LEADER 08092nam 22005895 450 001 9910520083903321 005 20251113192919.0 010 $a3-030-83309-7 024 7 $a10.1007/978-3-030-83309-1 035 $a(MiAaPQ)EBC6838695 035 $a(Au-PeEL)EBL6838695 035 $a(CKB)20275127600041 035 $a(PPN)269153330 035 $a(OCoLC)1321800104 035 $a(DE-He213)978-3-030-83309-1 035 $a(EXLCZ)9920275127600041 100 $a20211130d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA Lifetime of Excursions Through Random Walks and Lévy Processes $eA Volume in Honour of Ron Doney?s 80th Birthday /$fedited by Loïc Chaumont, Andreas E. Kyprianou 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Birkhäuser,$d2021. 215 $a1 online resource (354 pages) 225 1 $aProgress in Probability,$x2297-0428 ;$v78 311 08$aPrint version: Chaumont, Loïc A Lifetime of Excursions Through Random Walks and lévy Processes Cham : Springer International Publishing AG,c2021 9783030833084 327 $aIntro -- Contents -- A Lifetime of Excursions Through Random Walks and Lévy Processes -- References -- Path Decompositions of Perturbed Reflecting Brownian Motions -- 1 Introduction -- 2 Preliminaries -- 2.1 The Brownian Loop Soup -- 2.2 The Poisson-Dirichlet Distribution -- 2.3 Some Known Results -- 3 Decomposition at a Hitting Time -- 4 Decomposition at the Minimum -- 5 The Perturbed Bessel Process and Its Rescaling at a Stopping Time -- References -- On Doney's Striking Factorization of the Arc-Sine Law -- 1 Introduction -- 2 The Arc-Sine Law and Exponential Functional of Lévy Processes -- 3 Proofs -- 3.1 Proof of Corollary 2.2 -- 3.2 Proof of Corollary 2.3 -- 3.3 Proof of Corollary 2.4 -- References -- On a Two-Parameter Yule-Simon Distribution -- 1 Introduction -- 2 Preliminaries on the General Branching Process Y? -- 3 Poissonian Representation for the Tail Distribution -- 4 Tail Asymptotic Behaviors -- 5 Connection with a Population Model with Neutral Mutations -- 5.1 Simon's Model in Terms of Yule Processes with Mutations -- 5.2 A Generalization of Simon's Model -- The Full Range of the One-Parameter Yule-Simon Law -- A Two-Parameter Generalization -- References -- The Limit Distribution of a Singular Sequence of Itô Integrals -- 1 Introduction and Statement of the Theorem -- 2 Proof of the Theorem -- 3 Concluding Remarks -- References -- On Multivariate Quasi-infinitely Divisible Distributions -- 1 Introduction -- 2 The Lévy-Khintchine Type Representation -- 3 Examples -- 4 Conditions for Absolute Continuity -- 5 Topological Properties of the Class of Infinitely Divisible Distributions -- 6 Conditions for Weak Convergence -- 7 Support Properties -- 8 Moments -- References -- Extremes and Regular Variation -- 1 One Dimension -- 2 Higher Dimensions -- 3 Historical Comments -- References. 327 $aSome New Classes and Techniques in the Theory of BernsteinFunctions -- 1 A Unified View on Subclasses of Bernstein Functions -- 2 Investigating the Class CBFa -- 3 A New Injective Mapping from BF onto CBF -- References -- A Transformation for Spectrally Negative Lévy Processes and Applications -- 1 Introduction -- 2 The Transformation T?,? -- 3 Scale Functions for Spectrally Negative Lévy Processes -- 4 Exponential Functional and Length-Biased Distribution -- 4.1 The Case of Subordinators -- 4.2 The Spectrally Negative Case -- 5 Entrance Laws and Intertwining Relations of pssMp -- References -- First-Passage Times for Random Walks in the Triangular ArraySetting -- 1 Introduction and the Main Result -- 1.1 Introduction -- 1.2 Main Result -- 1.3 Triangular Arrays of Weighted Random Variables -- 1.4 Discussion of the Assumption (13) -- 2 Proofs -- 2.1 Some Estimates in the Central Limit Theorem -- 2.2 Estimates for Expectations of Z"0362Zk -- 2.3 Proof of Theorem 1 -- 2.4 Proof of Corollary 3 -- 2.5 Calculations Related to Example 7 -- References -- On Local Times of Ornstein-Uhlenbeck Processes -- 1 Introduction and Main Result -- 2 Local Times on Curves -- 3 Proof of Theorem 1.1 -- 4 Some Asymptotics of