00939nam0-2200301 --450 991047195840332120210514090430.0978-88-575-1394-2IT2013-483220210514d2013----kmuy0itay5050 baitaITy 001yyChiesa e biopoliticail discorso cattolico su famiglia, sessualità e vita umana da Pio XI a Benedetto XVIIsacco TurinaMilanoUdineMimesis2013332 p.21 cmMimesis. Eterotopie166Contiene bibl. (pp. 311-332)Vita umanaDottrina pontificiaSec. 20.241.69722itaTurina,Isacco793449ITUNINAREICATUNIMARCBK9910471958403321COLLEZ. 2467 (166)2712/2020FSPBCFSPBCChiesa e biopolitica1779720UNINA03889nam 22006255 450 991048474850332120251113203018.0981-13-6569-510.1007/978-981-13-6569-0(CKB)5340000000061465(MiAaPQ)EBC5923776(DE-He213)978-981-13-6569-0(PPN)243769156(EXLCZ)99534000000006146520190329d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierSocio-cultural Inspired Metaheuristics /edited by Anand J. Kulkarni, Pramod Kumar Singh, Suresh Chandra Satapathy, Ali Husseinzadeh Kashan, Kang Tai1st ed. 2019.Singapore :Springer Nature Singapore :Imprint: Springer,2019.1 online resource (308 pages) illustrationsStudies in Computational Intelligence,1860-9503 ;828981-13-6568-7 Includes bibliographical references and index.Optimum Design of Four Mechanical Elements Using Cohort Intelligence Algorithm -- Premier League Championship Algorithm: a multi-population based Algorithm and its Application on Structural Design Optimization -- Socio-inspired Optimization Metaheuristics: A Review -- Social Group Optimization Algorithm for Pattern Optimization in Antenna Arrays -- A Self-organizing Multi-agent Cooperative Robotic System: An Application of Cohort Intelligence Algorithm -- Feature Selection for Vocal Segmentation Using Social Emotional Optimization Algorithm -- Simultaneous Size and Shape Optimization of Dome-shaped Structures Using Improved Cultural Algorithm -- A Socio-Based Cohort Intelligence Algorithm for Integer Discrete and Mixed Design Variables Engineering Problems -- Maximizing Profits in Crop Planning Using Socio Evolution and Learning Optimization -- Application of Cohort- intelligence Variations Designing Fractional PID Controller for Various Systems.This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions. This book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial intelligence (AI) and computational intelligence fields.Studies in Computational Intelligence,1860-9503 ;828Computational intelligenceArtificial intelligenceMathematical optimizationComputational IntelligenceArtificial IntelligenceContinuous OptimizationComputational intelligence.Artificial intelligence.Mathematical optimization.Computational Intelligence.Artificial Intelligence.Continuous Optimization.006.3Kulkarni Anand Jedthttp://id.loc.gov/vocabulary/relators/edtSingh Pramod Kumaredthttp://id.loc.gov/vocabulary/relators/edtSatapathy Suresh Chandraedthttp://id.loc.gov/vocabulary/relators/edtHusseinzadeh Kashan Aliedthttp://id.loc.gov/vocabulary/relators/edtTai Kangedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910484748503321Socio-cultural Inspired Metaheuristics2846314UNINA04285nam 22007335 450 991048451960332120251127082720.0981-15-0806-210.1007/978-981-15-0806-6(CKB)4100000009940020(MiAaPQ)EBC5986811(DE-He213)978-981-15-0806-6(PPN)243768400(EXLCZ)99410000000994002020191127d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierKalman Filtering and Information Fusion /by Hongbin Ma, Liping Yan, Yuanqing Xia, Mengyin Fu1st ed. 2020.Singapore :Springer Nature Singapore :Imprint: Springer,2020.1 online resource (xvii, 291 pages) illustrations981-15-0805-4 Includes bibliographical references.Preface -- Part I Kalman Filtering: Preliminaries -- Part II Kalman Filtering for Uncertain Systems -- Part III Kalman Filtering for Multi-Sensor Systems -- Part IV Kalman Filtering for Multi-Agent Systems.This book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertainties in a single plant, and to corresponding solutions based on adaptive estimation. Further, it discusses in detail the issues that arise when Kalman filtering technology is applied in multi-sensor systems and/or multi-agent systems, especially when various sensors are used in systems like intelligent robots, autonomous cars, smart homes, smart buildings, etc., requiring multi-sensor information fusion techniques. Furthermore, when multiple agents (subsystems) interact with one another, it produces coupling uncertainties, a challenging issue that is addressed here with the aid of novel decentralized adaptive filtering techniques. Overall, the book’s goal is to provide readers with a comprehensive investigation into the challenging problem of making Kalman filtering work well in the presence of various uncertainties and/or for multiple sensors/components. State-of-art techniques are introduced, together with a wealth of novel findings. As such, it can be a good reference book for researchers whose work involves filtering and applications; yet it can also serve as a postgraduate textbook for students in mathematics, engineering, automation, and related fields. To read this book, only a basic grasp of linear algebra and probability theory is needed, though experience with least squares, navigation, robotics, etc. would definitely be a plus.Automatic controlRoboticsAutomationEngineering mathematicsEngineeringData processingSystem theoryControl theoryElectrical engineeringControl, Robotics, AutomationMathematical and Computational Engineering ApplicationsSystems Theory, ControlElectrical and Electronic EngineeringAutomatic control.Robotics.Automation.Engineering mathematics.EngineeringData processing.System theory.Control theory.Electrical engineering.Control, Robotics, Automation.Mathematical and Computational Engineering Applications.Systems Theory, Control.Electrical and Electronic Engineering.629.8312Ma Hongbinauthttp://id.loc.gov/vocabulary/relators/aut720640Yan Lipingauthttp://id.loc.gov/vocabulary/relators/autXia Yuanqingauthttp://id.loc.gov/vocabulary/relators/autFu Mengyinauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910484519603321Kalman Filtering and Information Fusion2855130UNINA