Tabla de Contenidos: “…Kapitel 6: 3D-Objekte drucken -- 6.1 Das Slicer-Programm -- 6.2 Die verschiedenen Materialien -- 6.3 Der 3D-Druck -- 6.3.1 Vorbereitung des 3D-Druckers -- 6.3.2 Der Druckvorgang -- 6.3.3 Nachbereiten des 3D-Drucks -- 6.4 Experimente mit den Druckparametern -- 6.5 Entsorgung der Druckreste -- 6.6 Troubleshooting -- 6.6.1 Neues Filament wird eingesetzt -- 6.6.2 PLA haftet nicht -- 6.6.3 ABS haftet nicht -- 6.6.4 3D-Objekt wird unsauber gedruckt -- 6.6.5 Oberfläche des 3D-Objekts ist »hügelig« -- 6.6.6 Flexibles Filament springt aus dem Material Feeder heraus -- 6.6.7 Druckdüse verstopft -- 6.7 3D-Druck im externen Druckshop -- 6.7.1 3D-Druck im Internet -- 6.7.2 Drucken an öffentlich zugänglichen 3D-Druckern -- Kapitel 7: 3D-Objekte veredeln (Finishing) -- 7.1 Vorbehandeln mit Dremel und Feile‌ -- 7.2 ABS-Objekte mit Aceton behandeln -- 7.3 PLA-Objekte mit Heißluft behandeln -- 7.4 Arbeiten mit Lackfarben -- 7.5 Arbeiten mit Sprühfarbe aus der Dose -- Teil II: Projekte -- Kapitel 8: Rasierklingenhalter -- 8.1 3D-Modell mit SketchUp erstellen -- 8.2 3D-Druck mit PLA ohne Druckbettheizung -- 8.3 Veredeln mit Feile -- Kapitel 9: Trilobit -- 9.1 Download mit Paint 3D -- 9.2 3D-Druck mit PLA ohne Druckbettheizung -- 9.3 Veredeln mit Dremel, Farbe, Pinsel und Sprühfarbe -- Kapitel 10: Kaffeetasse -- 10.1 3D-Modell mit Blender erstellen -- 10.2 3D-Druck mit ABS mit Druckbettheizung -- 10.3 Veredeln mit dem Dremel -- Kapitel 11: Pinguin -- 11.1 3D-Modell mit Blender erstellen -- 11.2 3D-Druck mit PLA mit Druckbettheizung und Stützmaterial -- 11.3 Veredeln mit Feile und Farbe -- Kapitel 12: Ersatzteil erstellen -- 12.1 3D-Modell mit SketchUp erstellen -- 12.2 3D-Druck mit PLA ohne Druckbettheizung -- 12.3 Veredeln mit Feile -- Kapitel 13: Stilisierter griechischer Tempel -- 13.1 3D-Modell mit SketchUp erstellen -- 13.2 3D-Druck mit PLA ohne Druckbettheizung…”

Tabla de Contenidos: “…-- 8.2 Feedback‌ -- 8.3 ‌Hypothese -- 8.4 Messung‌ -- 8.5 Kontrolle der Variablen‌‌ -- 8.6 Automatisierte Tests als Experimente -- 8.7 Einordnung der Versuchsergebnisse der Tests in den Kontext -- 8.8 Der Umfang eines Experiments‌ -- 8.9 Zusammenfassung -- Teil III: Optimieren für den Umgang mit Komplexität -- Kapitel 9: Modularität -- 9.1 Merkmale von Modularität -- 9.2 Die Bedeutung von gutem Design wird unterschätzt -- 9.3 Die Bedeutung von Testbarkeit‌ -- 9.4 Für Testbarkeit zu designen verbessert die Modularität -- 9.5 Services und Modularität -- 9.6 Deploybarkeit und Modularität‌ -- 9.7 Modularität auf verschiedenen Ebenen -- 9.8 Modularität menschlicher Systeme -- 9.9 Zusammenfassung -- Kapitel 10: Kohäsion -- 10.1 ‌Modularität und Kohäsion: Grundlagen des Designs -- 10.2 Der grundlegende Abbau von Kohäsion -- 10.3 Kontext ist wichtig‌ -- 10.4 High-Performance-Software -- 10.5 Verbindung zur Kopplung…”