Local Times -- References -- Two Continua of Embedded Regenerative Sets -- 1 Introduction -- 2 Regenerative Sets -- 3 Relationship with the Set of Ladder Times -- 4 Regenerative Embedding Generalities -- 5 A Continuous Family of Embedded Regenerative Sets -- 6 Another Continuous Family of Embedded Regenerative Sets -- 7 Some Real Analysis -- References -- No-Tie Conditions for Large Values of Extremal Processes -- 1 Introduction -- 1.1 Poisson Point Processes -- 1.2 Extremal Processes -- 2 No Ties in Probability -- 3 No Ties Almost Surely -- 4 Sufficient Conditions and an Example -- References. 327 $aSlowly Varying Asymptotics for Signed Stochastic DifferenceEquations -- 1 Introduction -- 2 Positive Stochastic Difference Equation -- 3 Impact of Atom at Zero -- 4 The Case of Positive A and Signed B -- 5 Balance of Negative and Positive Tails in the Case of Signed A -- References -- The Doob-McKean Identity for Stable Lévy Processes -- 1 Introduction -- 2 Doob-McKean for Isotropic ?-Stable Processes -- 3 The Special Case of Cauchy Processes -- 3.1 Lamperti Representation of the Doob-McKean Identity -- 3.2 Connection to Cauchy Process Conditioned to Stay Positive -- 3.3 Pathwise Representation -- 3.4 Generators -- 4 Concluding Remarks -- References -- Oscillatory Attraction and Repulsion from a Subset of the Unit Sphere or Hyperplane for Isotropic Stable Lévy Processes -- 1 Introduction -- 2 Oscillatory Attraction Towards S -- 3 Oscillatory Repulsion from S and Duality -- 4 The Setting of a Subset in an Rd-1 Hyperplane -- 5 Heuristic for the Proof of Theorem 2 -- 6 Proof of Theorem 2 (i) -- 7 Proof of Theorem 2 (ii) -- 8 Proof of Theorem 1 -- 9 Proof of Theorem 3 -- 9.1 Completing the Proof of Theorem 3 -- 10 Proof of Theorem 4 -- Appendix: Hypergeometric Identities -- References -- Angular Asymptotics for Random Walks -- 1 Introduction -- 2 Recurrent Directions -- 3 Compactification and Growth Rates -- 4 Limiting Direction -- 5 The Zero-Drift Case -- 6 An Arbitrary Set of Recurrent Directions -- 7 Convexity and an Upper Bound -- 8 Projection Asymptotics -- 9 The Convex Hull -- 10 Some Examples -- 11 Concluding Remarks -- A The Recurrent Case -- References -- First Passage Times of Subordinators and Urns -- 1 Introduction -- 2 A Construction of Regenerative Sets -- 2.1 The Lattice Case -- 2.2 The Continuous Case -- 2.3 Relating the Discrete and the Continuous Case -- 3 Embedded Urns -- 3.1 An Alternative Description of the Urn -- 3.2 The Stable Case. 327 $a3.3 The General Case -- 4 Proof of Theorem 1 -- References. 330 $aThis collection honours Ron Doney?s work and includes invited articles by his collaborators and friends. After an introduction reviewing Ron Doney?s mathematical achievements and how they have influenced the field, the contributed papers cover both discrete-time processes, including random walks and variants thereof, and continuous-time processes, including Le?vy processes and diffusions. A good number of the articles are focused on classical fluctuation theory and its ramifications, the area for which Ron Doney is best known. 410 0$aProgress in Probability,$x2297-0428 ;$v78 606 $aProbabilities 606 $aDiscrete mathematics 606 $aProbability Theory 606 $aDiscrete Mathematics 615 0$aProbabilities. 615 0$aDiscrete mathematics. 615 14$aProbability Theory. 615 24$aDiscrete Mathematics. 676 $a519.282 702 $aChaumont$b L$g(Loi?c), 702 $aKyprianou$b Andreas E. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910520083903321 996 $aA lifetime of excursions through random walks and Le?vy processes$92910280 997 $aUNINA LEADER 12912nam 22007335 450 001 9910735588503321 005 20251113175142.0 010 $a3-031-37649-8 024 7 $a10.1007/978-3-031-37649-8 035 $a(CKB)5580000000567067 035 $a(MiAaPQ)EBC30663093 035 $a(Au-PeEL)EBL30663093 035 $a(DE-He213)978-3-031-37649-8 035 $a(PPN)272253545 035 $a(OCoLC)1392081578 035 $a(ODN)ODN0010055006 035 $a(EXLCZ)995580000000567067 100 $a20230725d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital Interaction and Machine Intelligence $eProceedings of MIDI?2022 ? 