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[null,"1.","Record Nr.",null,"UNISALENTO991004005909707536"]
[null,null,"Titolo",null,"Il sorriso al potere : i Classici del ridere di Angelo Fortunato Formiggini (1913-1938) / a cura di Irene Piazzoni, Giuseppe Polimeni"]
[null,null,"Pubbl/distr/stampa",null,"Milano : FrancoAngeli, [2020]"]
[null,null,"ISBN",null,"9788835106180"]
[null,null,"Descrizione fisica",null,"220 p. : ill. ; 24 cm."]
[null,null,"Collana",null,"Studi e ricerche di storia dell'editoria ; 76"]
[null,null,"Disciplina",null,"070.5"]
[null,null,"Soggetti",null,"Formiggini, Angelo Fortunato Editoria 1913-1938"]
[{"$nulls":4},"Formiggini, Angelo Fortunato Editoria 1913-1938"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910254252003321"]
[null,null,"Titolo",null,"Advances in Chaos Theory and Intelligent Control / / edited by Ahmad Taher Azar, Sundarapandian Vaidyanathan"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016"]
[null,null,"ISBN",null,"9783319303406"]
[{"$nulls":4},"3319303406"]
[null,null,"Edizione",null,"[1st ed. 2016.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XII, 873 p. 420 illus., 127 illus. in color.)"]
[null,null,"Collana",null,"Studies in Fuzziness and Soft Computing, , 1860-0808 ; ; 337"]
[null,null,"Disciplina",null,"003.857"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Multibody systems"]
[{"$nulls":4},"Vibration"]
[{"$nulls":4},"Mechanics, Applied"]
[{"$nulls":4},"Control engineering"]
[{"$nulls":4},"Robotics"]
[{"$nulls":4},"Automation"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"System theory"]
[{"$nulls":4},"Mathematical physics"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Multibody Systems and Mechanical Vibrations"]
[{"$nulls":4},"Control, Robotics, Automation"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Complex Systems"]
[{"$nulls":4},"Theoretical, Mathematical and Computational Physics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- About the Subject -- About the Book -- Objectives of the Book -- Organization of the Book -- Book Features -- Audience -- Acknowledgements -- Contents -- Part I Advances in Chaos Theory -- A Novel Design Approach of a Nonlinear Resistor Based on a Memristor Emulator -- 1 Introduction -- 2 Memristor---A Brief Review -- 2.1 The Invention -- 2.2 The First Physical Model of the Memristor -- 3 Memristor's Emulators -- 3.1 Related Works -- 3.2 The Proposed "]
[{"$nulls":4},"Memristor Emulator -- 4 Implementation of a Nonlinear Resistor Based  on the Memristor Emulator -- 5 Nonlinear Circuit Based on the Proposed Nonlinear Resistor -- 5.1 Numerical Simulation Results -- 5.2 Simulation Results with Multisim -- 6 Conclusion -- References -- Dynamics, Synchronization and SPICE Implementation of a Memristive System  with Hidden Hyperchaotic Attractor -- 1 Introduction -- 2 Related Work -- 3 Model of the Memristive System -- 4 Dynamics and Properties of the Memristive System -- 5 Adaptive Anti-synchronization of the Memristive System -- 6 Circuit Realization of the Memristive System -- 7 Conclusion -- References -- Synchronization of Fractional Chaotic  and Hyperchaotic Systems Using  an Extended Active Control -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Synchronization Techniques -- 4.1 Equations Not Involving Delay -- 4.2 Equations Involving Delay -- 5 Examples -- 5.1 Synchronization of Chaotic Fractional Liu System -- 5.2 Synchronization of Hyperchaotic Fractional New System -- 5.3 Synchronization of Fractional Order Delay System -- 6 Discussion -- 7 Conclusion -- References -- A Novel 4-D Hyperchaotic Thermal Convection System and Its Adaptive Control -- 1 Introduction -- 2 A Novel 4-D Hyperchaotic Thermal Convection System -- 3 Analysis of the Novel 4-D Hyperchaotic Thermal Convection System -- 3.1 Dissipativity."]