Tabla de Contenidos: “…-- The Nature of the Cytokines -- Biochemistry -- Mode of Action -- Principles of Cytokine Action -- Cytokine Experimentation -- Classification of the Cytokines -- Inflammatory Cytokines -- T- and B-Lymphocyte Growth Factors -- Hematopoietic Growth and Differentiation Factors -- Chemotactic Agents -- Inhibitory/Regulatory Factors -- Cytotoxic/Cytostatic Inducers and Effectors -- Other Growth Factors -- Measurement of Cytokines -- Sample Types and Preparation -- Clinical Use of Cytokines -- Cytokines and Nutrition: Author's Observations and Recommendations -- References…”

Tabla de Contenidos: “…ACPI Options -- acpi -- acpi_sleep -- acpi_sci -- acpi_irq_ balance -- acpi_irq_ nobalance -- acpi_irq_isa -- acpi_irq_pci -- acpi_os_name -- acpi_osi -- acpi_serialize -- acpi_skip_ timer_override -- acpi_dbg_layer -- acpi_fake_ecdt -- acpi_generic_ hotkey -- acpi_pm_good -- ec_intr -- memmap -- memmap -- pnpacpi -- processor.max_ cstate -- processor.nocst -- SCSI Options -- max_luns -- max_report_ luns -- scsi_dev_flags -- PCI Options -- PCI -- Plug and Play BIOS Options -- noisapnp -- pnpbios -- pnp_reserve_ irq -- pnp_reserve_ dma -- pnp_reserve_io -- pnp_reserve_ mem -- SELinux Options -- checkreqprot -- enforcing -- selinux -- selinux_ compat_net -- Network Options -- netdev -- rhash_entries -- shapers -- thash_entries -- Network File System Options -- lockd.nlm_ grace_period -- lockd.nlm_ tcpport -- lockd.nlm_ timeout -- lockd.nlm_ udpport -- nfsroot -- nfs.callback_ tcpport -- nfs.idmap_ cache_timeout -- Hardware-Specific Options -- nousb -- lp -- parport -- parport_init_ mode -- nr_uarts -- Timer-Specific Options -- enable_timer_ pin_1 -- disable_timer_ pin_1 -- enable_8254_ timer -- disable_8254_ timer -- hpet -- clocksource -- Miscellaneous Options -- dhash_entries -- elevator -- hashdist -- combined_ mode -- max_loop -- panic -- pause_on_oops -- profile -- Kernel Build Command-Line Reference -- Informational Targets -- Cleaning Targets -- Configuration Targets -- Build Targets -- Packaging Targets -- Documentation Targets -- Architecture-Specific Targets -- Analysis Targets -- Kernel Configuration Option Reference -- EXPERIMENTAL -- LOCALVERSION -- AUDIT -- IKCONFIG -- EMBEDDED -- MODULES -- IOSCHED_NOOP -- IOSCHED_AS -- IOSCHED_ DEADLINE -- IOSCHED_CFQ -- SMP -- M386 -- X86_GENERIC -- NR_CPUS -- SCHED_SMT -- PREEMPT_NONE -- PREEMPT_ VOLUNTARY -- PREEMPT -- PREEMPT_BKL -- NOHIGHMEM -- HIGHMEM4G -- HIGHMEM64G -- FLATMEM_ MANUAL…”