10th Machine Intelligence and Digital Interaction ? Conference, December 12-15, 2022, Warsaw, Poland (Online) /$fedited by Cezary Biele, Janusz Kacprzyk, Wies?aw Kope?, Jan W. Owsi?ski, Andrzej Romanowski, Marcin Sikorski 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (327 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v710 311 08$a3-031-37648-X 327 $aIntro -- Foreword -- Contents -- Machine Intelligence -- Light Fixtures Position Detection Using a Camera -- 1 Introduction -- 1.1 Use Case -- 1.2 Programming Light Show -- 1.3 Light Network Control -- 2 State of the Art -- 3 Software -- 3.1 Programming Environment -- 3.2 Light Fixture Detection -- 3.3 GUI and User Input -- 4 Experiment -- 4.1 Lights Setup -- 4.2 Camera -- 5 Results -- 6 Discussion -- 7 Conclusion -- 8 Limitations -- 9 Future Research -- 10 Declarations -- References -- Improved Vehicle Logo Detection and Recognition for Complex Traffic Environments Using Deep Learning Based Unwarping of Extracted Logo Regions in Varying Angles -- 1 Introduction -- 2 Related Works -- 3 Working Methodology -- 3.1 Selected Models -- 3.2 Dataset -- 4 Results and Discussions -- 4.1 Test Cases -- 4.2 Comparative Analysis -- 4.3 Pose Variation Calculation -- 5 Conclusion and Future Work -- References -- Predicting Music Using Machine Learning -- 1 Introduction -- 2 Data -- 3 Feature Representation -- 3.1 Basic Music Notation -- 3.2 Note and Chord Representation -- 4 Methods and Modeling -- 4.1 Markov Chain Model -- 4.2 LSTM Model -- 4.3 LSTM Encoder-Decoder Model -- 4.4 Inference Modeling -- 4.5 Other Techniques -- 5 Results and Observations -- 6 Conclusion and Future Work -- References -- A Novel Process of Shoe Pairing Using Computer Vision and Deep Learning Methods -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approach -- 3.1 Deep Multiview Representation Learning -- 3.2 Clustering -- 4 Results -- 5 Conclusions -- References -- Representation of Observations in Reinforcement Learning for Playing Arcade Fighting Game -- 1 Introduction -- 2 Environment Setup for KOF '97 -- 2.1 Interaction with Arched Emulator -- 2.2 Action Space -- 2.3 Observation -- 2.4 Graphical Representation of the Input and ACT Sequences -- 2.5 Reward System. 327 $a2.6 Proposed Network Structure -- 3 Experiment -- 3.1 Training Process -- 3.2 Results -- 3.3 Discussion -- 4 Conclusions -- References -- AI4U: Modular Framework for AI Application Design -- 1 Motivation -- 2 Related Work -- 3 Proposed Approach -- 4 The Application Area -- 4.1 Watchman Scenario -- 4.2 Parkmonitor Scenario -- 4.3 Tracker Scenario -- 4.4 Mapping the Environment Scenario -- 4.5 Vehicle Counting -- 4.6 Space Surveyer -- 4.7 Mission to Mars -- 4.8 First Conclusions -- 5 Conclusions and Further Work -- References -- A Competent Deep Learning Model to Detect COVID-19 Using Chest CT Images -- 1 Introduction -- 2 Literature Review -- 3 Our Proposed Methodology -- 3.1 Dataset Description and Preprocessing -- 3.2 Methodology -- 4 Results -- 5 Future Work and Conclusion -- References -- AI in Prostate MRI Analysis: A Short, Subjective Review of Potential, Status, Urgent Challenges, and Future Directions -- 1 Introduction -- 2 The Potential of Artificial Intelligence in MpMRI Analysis -- 2.1 Prostate Segmentation -- 2.2 Prostate Lesion Detection and Characterization -- 3 Urgent Challenges -- 3.1 Datasets -- 3.2 Defining Ground Truth -- 3.3 Different Evaluation Criteria -- 3.4 Limited Multireader Studies and Prospective Evaluation -- 4 Future Directions -- 5 Conclusions -- References -- Performance of Deep CNN and Radiologists in Prostate Cancer Classification: A Comparative Pilot Study -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 Radiological Assessment Study -- 2.3 Deep CNN Model -- 2.4 Probability Mapping -- 2.5 Statistical Analysis -- 3 Results -- 3.1 Results of Raw CNN Predictions -- 3.2 CNN Performance Compared to Human Raters -- 3.3 Diagnostic Accuracy of Combined Assessment -- 4 Discussion and Conclusion -- References -- Assessing GAN-Based Generative Modeling on Skin Lesions Images -- 1 Introduction -- 2 Materials and Methods. 