[{"$nulls":4},"3.2 Equilibrium Points -- 3.3 Rotation Symmetry About the x3-axis -- 3.4 Invariance -- 3.5 Lyapunov Exponents and Kaplan-Yorke Dimension -- 4 Adaptive Control of the Novel Hyperchaotic Thermal Convection System -- 5 Adaptive Synchronization of the Identical Novel Hyperchaotic Systems -- 6 Conclusions -- References -- Synchronization of Chaotic Dynamical Systems in Discrete-Time -- 1 Introduction -- 2 Complete Synchronization for Arbitrary  3D Quadratic Maps -- 2.1 General Synchronization Approach -- 2.2 Illustrative Example -- 2.3 Conclusion -- 3 Complete Synchronization Criterions  for N-Dimensional Maps -- 3.1 Synchronization Criterion Via Controlling( bij) 1leqi,jleqn -- 3.2 Synchronization Criterion Via Controlling ( bii)1leqileqn -- 3.3 Numerical Application -- 3.4 Conclusion -- 4 Matrix Projective Synchronization for Different Dimensional Maps -- 4.1 Matrix Projective Synchronization Criterion -- 4.2 Simulation Example -- 4.3 Conclusion -- 5 Inverse Matrix Projective Synchronization  Between n-D and m-D Maps -- 5.1 Synchronization Results -- 5.2 Numerical Results -- 5.3 Conclusion -- 6 Synchronization in Different Dimensions Using Two Scaling Matrices -- 6.1 Synchronization of 2-D Drive System  and 3-D Response System in 2D -- 6.2 Synchronization of 2D Drive System  and 3D Response System in 3D -- 6.3 Numerical Simulation -- 6.4 Conclusion -- References -- Mathematical Modelling of Chaotic Jerk Circuit and Its Application in Secure Communication System -- 1 Introduction -- 2 Mathematical Model of Jerk Circuit -- 2.1 Equilibrium Point Analysis -- 2.2 Numerical Simulation Using MATLAB -- 2.3 Lyapunov Exponent Analysis -- 2.4 Bifurcation Diagram Analysis -- 2.5 Frequency Spectrum of Chaotic System -- 2.6 Poincare Map Analysis -- 3 Analog Circuit Simulation Using MultiSIM -- 4 Circuit Design and Implementation for the Jerk Circuit."]
[{"$nulls":4},"5 Bidirectional Chaotic Synchronization -- 5.1 Mathematical Model of Bidirectional Coupling -- 5.2 Analog Circuit Simulation Using MultiSIM -- 5.3 Circuit Design and Implementation for the Jerk Circuit -- 6 Applications in Secure Communication System -- 6.1 Mathematical Model of Secure Communication System -- 6.2 Numerical Simulation of Secure Communication Systems -- 6.3 Analog Circuit Simulation of Secure Communication System -- 6.4 Analog Experimental Results of "]
[{"$nulls":4},"Secure Communication Systems -- 7 Conclusions -- References -- Dynamic Analysis, Adaptive Feedback Control and Synchronization of An Eight-Term 3-D Novel Chaotic System  with Three Quadratic Nonlinearities -- 1 Introduction -- 2 A Novel 3-D Chaotic System -- 3 Analysis of the 3-D Novel Chaotic System -- 3.1 Dissipativity -- 3.2 Invariance -- 3.3 Equilibria -- 3.4 Lyapunov Exponents and Kaplan-Yorke Dimension -- 4 Adaptive Feedback Control of the 3-D Novel  Chaotic System -- 5 Adaptive Synchronization of the Identical 3-D Novel Chaotic Systems -- 6 Conclusions -- References -- Qualitative Study and Adaptive Control  of a Novel 4-D Hyperchaotic System with Three Quadratic Nonlinearities -- 1 Introduction -- 2 A Novel 4-D Hyperchaotic System -- 3 Analysis of the Novel 4-D Hyperchaotic System -- 3.1 Dissipativity -- 3.2 Equilibrium Points -- 3.3 Rotation Symmetry About the x3-axis -- 3.4 Invariance -- 3.5 Lyapunov Exponents and Kaplan-Yorke Dimension -- 4 Adaptive Control of the Novel Hyperchaotic System -- 5 Adaptive Synchronization of the Identical Novel Hyperchaotic Systems -- 6 Conclusions -- References -- A Novel 4-D Four-Wing Chaotic  System with Four Quadratic  Nonlinearities and Its Synchronization  via Adaptive Control Method -- 1 Introduction -- 2 A Novel 4-D Four-Wing Chaotic System -- 3 Analysis of the Novel 4-D Four-Wing Chaotic System -- 3.1 Dissipativity -- 3.2 Rotation Symmetry."]