Tabla de Contenidos: “…Fast Bayesian Approach for Stochastic Model Updating using Modal Information from Multiple Setups -- 7.1 Introduction -- 7.2 Probabilistic consideration of frequency-domain responses -- 7.2.1 PDF of multivariate FFT coefficients -- 7.2.2 PDF of PSD matrix -- 7.2.3 PDF of the trace of the PSD matrix -- 7.3 A two-stage fast Bayesian operational modal analysis -- 7.3.1 Prediction error model connecting modal responses and measurements -- 7.3.2 Spectrum variables identification using FBSTA -- 7.3.3 Mode shape identification using FBSDA -- 7.3.4 Statistical modal information for model updating -- 7.4 Bayesian model updating with modal data from multiple setups -- 7.4.1 Structural model class -- 7.4.2 Formulation of Bayesian model updating -- 7.4.2.1 The introduction of instrumental variables system mode shapes -- 7.4.2.2 Probability model connecting 'system mode shapes' and measured local mode shape -- 7.4.2.3 Probability model for the eigenvalue equation errors -- 7.4.2.4 Negative log-likelihood function for model updating -- 7.4.3 Solution strategy -- 7.5 Numerical example -- 7.5.1 Robustness test of the probabilistic model of trace of PSD matrix -- 7.5.2 Bayesian operational modal analysis -- 7.5.3 Bayesian model updating -- 7.6 Experimental study -- 7.6.1 Bayesian operational modal analysis -- 7.6.2 Bayesian model updating -- 7.7 Concluding remarks -- 8. …”

Tabla de Contenidos: “…. -- A Comparative Study on X-ray Shielding and Mechanical Properties of Natural Rubber Latex -- Nanocomposites Containing Bi2O3 or BaSO4: Experimental and Numerical Determination -- Reprinted from: Polymers 2022, 14, 3654, doi:10.3390/polym14173654 289 -- Oscar Ram ́ırez, Mat ́ıas Leal, Ximena Briones, Marcela Urz ́ua, Sebasti ́an Bonardd and Cesar -- Sald ́ıas et al. -- New Hybrid Nanocomposites with Catalytic Properties Obtained by In Situ Preparation of Gold -- Nanoparticles on Poly (Ionic Liquid)/Poly (4-Vinylpyridine) Nanofibers -- Reprinted from: Polymers 2022, 14, 3782, doi:10.3390/polym14183782 305 -- Pablo Ramos, Tamara Calvo-Correas, Arantxa Eceiza and Javier Gonz ́alez-Benito -- Nonwoven Mats Based on Segmented Biopolyurethanes Filled with MWCNT Prepared by -- Solution Blow Spinning -- Reprinted from: Polymers 2022, 14, 4175, doi:10.3390/polym14194175 321 -- Se Jung Lee, Seo Jeong Yoon and In-Yup Jeon -- Graphene/Polymer Nanocomposites: Preparation, Mechanical Properties, and Application -- Reprinted from: Polymers 2022, 14, 4733, doi:10.3390/polym14214733 337…”

Tabla de Contenidos: “…Sierra Nevada de Santa Marta -- Página legal -- Contenido -- Abreviaturas usadas en este libro -- Introducción -- El centro experimental -- Área de estudio -- ¿Ejemplares vivos o muertos? …”

Tabla de Contenidos: “…Parameter and distance metric selection -- 6.3. Experimental results -- 6.3.1. Dataset description -- 6.3.2. …”

Tabla de Contenidos: “…Démarrage et évolution du projet de ville numérique -- a) METASA (Multimedia European Experimental Town with a Social-pull Approach) -- b) MIND (Multimedia Initiation of Digital Towns) -- c) IMAGINE (Integrated Multimedia Applications Generating Innovative Networks in European Digital... -- 2. …”

Tabla de Contenidos: “…The turbulent boundary layer wall-pressure spectrum -- Part 2: Experimental approaches…”