327 $a2.1 International Skin Imaging Collaboration Database -- 2.2 Training Details -- 2.3 Evaluation Protocol -- 3 Results -- 3.1 GANs Trainings -- 3.2 Predictive Performance with Classifier -- 3.3 Explanations of the Predictions -- 4 Discussion -- 5 Conclusions -- References -- Prostate Cancer Detection Using a Transformer-Based Architecture and Radiomic-Based Postprocessing -- 1 Introduction -- 2 Material and Methods -- 2.1 Preprocessing -- 2.2 Deep Learning Architecture -- 2.3 Optimization -- 2.4 Hyperparameter Selection -- 2.5 Postprocessing -- 3 Results and Discussion -- 4 Conclusions -- References -- Sales Forecasting During the COVID-19 Pandemic for Stock Management -- 1 Introduction -- 2 Dataset -- 3 Methodology -- 3.1 Problem Identification -- 3.2 Data Preparation -- 3.3 Exploratory Data Analysis -- 3.4 Feature Extraction -- 3.5 Dataset Separation -- 3.6 Regression and Machine Learning Model -- 3.7 Performance Evaluation -- 4 Findings and Interpretation -- 5 Conclusion -- References -- Digital Interaction -- Seeking Emotion Labels for Bodily Reactions: An Experimental Study in Simulated Interviews -- 1 Introduction -- 1.1 Research Goal and Motivation -- 1.2 Hypotheses and Research Question -- 2 Theoretical Background -- 3 Methodology -- 3.1 Experiment Design -- 3.2 Procedure -- 3.3 Participants -- 3.4 Data Collection -- 3.5 Preprocessing Data -- 3.6 Analysis -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- "NAO Says": Designing and Evaluating Multimodal Playful Interactions with the Humanoid Robot NAO -- 1 Introduction -- 2 Design and Programming -- 2.1 Design -- 2.2 Programming -- 3 Methods and Studies -- 4 Results -- 4.1 Perceptions of the NAO Robot and the Game "NAO Says" -- 4.2 Perceived Level of Stress Before and After the Game -- 5 Conclusions -- References. 327 $aRepresentation of Air Pollution in Augmented Reality: Tools for Population-Wide Behavioral Change -- 1 Introduction -- 1.1 Household Related Air Pollution -- 1.2 Air Pollution Representation -- 1.3 Augmented Reality -- 2 VAPE Augmented Reality App Design -- 2.1 Purpose of the AR Application -- 2.2 Accompanying Poster -- 2.3 Implementation of Air Pollution Visual Representation -- 2.4 Application Development and Implementation -- 3 Pretest Results -- 4 Conclusions -- References -- Ukrainian Version of the Copresence Scale -- 1 Introduction -- 2 Theoretical Context -- 2.1 War Migration from Ukraine in Poland -- 2.2 Copresence -- 2.3 Mediated Communication and War Migration -- 3 Method -- 3.1 Sample and Data Collection -- 3.2 Measures -- 3.3 Data Analysis -- 4 Results -- 4.1 Descriptive Statistics -- 4.2 Validation of the Ukrainian Perceived Copresence Scale (PCS-U) -- 5 Discussion -- References -- Modular Platform for Teaching Robotics -- 1 Motivation -- 2 Observations -- 3 Idea -- 4 Construction -- 5 Algorithm's Working Principles -- 6 Tests -- 7 Conclusions -- References -- A Method for Co-designing Immersive VR Environments with Users Excluded from the Main Technological Discourse -- 1 Introduction -- 2 Related Work -- 3 RAPID Approach Outline -- 3.1 I. Preliminary Phase: Team Formation -- 3.2 II. Main Phase: RAPID IERE Development -- 3.3 III. Closing Phase: XR Product Delivery and Testing -- 4 Discussion -- 4.1 Phase I: Team Formation -- 4.2 Phase II Development -- 4.3 Phase III Closing -- 4.4 Other Considerations -- 4.5 General Discussion -- 5 Conclusions -- References -- Improving the Usability of Requests for Consent to Use Cookies -- 1 Introduction -- 2 Privacy and Security Regulation -- 3 Dark Patterns in Cookies Consent Requests -- 4 Evaluation of Consent Requests in Lithuanian News Portals -- 5 Design Guidelines for Cookie Consent Requests. 