[{"$nulls":4},"3.3 Equilibria -- 3.4 Lyapunov Exponents and Kaplan-Yorke Dimension -- 4 Adaptive Synchronization of the Identical Novel Four-Wing Chaotic Systems -- 5 Conclusions -- References -- Adaptive Control and Synchronization of Halvorsen Circulant Chaotic Systems -- 1 Introduction -- 2 Halvorsen Circulant Chaotic System -- 3 Properties of the Halvorsen Circulant Chaotic System -- 3.1 Dissipativity -- 3.2 Equilibrium Point -- 3.3 Lyapunov Exponents and Kaplan-Yorke Dimension -- 4 Adaptive Control of Halvorsen Circulant Chaotic System -- 5 Adaptive Synchronization of the Identical Halvorsen Circulant Chaotic Systems -- 6 Conclusions -- References -- Adaptive Backstepping Control  and Synchronization of a Novel 3-D Jerk  System with an Exponential Nonlinearity -- 1 Introduction -- 2 A Novel 3-D Jerk Chaotic System -- 3 Properties of the Novel Jerk Chaotic System -- 3.1 Dissipativity -- 3.2 Equilibrium Point -- 3.3 Lyapunov Exponents and Kaplan-Yorke Dimension -- 4 Adaptive Control of Novel Jerk Chaotic System -- 5 Adaptive Synchronization of Identical Novel Jerk Chaotic Systems -- 6 Conclusions -- References -- Generalized Projective Synchronization  of a Novel Hyperchaotic Four-Wing System via Adaptive Control Method -- 1 Introduction -- 2 A Novel 4-D Hyperchaotic Four-Wing System -- 3 Analysis of the Novel 4-D Hyperchaotic  Four-Wing System -- 3.1 Dissipativity -- 3.2 Equilibria -- 3.3 Lyapunov Exponents and Kaplan-Yorke Dimension -- 4 Generalized Projective Synchronization of the Identical Novel Hyperchaotic Systems -- 5 Conclusions -- References -- Hyperchaos, Control, Synchronization  and Circuit Simulation of a Novel 4-D Hyperchaotic System with Three Quadratic Nonlinearities -- 1 Introduction -- 2 A Novel 4-D Hyperchaotic System -- 3 Analysis of the Novel 4-D Hyperchaotic System -- 3.1 Dissipativity -- 3.2 Equilibrium Points."]