Tabla de Contenidos: “…7.2.4 Facial Recognition -- 7.2.5 Thumb Impression Recognition -- 7.3 Proposed Method -- 7.3.1 Mathematical Model: Pascal's Triangle Graded Mean Approach -- 7.3.2 Proposed Fuzzy Approximation Method (FAM) -- 7.3.3 Application of FAM in Facial Recognition -- 7.3.4 Application of FAM in Thumb Recognition -- 7.3.5 Proposed Algorithm and Coding -- 7.4 Experimental Analysis -- 7.5 Proposed Solution -- 7.6 Application Over Facial Recognition -- 7.7 Application of Thumb Impression Recognition -- 7.8 Advantages of the Proposed Method -- 7.9 Conclusion -- References -- Chapter 8 A Deep Learning System for Deep Surveillance -- 8.1 Introduction -- 8.2 Related Work -- 8.3 Method and Approach -- 8.3.1 Dataset Used -- 8.3.2 Mathematical Modelling -- 8.3.3 Frames Extraction and Object Detection -- 8.3.4 Image Pre-Processing -- 8.4 Model Implementations -- 8.4.1 SoftMax Regression -- 8.4.2 Support Vector Machine (SVM) -- 8.4.3 MatConvNet -- 8.4.4 CNN -- 8.4.5 Spatially-Sparse CNN -- 8.4.6 Implementation -- 8.5 Results and Comparative Analysis -- 8.6 Conclusions and Future Research Direction -- References -- Chapter 9 Study of Traditional, Artificial Intelligence and Machine Learning Based Approaches for Moving Object Detection -- 9.1 Introduction -- 9.2 Literature Review -- 9.3 Approaches for MOD -- 9.3.1 Traditional Approaches for MOD -- 9.3.1.1 Background Subtraction Methods -- 9.3.1.2 Optical Flow-Based Techniques -- 9.3.1.3 Frame Differencing and Morphological Operations -- 9.3.1.4 Challenges and Limitations -- 9.3.2 ML Approaches for MOD -- 9.3.2.1 Supervised Learning for Object Detection -- 9.3.2.2 Unsupervised Learning Approaches for Anomaly Detection -- 9.3.2.3 Transfer Learning and Domain Adaptation -- 9.3.2.4 Evaluation Metrics for ML-Based MOD -- 9.3.3 AI Approaches in MOD -- 9.3.3.1 AI-Powered Object Tracking -- 9.3.3.2 Reinforcement Learning for MOD…”

Tabla de Contenidos: “…3.1 Introduction -- 3.2 Requirement and Application -- 3.2.1 Issue-Wise Solution Approaches -- 3.2.2 Related Work -- 3.3 Strengths and Weaknesses -- 3.4 Limitations -- 3.5 Approach -- 3.5.1 Region Proposal Network and Knowledge Graph -- 3.5.2 Convolutional Neural Networks (CNNs) -- 3.5.3 Fixing the Image Capture Lag -- 3.5.4 Machine Translation Neural Networks -- 3.5.5 DeepMind's Wavenet -- 3.5.6 World Through the Looking Glass -- 3.6 Design and Implementation -- 3.6.1 Architecture Design of the Application -- 3.6.2 Details of Inputs/Data Used -- 3.6.3 Discuss Input/Output Requirements, Variables, Assumptions Related to System -- 3.6.4 Performance Evaluation -- 3.7 Experimental Results and Analysis -- 3.8 Conclusion -- References -- Chapter 4 An Artificial Intelligence Risk Assessment of a Material Handling System Using a Cost-Safety Matrix -- Introduction -- References -- Chapter 5 Sustainable Futures: Navigating Blockchain's Energy Dilemma -- 5.1 Introduction -- 5.2 Related Work -- 5.3 Understanding Blockchain Technology -- 5.4 Energy Dilemma in Blockchain Technology -- 5.4.1 Consensus Mechanisms and Energy Consumption -- 5.5 Environmental Implications -- 5.6 Sustainable Solutions in Blockchain -- 5.7 Scalability and Efficiency Issues in Greener Consensus Mechanisms -- 5.8 Blockchain's Role in Sustainable Development Goals (SDGS) -- 5.9 Industry Applications and Best Practices -- 5.9.1 Sustainable Supply Chains and Ethical Sourcing -- 5.9.2 Renewable Energy Trading and Peer-to-Peer Transactions -- 5.10 Conclusion -- References -- Chapter 6 Role of Online Social Networking in Smart Healthcare -- 6.1 Introduction -- 6.1.2 Organization of the Work -- 6.2 Evolution of Online Social Network and Smart Healthcare -- 6.2.1 Background -- 6.2.2 Benefits of Online Social Networking in Healthcare…”