327 $a6 Conclusions -- References -- Transdisciplinary Approach to Virtual Narratives - Towards Reliable Measurement Methods -- 1 Introduction: Motivation and Related Work -- 2 Overview of the Cinematic VR Research Method -- 2.1 The Research Application -- 2.2 Screening -- 2.3 Measures Used Before VR Experience -- 2.4 Baseline Measures -- 2.5 Cinematic VR Experience Test -- 2.6 Measures Applied After VR Experience -- 2.7 Digital Markers Calibration -- 3 Current Research - Method -- 3.1 Participants -- 3.2 Materials and Apparatus -- 3.3 Procedure -- 4 Results -- 4.1 User Experience - Experimental Setting and Equipment Evaluation -- 4.2 User State - Emotion, Arousal and Control -- 4.3 Presence -- 5 Discussion -- 6 Conclusions -- References -- Towards Gestural Interaction with 3D Industrial Measurement Data Using HMD AR -- 1 Introduction -- 2 Related Work -- 2.1 Gestural Interaction and Data Visualization in AR Systems -- 2.2 Augmented Reality in an Industrial Setting -- 3 Experimental Study Description -- 4 Results Overview -- 5 Discussion and Conclusions -- References -- Polish Adaptation of the Cybersickness Susceptibility Questionnaire (CSSQ-PL) -- 1 Introduction -- 1.1 Measuring Cybersickness -- 1.2 Predicting Cybersickness -- 2 Method -- 2.1 Participants and Apparatus -- 2.2 Measures -- 2.3 Stimuli and Procedure -- 2.4 Validation -- 3 Results -- 3.1 Language Adaptation -- 3.2 Reliability -- 3.3 Distributions -- 3.4 Validity -- 4 Discussion and Future Directions -- References -- Special Session: Advances in Collaborative Robotics -- NARX Recurrent Neural Network Model of the Graphene-Based Electronic Skin Sensors with Hysteretic Behaviour -- 1 Introduction -- 2 Graphene-Based Electronic Skin -- 3 Neural-Network Modelling -- 4 Results -- 4.1 Research Method -- 4.2 Modelling -- 4.3 Discussion -- 5 Summary -- References. 327 $aProximity Estimation for Electronic Skin Placed on Collaborative Robot Conductive Case. 330 $aThis open access book presents the proceedings of the 10th Machine Intelligence and Digital Interaction Conference. Artificial intelligence (AI) is rapidly affecting more aspects of our lives as a result of significant advancements in its research and the widespread usage of interactive technologies. This has led to the birth of several new social phenomena. Many nations have been working to comprehend these phenomena and discover solutions for moving artificial intelligence development in the proper direction to benefit individuals and communities at large. These efforts necessitate multidisciplinary approaches, encompassing not only the scientific fields involved in the creation of artificial intelligence and human?computer interaction but also strong collaboration between academics and practitioners. Because of this, the primary objective of the MIDI conference, which was conducted online on December 13?15, 2022, is to combine two up until recently distinct disciplines of research?artificial intelligence and human?technology interaction. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v710 606 $aComputational intelligence 606 $aEngineering$xData processing 606 $aMachine learning 606 $aComputational Intelligence 606 $aData Engineering 606 $aMachine Learning 615 0$aComputational intelligence. 615 0$aEngineering$xData processing. 615 0$aMachine learning. 615 14$aComputational Intelligence. 615 24$aData Engineering. 615 24$aMachine Learning. 676 $a006.3 686 $aCOM004000$aCOM018000$aTEC009000$2bisacsh 700 $aBiele$b Cezary$0913342 701 $aKacprzyk$b Janusz$021367 701 $aKope?$b Wies?aw$01255595 701 $aOwsin?ski$b J. W$g(Jan W.)$0853107 701 $aRomanowski$b Andrzej$01255596 701 $aSikorski$b Marcin$0913345 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910735588503321 996 $aDigital Interaction and Machine Intelligence$94519392 997 $aUNINA