[{"$nulls":4},"3.3 Rotation Symmetry About the x3-axis -- 3.4 Invariance -- 3.5 Lyapunov Exponents and Kaplan-Yorke Dimension -- 4 Adaptive Control of the Novel Hyperchaotic System -- 5 Adaptive Synchronization of the Identical Novel Hyperchaotic Systems -- 6 Circuit Simulation of the Novel Hyperchaotic System -- 7 Conclusions -- References -- Complete Synchronization of Hyperchaotic Systems via Novel Sliding Mode Control -- 1 Introduction -- 2 Problem "]
[{"$nulls":4},"Statement -- 3 A Novel Sliding Mode Control Method for Solving Complete Synchronization Problem -- 4 Hyperchaotic Vaidyanathan System -- 5 Qualitative Properties of the Hyperchaotic Vaidyanathan System -- 5.1 Dissipativity -- 5.2 Equilibrium Points -- 5.3 Lyapunov Exponents and Kaplan-Yorke Dimension -- 6 Sliding Mode Controller Design for the Complete Synchronization of Hyperchaotic Vaidyanathan Systems -- 7 Conclusions -- References -- A Novel 3-D Conservative Jerk Chaotic System with Two Quadratic Nonlinearities and Its Adaptive Control -- 1 Introduction -- 2 A Novel 3-D Jerk Chaotic System -- 3 Properties of the Novel Jerk Chaotic System -- 3.1 Volume Conservation of the Flow -- 3.2 Equilibrium Points -- 3.3 Lyapunov Exponents and Kaplan-Yorke Dimension -- 4 Adaptive Backstepping Control of Novel Conservative Jerk Chaotic System -- 5 Adaptive Synchronization of Identical Novel Jerk Chaotic Systems -- 6 Conclusions -- References -- A Novel 3-D Circulant Highly Chaotic System with Labyrinth Chaos -- 1 Introduction -- 2 A Novel 3-D Circulant Highly Chaotic System  with Labyrinth Chaos -- 3 Analysis of the Novel 3-D Circulant Highly Chaotic System -- 3.1 Dissipativity -- 3.2 Equilibrium Points -- 3.3 Lyapunov Exponents and Kaplan-Yorke Dimension -- 4 Adaptive Control of the Novel Circulant Highly Chaotic System -- 5 Adaptive Synchronization of the Identical Novel Circulant Highly Chaotic Systems -- 6 Conclusions."]
[{"$nulls":4},"References."]
[null,null,null,"Sommario/riassunto","The book reports on the latest advances in and applications of chaos theory and intelligent control. Written by eminent scientists and active researchers and using a clear, matter-of-fact style, it covers advanced theories, methods, and applications in a variety of research areas, and explains key concepts in modeling, analysis, and control of chaotic and hyperchaotic systems. Topics include fractional chaotic systems, chaos control, chaos synchronization, memristors, jerk circuits, chaotic systems with hidden attractors, mechanical and biological chaos, and circuit realization of chaotic systems. The book further covers fuzzy logic controllers, evolutionary algorithms, swarm intelligence, and petri nets among other topics. Not only does it provide the readers with chaos fundamentals and intelligent control-based algorithms; it also discusses key applications of chaos as well as multidisciplinary solutions developed via intelligent control. The book is a timely and comprehensive reference guide for graduate students, researchers, and practitioners in the areas of chaos theory and intelligent control. ."]
[null,"3.","Record Nr.",null,"UNINA9910595048703321"]
[null,null,"Titolo",null,"Predictive Intelligence in Medicine : 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / / edited by Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"9783031169199"]
[{"$nulls":4},"3031169190"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (224 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 13564"]
[null,null,"Disciplina",null,"060"]
[{"$nulls":4},"610.28563"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Computer engineering"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer Engineering and Networks"]
[{"$nulls":4},"Computing Milieux"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Intel·ligència artificial en medicina"]
[{"$nulls":4},"Previsió tecnològica"]
[{"$nulls":4},"Congressos"]
[{"$nulls":4},"Llibres electrònics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Federated Time-dependent GNN Learning from Brain Connectivity Data with Missing Timepoints -- Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing -- Multi-Tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade Gliomas -- Multiple Instance Neuroimage Transformer -- Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach -- Mixup augmentation improves age prediction from T1-weighted brain MRI scans -- Diagnosing Knee Injuries from MRI "]
[{"$nulls":4},"with Transformer Based Deep Learning -- MISS-Net: Multi-view contrastive transformer network for MCI stages prediction using brain 18F-FDG PET imaging -- TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation -- Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study -- Weakly-Supervised TILs Segmentation based on Point Annotations using Transfer Learning with Point Detector and Projected-Boundary Regressor -- Discriminative Deep Neural Network for Predicting Knee OsteoArthritis in Early Stage -- Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-Task Learning on Imaging and Tabular Data -- Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts -- Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets -- Learning subject-specific functional parcellations from cortical surface measures -- A Triplet Contrast Learning of Global and Local Representations for Unannotated Medical Images -- Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification -- Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning."]
[null,null,null,"Sommario/riassunto","This book constitutes the proceedings of the 5th International Workshop on Predictive Intelligence in Medicine, PRIME 2022, held in conjunction with MICCAI 2022 as a hybrid event in Singapore, in September 2022. The 19 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine."]