Tabla de Contenidos: “…Intro -- ETAPS Foreword -- Preface -- Organization -- Contents -- Neural Flocking: MPC-based Supervised Learning of Flocking Controllers -- 1 Introduction -- 2 Background -- 2.1 Model-Predictive Control -- 2.2 Declarative Flocking -- 3 Additional Control Objectives -- 4 Neural Flocking -- 4.1 Training Distributed Flocking Controllers -- 5 Experimental Evaluation -- 5.1 Preliminaries -- 5.2 Results for Basic Flocking -- 5.3 Results for Obstacle and Predator Avoidance -- 5.4 DNC Generalization Results -- 5.5 Statistical Model Checking Results -- 6 Related Work -- 7 Conclusions -- References -- On Well-Founded and Recursive Coalgebras -- 1 Introduction -- 2 Preliminaries -- 2.1 Algebras and Coalgebras. -- 2.2 Preservation Properties. -- 2.3 Factorizations. -- 2.4 Chains. -- 3 Recursive Coalgebras -- 4 The Next Time Operator and Well-Founded Coalgebras -- 5 The General Recursion Theorem and its Converse -- 6 Closure Properties of Well-founded Coalgebras -- 7 Conclusions -- References -- Timed Negotiations* -- 1 Introduction -- 2 Negotiations: Definitions and Brexit example -- 3 Timed Negotiations -- 4 High level view of the main results -- 5 Deterministic Negotiations -- 6 Sound Negotiations -- 7 k-Layered Negotiations -- 7.1 Algorithmic properties -- 7.2 Minimal Execution Time -- 8 Conclusion -- References -- Cartesian Difference Categories -- 1 Introduction -- 2 Cartesian Differential Categories -- 2.1 Cartesian Left Additive Categories -- 2.2 Cartesian Differential Categories -- 3 Change Action Models -- 3.1 Change Actions -- 3.2 Change Action Models -- 4 Cartesian Difference Categories -- 4.1 Infinitesimal Extensions in Left Additive Categories -- 4.2 Cartesian Difference Categories -- 4.3 Another look at Cartesian Differential Categories -- 4.4 Cartesian Difference Categories as Change Action Models -- 4.5 Linear Maps and ε-Linear Maps…”

Tabla de Contenidos: “…Cover -- Contents -- Preface -- Chapter 1: Introduction -- 1.1 Mechanics, the Science of Motion -- 1.2 Time Evolution of Coordinates -- 1.3 Galileo's Law of Inertia, Newton's First Law of Motion -- 1.4 Experimental Verification of the First Law -- 1.5 Inertial Frame of Reference -- 1.6 In Search of Conservation Laws -- 1.7 Measure of Inertia, Inertial Mass -- Chapter 2: Velocity and Acceleration in Rectilinear Motion -- 2.1 Displacement-Time Graph -- 2.2 Velocity of a Particle -- 2.3 Acceleration -- 2.4 Simple Harmonic Motion -- 2.5 Worked out Examples I -- 2.6 Obtaining V,T and X,T Relations from Areas of A-T and V-T Graphs -- 2.7 Standard Kinematical Relations for Constant Acceleration -- 2.8 Velocity and Displacement for a Harmonically Varying Acceleration -- 2.9 Worked Out Examples II -- Summary -- Exercises -- Chapter 3: Vectors in Physics. …”

Tabla de Contenidos: “…7.2 An Introduction to Simulation Software -- 7.3 Numerical Studies -- 7.3.1 Design Parameters and Working Conditions in PTCs -- 7.3.2 Using Inserts in PTCs -- 7.3.3 Using Surface Modification Methods in PTCs -- 7.3.4 Using Nanofluids in PTCs -- 7.3.5 Using Nanofluids and Other Passive Methods in PTCs -- 7.3.6 PTCs Integrated into Cooling Systems -- 7.3.7 PTCs Integrated into Concentrated Solar Power Plants -- 7.3.8 PTCs Integrated into Solar-powered Cycles -- 7.3.9 PTCs Integrated into Solar Industrial Process Heat Plants -- 7.3.10 PTCs Integrated into Photovoltaic/Thermal (PV/T) System -- 7.3.11 PTCs Integrated into Desalination Systems -- 7.4 Challenges -- 7.5 Conclusion -- 7.6 Future Directions -- References -- 8 Nanofluids in Solar Thermal Parabolic Trough Collectors (PTCs) -- 8.1 Introduction -- 8.2 Fundamentals of PTCs -- 8.2.1 Components of a PTC -- 8.2.2 Mathematical Formulations of PTCs -- 8.2.3 Experimental Analysis (Standard Test Methods) -- 8.3 Heat Transfer Fluids (HTFs) in PTCs -- 8.3.1 Thermal Oils -- 8.3.2 Liquid-water Steam -- 8.3.3 Pressurized Gasses -- 8.3.4 Molten Salts -- 8.3.5 Nanofluids -- 8.4 Heat Transfer Improvement Methods in PTCs -- 8.4.1 Design Parameters -- 8.4.2 The Application of Nanofluids in PTCs -- 8.4.3 Combination of Nanofluids and Other Thermal Efficiency Enhancement Methods -- 8.5 Economic Analysis -- 8.6 Challenges -- 8.7 Conclusion -- 8.8 Future Directions -- Acknowledgment -- References -- 9 Applications of Nanotechnology in the Harvesting of Solar Energy -- 9.1 Introduction -- 9.1.1 Overview of the Status of the Solar Energy -- 9.1.2 Nanotechnology Overview -- 9.2 Solar Harvesting Technology Using Nanomaterials -- 9.3 Various Modern Solar Harvesting Technologies -- 9.3.1 Solar Collectors -- 9.3.2 Fuel Cells -- 9.3.3 Photocatalysis -- 9.3.4 Solar Photovoltaics…”

Tabla de Contenidos: “…9.3.1 Enhanced Ion Transport at Grain Boundaries -- 9.3.2 Role of GBs for Ion Migration -- 9.4 Role of Grain Boundaries in Stability -- 9.4.1 MAPbI3 Hydrated Phase at GBs -- 9.4.2 Formation of Non‐perovskite Phase at GBs of FAPbI3 -- References -- Chapter 10 Roles of Center Cations -- 10.1 Introduction -- 10.2 Cubic Perovskite Phase Tolerance Factor -- 10.3 Thin Film Stability -- 10.4 Optoelectronic Property Variations -- 10.5 Solar Cell Performance -- References -- Part II Hybrid Perovskite Solar Cells -- Chapter 11 Operational Principles of Hybrid Perovskite Solar Cells -- 11.1 Introduction -- 11.2 Operation of Hybrid Perovskite Solar Cells -- 11.2.1 Operational Principle and Basic Structures -- 11.2.2 Band Alignment -- 11.3 Band Diagram of Hybrid Perovskite Solar Cells -- 11.3.1 Device Simulation -- 11.3.2 Experimental Observation -- 11.4 Refined Analyses of Hybrid Perovskite Solar Cells -- 11.4.1 Carrier Generation and Loss -- 11.4.2 Power Loss Mechanism -- 11.4.3 e‐ARC Software -- 11.5 What Determines Voc? …”

Tabla de Contenidos: “…9.2.1.5 Generic e-Commerce Entity Model in Pharmaceutical Industry -- 9.2.2 Analyzing the Usability of Quantum Netnomics in Attending Economic Development -- 9.2.2.1 Theory of 4Ps in Pharma Marketing Mix -- 9.2.2.2 Buying Behavior of the e-Consumers -- 9.2.2.3 Maintaining of Privacy and Security via Quantum Technology in e-Structure -- 9.2.2.4 Interface Influencing Sales -- 9.3 Results -- 9.4 Conclusion -- References -- Chapter 10 Machine Learning Approach in the Indian Service Industry: A Case Study on Indian Banks -- 10.1 Introduction -- 10.2 Literature Survey -- 10.3 Experimental Results -- 10.4 Conclusion -- References -- Chapter 11 Accelerating Drug Discovery with Quantum Computing -- 11.1 Introduction -- 11.2 Working Nature of Quantum Computers -- 11.3 Use Cases of Quantum Computing in Drug Discovery -- 11.4 Target Drug Identification and Validation -- 11.5 Drug Discovery Using Quantum Computers is Expected to Start by 2030 -- 11.6 Conclusion -- References -- Chapter 12 Problems and Demanding Situations in Traditional Cryptography: An Insistence for Quantum Computing to Secure Private Information -- 12.1 Introduction to Cryptography -- 12.1.1 Confidentiality -- 12.1.2 Authentication -- 12.1.3 Integrity -- 12.1.4 Non-Repudiation -- 12.2 Different Types of Cryptography -- 12.2.1 One-Way Processing -- 12.2.1.1 Hash Function (One-Way Processing) -- 12.2.2 Two-Way Processing -- 12.2.2.1 Symmetric Cryptography -- 12.2.2.2 Asymmetric Cryptography -- 12.2.3 Algorithms Types -- 12.2.3.1 Stream Cipher -- 12.2.3.2 Block Cipher -- 12.2.4 Modes of Algorithm -- 12.2.4.1 Cipher Feedback Mode -- 12.2.4.2 Output Feedback Mode -- 12.2.4.3 Cipher Block Chaining Mode -- 12.2.4.4 Electronic Code Book -- 12.3 Common Attacks -- 12.3.1 Passive Attacks -- 12.3.1.1 Traffic Analysis -- 12.3.1.2 Eavesdropping -- 12.3.1.3 Foot Printing -- 12.3.1.4 War Driving…”

Tabla de Contenidos: “…Front Cover -- Computation and Modeling for Fractional Order Systems -- Copyright -- Contents -- List of contributors -- 1 Response time and accuracy modeling through the lens of fractional dynamics -- 1.1 Introduction -- 1.1.1 Historical foundation and applications of sequential sampling theory -- 1.1.2 Lévy flight models as an extension of diffusion models -- 1.2 Lévy-Brownian model as a model with both Lévy and diffusion properties -- 1.3 A tutorial on how to fit the Lévy-Brownian model -- 1.3.1 First-passage time approximation -- 1.3.2 Likelihood construction -- 1.4 Fitting to experimental data -- 1.5 Discussion -- 1.6 Conclusion -- References -- 2 An efficient analytical method for the fractional order Sharma-Tasso-Olever equation by means of the Caputo-Fabrizio deriv... -- 2.1 Introduction -- 2.2 Progress of fractional derivatives in the absence of singular kernel -- 2.3 Fundamental scheme of the modified form of HATM with new derivative -- 2.4 Analysis of MHATM with Caputo-Fabrizio derivative -- 2.5 Numerical solution of the time-fractional STO equation -- 2.5.1 Numerical discussion -- 2.6 Comparison of MHATM with VIM, ADM, HPM, RPSM, and the exact solution when μ=1 -- 2.7 L2 and L∞ error norms for the STO equation -- 2.8 Conclusion -- References -- 3 Fractional modeling approaches to transport phenomena -- 3.1 Introduction -- 3.2 Construction of non-local dynamic models -- 3.2.1 Causality -- 3.2.1.1 Mathematical aspects of causality -- 3.2.2 Constitutive modeling -- 3.2.2.1 Frame indifference -- 3.2.2.2 Principle of determinism -- 3.2.2.3 A thermodynamic constraint: the dissipation principle -- 3.2.2.4 Simple materials -- 3.2.3 Fading memory concept and formalism -- 3.2.3.1 Diffusion-flux relationship: the fading memory concept -- 3.2.3.2 Boltzmann's superposition -- 3.2.3.3 Simple heat conduction example: Cattaneo's approach…”

Tabla de Contenidos: “…8.2.2.2 Pretrained Networks -- 8.3 Experimental Results and Analysis -- 8.4 Conclusion and Discussion -- Acknowledgments -- References -- Chapter 9 Making Invisible Bluewater Visible Using Machine and Deep Learning Techniques-A Review -- 9.1 Introduction -- 9.1.1 Why is It Difficult to Measure Subsurface Groundwater? …”

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