenges and recent developments in the area. Split into five clear sections, Fundamentals, Visualization, Algorithms and Computational Aspects, Real-Time and Dynamic Clustering, and Applications and Case Studies, the book covers a wealth of novel, original and fully updated material, and in particular offers: a focus ...
A critical look at the Chavez regime from a leftist Venezuelan perspective, this account debunks claims made by Venezuelan and U.S. rightists that the regime is antidemocratic and dictatorial. Instead, the book argues that the Chavez government is one of a long line of Latin American populist organizations that have been ultimately subservient to the United States as well as multinational corporations. Explaining how autonomous Venezuelan social, labor, and environmental movements have been systematically disempowered by the Chavez regime, this analysis contends that these movements are the basis of a truly democratic, revolutionary alternative.
Thls text ls about one small fteld on the crossroads of statlstlcs, operatlons research and computer sclence. Statistleians need random number generators to test and compare estlmators before uslng them ln real l fe. In operatlons research, random numbers are a key component ln arge scale slmulatlons. Computer sclen tlsts need randomness ln program testlng, game playlng and comparlsons of algo rlthms. The appl catlons are wlde and varled. Yet all depend upon the same com puter generated random numbers. Usually, the randomness demanded by an appl catlon has some bullt-ln structure: typlcally, one needs more than just a sequence of Independent random blts or Independent uniform 0,1] random var...
This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining.