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Recent Advances in Computational Optimization : Selected Papers from the WCO 2022 - Workshop on Computational Optimization
Recent Advances in Computational Optimization : Selected Papers from the WCO 2022 - Workshop on Computational Optimization
Autore Fidanova Stefka
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (323 pages)
Collana Studies in Computational Intelligence Series
ISBN 3-031-57320-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Application of Intuitionistic Fuzzy Logic to Identify Important Functional Performance Indicators in Case of Youth Hockey Players -- 1 Introduction -- 2 Materials and Methods -- 2.1 Methodology of Conducting the Sports-Pedagogical Tests -- 2.2 InterCriteria Analysis Background -- 3 Results -- 3.1 Results of the Conducted Tests -- 3.2 Results of the ICrA -- 3.3 Results of the Applied Statistical Methods -- 4 Conclusions -- References -- Applicability of the CHIRPS Precipitation Product in the Regional Climatology of Southeast Europe -- 1 Introduction -- 2 Data and Methods -- 3 Calculations and Results -- 4 Conclusion -- References -- Mathematical Modeling and Static Characteristics of the Anaerobic Digestion of Organic Wastes with Production of Hydrogen and Methane -- 1 Introduction -- 2 Process Description -- 3 Static Characteristics of Two-Stage AD Process -- 3.1 Mathematical Model of Two-Stage AD Process Without Hydrolysis Phase -- 3.2 Mathematical Model of Two-Stage AD Process with Hydrolysis Phase -- 3.3 Mathematical Model of Two-Stage AD Process with Substrate Inhibition -- 3.4 Mathematical Model of Two-Stage AD Process Including Propionate Dynamics -- 3.5 Mathematical Model of Two-Stage AD Process Including Butyrate Dynamics -- 4 Conclusion -- References -- Towards the Analysis of Longitudinal Data in Knowledge Graphs on Job Ads -- 1 Introduction -- 2 Background -- 2.1 Integrating Job and Training Advertisements -- 3 Preliminaries -- 4 Method -- 5 Experimental Results -- 6 Discussion and Outlook -- References -- Workforce Allocation for Social Engagement Services via Stochastic Optimization -- 1 Introduction -- 2 Related Works -- 3 The Social Engagement Optimization Problem -- 4 Mathematical Model -- 4.1 An Analytical Solution for the Single-Candidate SEOP.
5 Approximation-Based Solution Approach -- 6 Experimental Results and Analyses -- 6.1 Data Generation -- 6.2 Results and Discussion -- 7 Conclusions and Future Works -- References -- Application of Methaeuristics for Agricultural System Modelling -- 1 Introduction -- 2 Problem Formulation -- 2.1 Problem Definition -- 2.2 Impute Data for the Model -- 3 Ant Colony Optimization Algorithm -- 3.1 Traditional ACO Algorithm -- 3.2 Ant Algorithm for Agricultural Modeling -- 4 Model Testing and Discussion -- 4.1 Small Test Instances Testing for Cereals -- 4.2 Large Test Instances Testing for Cereals -- 4.3 Tests for Vegetable Crops -- 5 Conclusion -- References -- Subcaterpillar Isomorphism: Subtree Isomorphism for Rooted Labeled Caterpillars -- 1 Introduction -- 2 Preliminaries -- 3 Tree Inclusion and Caterpillar Inclusion -- 4 Algorithms for Subcaterpillar Isomorphism -- 4.1 Subcaterpillar Isomorphism -- 4.2 Subcaterpillar Isomorphism Between Caterpillars -- 5 Experimental Results -- 5.1 Subcaterpillar Isomorphism for Artificial Data -- 5.2 Subcaterpillar Isomorphism for Real Data -- 5.3 Subcaterpillar Isomorphism Between Caterpillars for Artificial Data -- 5.4 Subcaterpillar Isomorphism Between Caterpillars for Real Data -- 6 Conclusion and Future Works -- References -- Optimization, Performance and Scalability Experiments of a Large Air Pollution Model by Using the EuroHPC Petascale Supercomputer DISCOVERER -- 1 Introduction -- 2 Description and Numerical Treatment of the Danish Eulerian Model -- 2.1 Mathematical Representation of UNI-DEM -- 2.2 Splitting into Submodels -- 2.3 Discretization and Numerical Methods Applied in the Submodels -- 3 Parallel Implementation of the Model -- 4 Numerical Experiments with UNI-DEM on the IBM MareNostrum III Supercomputer at BSC - Barcelona, Spain.
5 Numerical Experiments with UNI-DEM on the EuroHPC Supercomputer DISCOVERER in Bulgaria -- 6 Discussion -- References -- Software Tool for Optimizing Cycling Route by Defining Cyclist Air Pollution Exposure -- 1 Introduction -- 2 Problem Definition -- 3 Input Data for the Model -- 4 Study Design -- 4.1 Calculation Method for Inhalation Dose and Ventilation Rate -- 4.2 Software Concept -- 4.3 The K-Shortest Paths with Limited Overlap Path Finding Algorithm -- 4.4 PM Measurements Form Fixed Sensors -- 4.5 Using Portable Wearables to Measure PM Exposure -- 4.6 PM Measurements and Calibration of Decision-Making Mechanism -- 4.7 Study Routes -- 4.8 Field Tests and Participants -- 5 Results and Discussion -- 5.1 PM1 and PM2.5 Concentrations from Mobile Measurements -- 5.2 Ventilation Rate -- 5.3 Bike Route Visualisation by Incorporating Stationary Sensor Data -- 5.4 Model Refinement and Evaluation of Mobile and Stationary Sensor Data -- 6 Conclusion and Future Research -- References -- Surrogate Estimators for Complex Bi-level Energy Management -- 1 Introduction -- 2 The CVREP: Collaborative Vehicle Routing Energy Production Problem -- 2.1 The CVREP Problem -- 2.2 A Compact Bi-level Formulation -- 2.3 Strong No-Sub-Tour Constraints -- 3 The Collaborative Issue -- 4 A Parametric Surrogate Estimator Approach -- 4.1 Solving PReload (, ) -- 4.2 Deriving Surrogate Estimator Resolution Scheme -- 5 A Neural Network Oriented Approach -- 6 A Reinforcement Learning Oriented Approach -- 7 QCVREP() as a Path Search Problem -- 7.1 The CVREP() Path Search Formulation -- 7.2 An A* Based Shortest Path Algorithm -- 8 Numerical Experiments -- 9 Conclusion -- References -- An Application of the Temporal Intuitionistic Fuzzy Algorithm for Franchisee Selection in a Fast-Food Restaurant Chain -- 1 Introduction -- 2 Basic Definitions.
2.1 Temporal Intuitionistic Fuzzy Pair (TIFP) -- 2.2 Three-Dimensional Temporal Intuitionistic Fuzzy Index Matrices (3-D TIFIM) -- 3 Theoretical Framework for Selecting the Optimal Franchise Candidate (OTIFAFr) and the Software for Solution for Fast-Food Restaurant Chains -- 3.1 Theoretical Framework for Selecting the Optimal Franchise Candidate (OTIFAFr) -- 3.2 Optimal Temporal Intuitionistic Fuzzy Algorithm for Franchisee Selection (OTIFAFr). Software Implementation -- 4 A Practical Framework for Fast-Food Restaurant Chains for the Franchisee Selection Process -- 5 Conclusion -- References -- An Application of the Intuitionistic Fuzzy Approach to the Hungarian Algorithm for the Travelling Salesman Problem -- 1 Introduction -- 2 TIFP and Index Matrices -- 2.1 Temporal Intuitionistic Fuzzy Pair (TIFP) -- 2.2 Temporal Intuitionistic Fuzzy Index Matrix (TIFIM) -- 3 An Optimal Temporal Intuitionistic Fuzzy Hungarian Algorithm for Travelling Salesman Problem -- 3.1 An Optimal Temporal Intuitionistic Fuzzy HA for the TSP -- 3.2 A Software Implementation of TIFHA-TSP -- 3.3 An Example Application of TIFHA-TSP -- 4 Conclusion -- References -- On a Full Stochastic Optimization Approach for European Option Pricing -- 1 Introduction -- 2 Problem Settings -- 3 Stochastic Methods -- 4 Numerical Examples and Results -- 4.1 Latin Hypercube Sampling -- 4.2 Halton Sequence -- 4.3 Sobol Sequence -- 5 Conclusion -- References -- Advanced Methods and Algorithms to Study the High Pollutant Concentrations in Europe -- 1 Introduction -- 1.1 Definition of the Global Sensitivity Analysis-Sobol Approach -- 1.2 Small in Value Sensitivity Indices -- 2 Improving the Numerical Algorithms for the Digital Twin -- 2.1 Optimization by Scrambling and Shifting -- 3 Investigation of the High Ozone Concentrations Using UNI-DEM -- 4 Sensitivity Study of UNI-DEM.
4.1 Sensitivity Studies with Respect to Emission Levels -- 4.2 Sensitivity Studies with Respect to Chemical Reactions Rates -- 5 Conclusion -- References -- Advanced Stochastic Sequences for Multidimensional Integrals Used in Neural Networks -- 1 Introduction -- 2 The Stochastic Approaches -- 2.1 The Hammersley Sequence -- 2.2 The Lattice Sequence -- 3 Numerical Results -- 4 Conclusion -- References -- Application of an Inverse Dirichlet's Principle to Discrete Recreational Problems: Bound Estimation's Optimization Using Combinatorial Probability and Comparison of Numerical Bound Estimation Using Various Algorithms, Including Recursive Inclusion-Exclusion Principle -- 1 Introduction -- 2 An Original Dirichlet's Principle Definition and Selected Recreational Mathematics Applications -- 3 An Inverse Dirichlet's Principle Definition and Stochastic Combinatorial Approach to Selected Applications of the Principle -- 3.1 An Inverse Dirichlet's Principle Definition -- 3.2 An Unoccupied Doubleseat Problem -- 3.3 An Unoccupied l-Seat Problem -- 4 Conclusions -- References -- Author Index.
Record Nr. UNINA-9910847088603321
Fidanova Stefka  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Recent Advances in Computational Optimization : Results of the Workshop on Computational Optimization WCO 2020
Recent Advances in Computational Optimization : Results of the Workshop on Computational Optimization WCO 2020
Autore Fidanova Stefka
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2022
Descrizione fisica 1 online resource (487 pages)
Collana Studies in Computational Intelligence Ser.
Soggetto genere / forma Electronic books.
ISBN 9783030823979
9783030823962
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910513578403321
Fidanova Stefka  
Cham : , : Springer International Publishing AG, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Advances in Gearing : Scientific Theory and Applications
Recent Advances in Gearing : Scientific Theory and Applications
Autore Radzevich Stephen P
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (560 pages)
Disciplina 621.833
Soggetto genere / forma Electronic books.
ISBN 3-030-64638-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Introduction -- Historical Background -- Uniqueness of this Publication -- Intended Audience -- Organization of this Book -- Contents -- Editors and Contributors -- Chapter 1: Kinematic Foundations of Scientific Classification of Gearing -- 1.1 Introduction -- 1.1.1 Vector Diagram of Gear Pair -- 1.1.1.1 Vector Diagram of Gear Pair Having Zero Complementary Degrees-of-Freedom -- 1.1.1.2 Concept of Vector Representation of Gear Pair Kinematics -- 1.1.1.3 Vector Diagram of Gear Pair Having a Plurality of Complementary Degrees-of-Freedom -- 1.1.2 Classification of Gear Vector Diagrams -- 1.1.2.1 Gear Vector Diagrams for Three-Degree-of-Freedom Gearing -- 1.1.2.2 Gear Vector Diagrams for Two-Degree-of-Freedom Gearing -- 1.1.2.3 Gear Vector Diagrams for One-Degree-of-Freedom Gearing -- 1.1.2.4 Gear Vector Diagrams for Zero-Degree-of-Freedom Gearing (with no Complementary DoF) -- 1.1.3 Line of Contact of Favorable Geometry in a Gear Pair -- 1.1.4 On Classification of Approximate Gearing -- 1.1.4.1 Origination of the Term ``Gear Generic Surface´´ -- 1.1.4.2 Evaluation of the Total Number of Possible Geometries of Gear Generic Surfaces -- 1.1.4.3 Possible Geometries of Axial Profile of Gear Generic Surfaces -- 1.1.4.4 Profile of Gear Generic Surface Constructed in Section by Plane at an Angle to Gear Axis -- 1.1.5 Possibility of Classification of Approximate Gearing -- 1.1.6 Examples of Implementation of Classification of Approximate Gearing -- 1.2 Concluding Remarks -- References -- Chapter 2: Theory and Applications Based on S-Gear Geometry -- 2.1 Introduction -- 2.1.1 Plastic Gears: Lifetime Testing -- 2.1.2 Planocentric Gearboxes with S-Gear Geometry -- 2.2 S-Gears Geometrical and Thermal Properties -- 2.2.1 Thermal Properties -- 2.2.2 Analytical Approach -- 2.3 Testing of Plastic Gears -- 2.3.1 Gear Geometry and Manufacturing.
2.3.2 Testing Arrangement -- 2.3.3 Experimental Results -- 2.3.4 Wear Detection -- 2.4 Planocentric Gearbox with S-Gear Geometry -- 2.4.1 Kinematic Circumstances -- 2.4.2 Gradual Development -- 2.4.3 Backlash and Stiffness -- 2.4.4 Kinematic Error -- 2.4.5 Influence of Geometric Tolerances -- 2.4.6 Single Pitch Deviation and Runout -- 2.5 Conclusion -- References -- Chapter 3: Kinematic Pairs: Novel Kinds and Classification -- 3.1 Introduction -- 3.1.1 Kinematic Pairs: Basics -- 3.1.2 Traditional Approach to Design and Analysis of Kinematic Pairs -- 3.1.3 Instantaneous Kinematics (Mobility) in Kinematic Pairs -- 3.1.4 Contact Geometry in Kinematic Pairs -- 3.1.4.1 Dupin indicatrix at Point of Functional Surface -- 3.1.4.2 Indicatrix of Conformity at Point of Contact of Two Functional Surfaces -- 3.1.5 Kinds of Functional Surfaces -- 3.1.6 Kinds of Kinematic Pairs -- 3.1.6.1 Kinematic Pairs that Feature ``Point-Contact´´ between Functional Surfaces -- Kinematic Pairs with True-Point-Contact of Functional Surfaces -- Kinematic Pairs with Locally-Line-Contact of Functional Surfaces -- Locally Surface-to-Surface Contact Kinematic Pairs I -- Conformity Criterion in Kinematic Pairs -- Kinds of High-Conformal Point-Contact Kinematic Pairs I -- 3.1.6.2 Kinematic Pairs that Feature ``Line-Contact´´ between the Functional Surfaces -- Kinematic Pairs with True-Line-Contact of Functional Surfaces -- Locally Surface-to-Surface Contact Kinematic Pairs II -- High-Conformal Point-Contact Kinematic Pairs II -- 3.1.6.3 Kinematic Pairs that Feature ``Surface-to-Surface-Contact´´ between Functional Surfaces -- 3.1.7 Classification of Kinematic Pairs -- 3.2 Concluding Remarks -- References -- Further Readings -- Chapter 4: High-Performance Plastic Gears -- 4.1 Introduction -- 4.1.1 State of the Art and Application of Plastic Gears -- 4.1.1.1 Materials and Properties.
4.1.1.2 Manufacturing -- 4.1.1.3 Design -- 4.1.1.4 Fields of Application -- 4.1.2 Design and Calculation Methods for Plastic Gear Applications -- 4.1.2.1 Tooth Temperature -- 4.1.2.2 Tooth Load Carrying Capacity Acc. To VDI 2736 -- Tooth Root Load Carrying Capacity -- Tooth Flank Load Carrying Capacity -- Frictional Wear Load Carrying Capacity -- 4.1.3 Recent Research Results -- 4.1.3.1 Thermal Behavior -- 4.1.3.2 Low Loss Plastic Gears -- 4.1.3.3 Tooth Root Load Carrying Capacity -- 4.1.3.4 Flank Load Carrying Capacity -- 4.1.3.5 Tribology -- 4.1.4 Challenges for the Future Application of Plastic Gears -- 4.2 Conclusion -- References -- Chapter 5: Application of Task-Based Conceptual Design Method for Gear Chamfering Mechanisms -- 5.1 Introduction -- 5.1.1 Task-Based Design Review -- 5.1.1.1 Task-Based Conceptual Design -- 5.1.1.2 Task-Based Analyses of Mechanical Objects -- 5.1.1.3 Task-Based Parametric Design and Optimization -- 5.1.1.4 Novel Task-Based Conceptual and Parametric Design Method -- 5.1.1.5 Tasks and Objectives -- 5.1.2 Theoretical Background of Current Chapter -- 5.1.2.1 Author´s Experience -- 5.1.2.2 ``Construction Bricks´´ -- 5.1.2.3 Building of a Mechanism -- 5.1.2.4 Visualization -- 5.1.2.5 Composition of Models -- 5.1.2.6 Synthesis Tools and Design Cycles -- 5.1.2.7 Modification Formats: Synthesis -- 5.1.2.8 Modification Formats: Analyses -- 5.1.2.9 Modification Formats: Parametric Design -- 5.1.3 Analyses of Gear Chamfering Methods -- 5.1.3.1 Set of Functions Describing Gear Chamfering Methods -- 5.1.3.2 Construction of a Point Model as Merit for Analyzing Gear Chamfering Methods (Table 5.1) -- 5.1.3.3 Mathematical and Physical Connections between Revealed Parameters of Gear Chamfering Methods -- 5.1.3.4 End Mill Gear Chamfering Method Analyses (Table 5.2) -- 5.1.3.5 Comb Mill Gear Chamfering Method Analysis (Table 5.3).
5.1.3.6 Plastic Deformer Gear Chamfering Method Analyses (Table 5.4) -- 5.1.3.7 Short Conclusions on Analyses -- 5.1.4 Synthesis of Gear Chamfering Mechanisms -- 5.1.4.1 Construction of a Linear Model for Synthesizing Gear Chamfering Methods (Table 5.5) -- 5.1.4.2 Using the Database for Completing Linear Model -- 5.1.4.3 Mathematical Expressions -- 5.1.4.4 Gear Chamfering Mechanism: Gear Engagement + Equidistant Tracking (Table 5.6) -- 5.1.4.5 Gear Chamfering Mechanism: Gear Engagement + Helical Movement (Table 5.7) -- 5.1.5 Parametric Design of Gear Chamfering Mechanisms -- 5.1.5.1 Task of Parametric Design and Optimization -- 5.1.5.2 Classical Approach of Parametric Design -- 5.1.5.3 Alternative Approach of Parametric Design -- 5.1.5.4 Procedure of Suggested Parametric Design -- 5.1.5.5 Surface Micro-Roughness -- 5.1.5.6 Procedure of Implementation of Suggested Parametric Design (Table 5.8) -- 5.2 Concluding Remarks -- References -- Chapter 6: A Brief Overview of the Evolution of the Scientific Theory of Gearing -- 6.1 Introduction -- 6.1.1 Main Periods in the Evolution of the Theory of Gearing -- 6.1.1.1 Pre-Eulerian Period of Evolution of the Gear Art -- 6.1.1.2 The Time when the Fundamental Contribution by L. Euler Has Been Done - The Origin of the Scientific Theory of Gearing -- Involute Tooth Profile for Parallel-Axes Gearing -- The Euler-Savary Formula -- Leonhard Euler and the Euler-Savary Formula -- 6.1.2 Accomplishments in the Theory of Gearing in the Time of the Fundamental contribution by L. Euler Are Briefly Summarized ... -- 6.1.2.1 Post-Eulerian Period of Evolution of the Theory of Gearing -- Robert Willis and the Fundamental Theorem of Parallel-Axes Gearing -- A Mistake Committed (1842) by Theodore Olivier -- Miscellaneous Improvements to the Gear Art -- The Research Carried out by Chaim Gochman.
Equality of Base Pitches in Geometrically Accurate Parallel-Axes Gearing -- Tooth Flank Geometry in Geometrically Accurate Intersected-Axes Gearing -- Shishkov Equation of Contact, n VSigma = 0 -- Principal Planes and Reference Systems Associated with Gearing -- Contact Geometry: Indicatrix of Conformity at Point of Contact of Tooth Flanks -- Condition of Conjugacy pln x Vm ng = 0 of Interacting Tooth Flanks for Gearing of all Kinds -- Angular Base Pitches: Operating Angular Base Pitch in a Gear Pair -- Crossed-Axes Gearing with Line Contact between the Tooth Flanks (R-Gearing) -- Scientific Classification of Gearing -- Geometrically Accurate Real Gearing -- Generalized Form of Equation of Conjugacy of Interacting Tooth Flanks: For Gearing of all Kinds -- 6.1.3 Other Contributions to the Field of Geometrically Accurate Gearing -- 6.1.3.1 Grant Bevel Gearing -- 6.1.3.2 Contribution by Professor N.I. Kolchin -- 6.1.3.3 Novikov Conformal Gearing -- 6.1.3.4 Contribution by Professor V.a. Gavrilenko -- 6.1.3.5 Contribution by Jack Phillips -- 6.1.3.6 Contribution by Walton Musser -- 6.1.4 Developments in the Field of Approximate Gearing -- 6.1.4.1 Samuel Cone Double-Enveloping Worm Gearing -- 6.1.4.2 Approximate Bevel Gearing -- 6.1.4.3 Approximate Crossed-Axes Gearing -- 6.1.4.4 Face Gearing -- 6.1.5 Theory of Gearing at the Beginning of the Twenty-First Century: State of the Art -- 6.1.6 Favorable Approximate Gearing -- 6.1.7 Accomplishments in the Field of ``Non-circular´´ Gearing -- 6.1.8 Tentative Chronology of the Evolution of the Theory of Gearing -- 6.1.9 On Other Efforts that Pertain to the Evolution of the Scientific Theory of Gearing -- 6.2 Concluding Remarks -- References -- Further Readings -- Chapter 7: Hyperboloid-Type Hobs: Design, Manufacture, and Application -- 7.1 Introduction.
7.1.1 Accuracy and Performance of Hyperboloid-Type Hobs.
Record Nr. UNINA-9910497107803321
Radzevich Stephen P  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Recent Advances in Industrial and Applied Mathematics [[electronic resource]]
Recent Advances in Industrial and Applied Mathematics [[electronic resource]]
Autore Chacón Rebollo Tomás
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2022
Descrizione fisica 1 online resource (276 p.)
Altri autori (Persone) DonatRosa
HiguerasInmaculada
Collana SEMA SIMAI Springer
Soggetto topico Matemàtica aplicada
Soggetto genere / forma Congressos
Llibres electrònics
Soggetto non controllato Mathematical Modeling
Industrial and Environmental Mathematics
Mathematical Biology and Medicine
Reduced Order Modeling
Cryptography
ISBN 3-030-86236-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996472036503316
Chacón Rebollo Tomás  
Cham, : Springer International Publishing AG, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Recent Advances in Industrial and Applied Mathematics [[electronic resource]]
Recent Advances in Industrial and Applied Mathematics [[electronic resource]]
Autore Chacón Rebollo Tomás
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2022
Descrizione fisica 1 online resource (276 p.)
Altri autori (Persone) DonatRosa
HiguerasInmaculada
Collana SEMA SIMAI Springer
Soggetto topico Matemàtica aplicada
Soggetto genere / forma Congressos
Llibres electrònics
Soggetto non controllato Mathematical Modeling
Industrial and Environmental Mathematics
Mathematical Biology and Medicine
Reduced Order Modeling
Cryptography
ISBN 3-030-86236-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910558693703321
Chacón Rebollo Tomás  
Cham, : Springer International Publishing AG, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Advances in Industrial Biochemistry
Recent Advances in Industrial Biochemistry
Autore Hashmi Muhammad Zaffar
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (447 pages)
Altri autori (Persone) SaeedAamer
MusharrafSyed Ghulam
ShuhongWang
ISBN 3-031-50989-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910857792803321
Hashmi Muhammad Zaffar  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Recent Advances in Logo Detection Using Machine Learning Paradigms : Theory and Practice
Recent Advances in Logo Detection Using Machine Learning Paradigms : Theory and Practice
Autore Chen Yen-Wei
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (128 pages)
Altri autori (Persone) RuanXiang
JainRahul Kumar
Collana Intelligent Systems Reference Library
ISBN 3-031-59811-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- About the Authors -- 1 Deep Convolutional Neural Networks -- 1.1 Deep Learning Frameworks -- 1.1.1 Core Component and Key Elements of Deep Learning -- 1.2 Feature Extraction Networks -- 1.2.1 VGG: Very Deep Convolutional Networks for Large-Scale Image Recognition -- 1.2.2 Residual Networks -- 1.2.3 Deep Layer Aggregation Networks -- 1.2.4 Hourglass Framework -- 1.3 Object Detection Frameworks: Detection Head -- 1.3.1 Detection Head Functionality in Object Detection Frameworks -- 1.3.2 Anchor Box-Based Detection Frameworks -- 1.3.3 Anchorfree Detection Frameworks -- 1.4 Summary -- References -- 2 Introduction to Logo Detection -- 2.1 Logo Detection and Its Applications -- 2.2 Logo Detection Challenges -- 2.3 Related Work in Logo Detection -- 2.3.1 Deep Learning for Logo Detection -- 2.4 Proposed Approaches for Logo Detection -- 2.5 Summary -- References -- 3 Weakly Supervised Logo Detection Approach -- 3.1 Weakly-Supervised Logo Detection Using Image-Level Annotation -- 3.2 Attention Mechanisms -- 3.3 Weakly Supervised Logo Detection with Dual-Attention Dilated Residual Network -- 3.3.1 Feature Extraction Backbone Network -- 3.3.2 Spatial Attention Mechanism -- 3.3.3 Channel Attention Mechanism -- 3.3.4 Gradient-Based Grad-CAM for Localization of Logos -- 3.3.5 Implementation of Channel and Spatial Attention -- 3.4 Experiments and Results -- 3.4.1 Implementation -- 3.4.2 Dataset -- 3.4.3 Evolution Measures -- 3.4.4 Comparison with Different Attention Modules -- 3.5 Summary -- References -- 4 Anchorfree Logo Detection Framework -- 4.1 Dual-Attention LogoNet for Logo Detection -- 4.1.1 Overview of the Logo Detection Framework -- 4.1.2 Layer-Aggregated Hourglass Style Feature Extraction Network -- 4.1.3 Attention Modules -- 4.1.4 Detection Head -- 4.1.5 Overall Framework of Dual-Attention LogoNet.
4.1.6 Lightweight CNNs Network Architecture for Practical Applications -- 4.1.7 Experiments and Results -- 4.1.8 Implementation -- 4.1.9 Evaluation on FlickrLogos-32 Dataset -- 4.1.10 Evaluation with Lightweight CNNs Method -- 4.2 Summary -- References -- 5 Mitigating Domain Shift in Logo Detection: An Adversarial Learning-Based Approach -- 5.1 Domain Shift Problem -- 5.2 Domain Adaptation for Computer Vision Tasks -- 5.3 Related Work: Domain Adaptation -- 5.4 Adaptation Using Anchorfree Object Detector for Logo Detection -- 5.5 Evaluation with Adversarial-Based Domain Adaptation Using LogoNet -- 5.5.1 Experiments and Results -- 5.6 Summary -- References -- 6 Unsupervised Logo Detection with Adversarial Domain Adaptation from Synthetic to Real Images -- 6.1 Unsupervised Domain Adaptation: Synthetic to Real Logo Detection -- 6.2 Synthesize Images to Avoid Manual Annotation Task -- 6.2.1 Synthetic Logo Images -- 6.3 Domain Alignment Using Entropy Minimization -- 6.3.1 Entropy Minimization -- 6.3.2 Entropy Minimization Maps Using Mid-Level Feature from Synthetic to Real Logo Images -- 6.4 Experiments and Results -- 6.4.1 Datasets -- 6.4.2 Implementation Details -- 6.5 Summary -- 6.6 Discussion and Future Recommendations -- References.
Record Nr. UNINA-9910865235503321
Chen Yen-Wei  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Recent Developments in Earthquake Seismology : Present and Future of Seismological Analysis
Recent Developments in Earthquake Seismology : Present and Future of Seismological Analysis
Autore Kumar Rohtash
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (202 pages)
Altri autori (Persone) SinghRaghav
KanhaiyaShyam
MauryaSatya Prakash
ISBN 3-031-47538-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Acknowledgments -- Contents -- List of Figures -- List of Tables -- Chapter 1: Earthquake Occurrence Models -- 1.1 Introduction -- 1.1.1 Constant Seismicity (CS) Model -- 1.1.2 Constant Moment Release (CMR) Model -- 1.2 Seismic Hazard Parameter Estimation -- 1.3 Probabilistic Seismic Hazard Assessment (PSHA) -- 1.4 Conclusion -- References -- Chapter 2: Estimation and Validation of Arias Intensity Relation Using the 1991 Uttarkashi and 1999 Chamoli Earthquakes Data -- 2.1 Introduction -- 2.2 Seismotectonic and Data Set -- 2.3 Methodology -- 2.4 Results and Discussion -- 2.5 Conclusions -- References -- Chapter 3: Exploring the Concept of Self-Similarity and High-Frequency Decay Kappa-Model and fmax-Model Using Strong-Motion Su... -- 3.1 Introduction -- 3.2 Data Set -- 3.3 High-Frequency Spectral Decay Models -- 3.3.1 fmax-Model -- 3.3.2 κ-model -- 3.4 Results and Discussion -- 3.4.1 fmax-Model -- 3.4.2 κ-Model Results -- 3.4.3 Stress Drops and Self-Similarity -- 3.5 Conclusion -- 3.5.1 Data and Resources -- References -- Chapter 4: Body Waves- and Surface Waves-Derived Moment Tensor Catalog for Garhwal-Kumaon Himalayas -- 4.1 Introduction -- 4.2 Tectonic Settings -- 4.3 Data -- 4.3.1 Data Preparation -- 4.4 Methodology -- 4.4.1 CAP Approach -- 4.4.2 Preparing Synthetic Seismogram -- 4.4.3 Model Used -- 4.4.4 Grid Search Moment Tensor (MT) Inversion: -- 4.4.4.1 Misfit Function -- 4.4.4.2 Scaling the Misfit Function -- 4.5 Results -- 4.6 Discussion -- 4.7 Conclusion -- References -- Chapter 5: Exploring GRACE and GPS and Absolute Gravity Data on the Relationship Between Hydrological Changes and Vertical Cru... -- 5.1 Introduction -- 5.2 Study Area -- 5.3 Methodology -- 5.4 Results and Discussion -- 5.4.1 GRACE and GPS Crustal Deformation Comparison -- 5.4.2 Terrestrial Water Storage -- 5.5 Conclusion -- References.
Chapter 6: Moho Mapping of Northern Chile Region Using Receiver Function Analysis and HK Stacking -- 6.1 Introduction -- 6.2 Seismotectonics of the Study Region -- 6.2.1 Atacama Fault System -- 6.3 Data -- 6.4 Methodology -- 6.4.1 Technique for Estimating Receiver Functions -- 6.4.1.1 Rotation -- 6.4.1.2 Deconvolution -- 6.4.2 H-K Stacking -- 6.5 Results -- 6.5.1 Receiver Function Analysis -- 6.5.2 Result: H-K Analysis -- 6.6 Discussion -- 6.7 Conclusion -- References -- Chapter 7: Coulomb Stress Change of the 2012 Indian Ocean Doublet Earthquake -- 7.1 Introduction -- 7.2 Geodynamics Setting -- 7.3 Coulomb Failure Modelling -- 7.4 Results and Discussion -- 7.5 Conclusion -- References -- Chapter 8: Earthquake Source Dynamics and High-Frequency Decal Characteristics of Japanese Arc Region -- 8.1 Introduction -- 8.2 Methodology -- 8.3 Geology and Geo-Tectonics -- 8.4 Results and Discussion -- 8.5 Conclusion -- References -- Chapter 9: Lapse-Time Dependence of Coda Quality Factor Within the Lithosphere of Northern Ecuador -- 9.1 Introduction -- 9.2 Geology and Seismological History of Study Area -- 9.3 Data Set Used for Analysis -- 9.4 Method and Data Analysis for Estimation of Qc -- 9.5 Results and Discussion -- 9.6 Conclusion -- References -- Chapter 10: Coda Q Estimates of the Bilaspur Region of Himachal Lesser Himalaya -- 10.1 Introduction -- 10.2 Geologic Characteristics and Seismic Tectonics of the Lesser Himalayan Region in Himachal -- 10.3 Methodology -- 10.4 Dataset and Analysis -- 10.5 Results and Discussions -- 10.6 Conclusion -- References -- Chapter 11: Data-Driven Spatiotemporal Assessment of Seismicity in the Philippine Region -- 11.1 Introduction -- 11.2 Methodology -- 11.3 Preparation of Catalog for Statistical Analysis -- 11.4 Results and Discussion -- 11.5 Conclusion -- References.
Chapter 12: Determination and Identification of Focal Mechanism Solutions for the 2016 Kumamoto Earthquake from Waveform Inver... -- 12.1 Introduction -- 12.2 Methodology -- 12.3 Data and its Processing -- 12.3.1 Crustal Model -- 12.3.2 Source Definition -- 12.3.3 Green´s Function Calculation -- 12.3.4 Inversion -- 12.4 Results and Discussion -- 12.5 Conclusion -- References -- Chapter 13: Regression Relations for Magnitude Conversion of Northeast India and Northern Chile and Southern Peru -- 13.1 Introduction -- 13.2 Catalogs for Northeast India, Northern Chile, and Southern Peru -- 13.3 Regression Procedures -- 13.4 Observation Errors in Different Magnitude Types -- 13.5 Magnitude Conversion Relations -- 13.5.1 Surface Wave Magnitude to Moment Magnitude (Ms/Mw) -- 13.5.2 Body Wave Magnitude to Moment Magnitude (mb/Mw) -- 13.5.3 Regression Relations for Northeast India Region -- 13.5.4 Regression Relations for Northern Chile and Southern Peru -- 13.6 Conclusion -- References -- Index.
Record Nr. UNINA-9910842287903321
Kumar Rohtash  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Recent Strategies in High Risk Surgery
Recent Strategies in High Risk Surgery
Autore Faintuch Joel
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (745 pages)
Altri autori (Persone) FaintuchSalomao
ISBN 3-031-56270-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- References -- Contents -- Part I: Preoperative Evaluation and Management -- Chapter 1: Surgical Risk in Distressed or Underserved Populations -- Introduction -- Cardiothoracic and Vascular Surgeries -- Surgical Oncology -- Trauma and Emergency General Surgery -- The Interplay Between Race, Neighborhood, and Socioeconomic Status -- Low SES -- Neighborhood/Environment -- Access -- Hospital Quality and Volume -- Race -- Race as a Marker -- Addressing SDOH -- Solutions at the Level of the Individual Surgeon -- Systemic Solutions -- References -- Chapter 2: Implementation and Utilization of Checklists in Surgical Patient Safety -- Introduction -- What Is a Checklist? -- Deliberate Design -- Workflow Integration -- Effectiveness -- A Role for Checklists in Surgery -- Motives: Patient Safety -- Adverse Events in Surgery -- Antecedents for Checklist Interventions -- Central Line Infections -- Universal Protocol -- Additional Early Surgical Checklists -- The SURPASS Checklist -- The World Health Organization Surgical Safety Checklist (SSC) -- Development of the SSC -- Global SSC Adoption -- Checklist Outcomes in the Real World -- Implementation Matters -- Behavioral Change -- Best Practices for Implementation -- Pre-Implementation: Explore and Prepare -- Grounded in Theory -- Understanding the Local Context -- Implementation -- Customization -- Multi-Level Leadership -- Implementation Support -- Post-Implementation: Sustain -- Next Steps -- SSC in Low and Middle-Income Countries -- Slow Progress -- The Clean Cut Program -- Beyond the WHO SSC -- Technology Tools -- References -- Chapter 3: Controversies in Antibiotic Prophylaxis in Orthopaedic Surgery -- Introduction -- Early Experience -- Current Epidemiology and Microbiology -- Vancomycin-Resistant Enterococci -- Fungal Infections -- General Recommendations -- Practical Guidelines.
Current Practice -- Timing and Duration -- Closed Fractures and Clean Elective or Semi-Elective Surgery -- Clostridioides Difficile -- Open Fractures -- Immunocompromised Patients -- Local Antibiotics -- Future Developments -- Conclusion -- References -- Chapter 4: Perioperative Hemodynamic Monitoring for High Risk Surgical Patients -- Introduction -- Defining High-Risk Patients -- Risk Index Calculators -- American Society of Anesthesiologists Physical Status (ASA-PS) -- Revised Cardiac Risk Index (RCRI) -- American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) -- Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity (POSSUM) -- Surgical Apgar Score (SAS) -- Functional Capacity Assessment -- Biomarkers -- Standard ASA Monitors -- Oxygenation -- Plethysmographic Waveform -- Ventilation -- Circulation -- Temperature -- Pulse Contour Analysis Devices -- Customized Information -- Cerebral Hemodynamics -- Invasive Arterial Pressure -- Central Venous Pressure -- Systolic Pressure Variation (SPV)/Pulse Pressure Variation (PPV) -- Stroke Volume Variation -- Pulmonary Capillary Wedge Pressure -- Mixed Venous Oxygen Saturation -- Echocardiography -- References -- Part II: Lifestyle Interventions -- Chapter 5: Prehabilitation for Gastrointestinal Cancer Surgery -- Prehabilitation: What Does It Mean in Healthcare Contexts? -- What Should Prehabilitation Comprise of? -- Exercise -- Diminished Oxidative Stress -- Nutrition -- Commercial Supplements -- Psycho-Social Support -- Cessation of Smoking and Alcohol -- Obesity Reduction -- Management of Other Medical Conditions and Pharmacological Treatments -- How Long Should Prehabilitation Be? -- Cancer 4-6 Week Protocols -- What Protocols are Typically Employed for Prehabilitation? -- Who Should Deliver Prehabilitation? -- Prehabilitation Clinics.
How Could We Facilitate Remote Prehabilitation? -- Principles of Telehealth -- How Can We Harness New Technologies to Facilitate Remote Prehabilitation? -- Limitations to Widespread Adoption of Prehabilitation -- Should All Gastrointestinal Cancer Patients Be Enrolled? -- What are the Outcomes of Prehabilitation? -- References -- Chapter 6: Efficacy of Prehabilitation in Abdominal Cancer Surgery -- Introduction -- Whole Body Prehabilitation -- Randomised Trials -- Respiratory Prehabilitation -- Inspiratory Muscle Training (IMT) -- Who Needs Prehabilitation? -- The "Higher-Risk" Surgical Patient -- The Impact of Neo-Adjuvant Cancer Treatments -- Stepped Care -- Controversies in Prehabilitation -- Case Reports -- Conclusions and Future Directions -- References -- Chapter 7: Elective Surgery for Patients with Substance Use Disorder or Recent Substance Misuse -- Introduction -- Consumption Screening -- Commonly Misused Substances -- Alcohol -- Identification -- Implications for Surgery -- Management Strategies -- Tobacco -- Identification -- Implications for Surgery -- Management Strategies -- Marijuana -- Identification -- Implications for Surgery -- Management Strategies -- Inhalants -- Nitrous Oxide -- Paint Solvents -- Anesthetic Gases -- Identification -- Implications for Surgery -- Management Strategies -- CNS Depressants -- Opioids -- Identification -- Implications for Surgery -- Management Strategies -- CNS Stimulants -- Cocaine and Methamphetamines -- Identification -- Implications for Surgery -- Management Strategies -- Hallucinogens -- Lysergic Acid Diethylamide (LSD), Psilocybin, and Phencyclidine -- Identification -- Implications for Surgery -- Management Strategies -- Conclusion -- References -- Chapter 8: Illicit Drugs and Candidates for Endoscopy and Surgery -- Introduction -- Scope of the Problem -- Current Practices.
Anesthetic Considerations -- Cannabis -- Physiologic Effects and Pharmacodynamics -- Procedural Considerations -- Anesthetic Interactions -- Perioperative Recommendations -- Cocaine -- Physiologic Effects and Pharmacodynamics -- Procedural Considerations -- Anesthetic Interactions -- Perioperative Recommendations -- Methamphetamines -- Physiologic Effects and Pharmacodynamics -- Procedural Considerations -- Anesthetic Interactions -- Perioperative Recommendations -- Opioids -- Physiologic Effects and Pharmacodynamics -- Procedural Considerations -- Anesthetic Considerations -- Perioperative Recommendations -- Alcohol -- Physiologic Effects and Pharmacodynamics -- Procedural Considerations -- Anesthetic Considerations -- Perioperative Recommendations -- References -- Chapter 9: Nutritional Care in Gastrointestinal Surgery -- Introduction -- Malnutrition, Sarcopenia, Sarcopenic Obesity -- Prognostic Implications -- Metabolic Risk -- Malnutrition According to GLIM Criteria -- Measurement of Muscle Mass -- Sarcopenic Obesity -- Nutritional Assessment in the Preoperative Period -- Indication for Nutrition Therapy -- Immune Enhancement -- Prehabilitation -- Perioperative Nutrition Therapy -- Enteral Feeding-Jejunostomy and Nasojejunal Tube -- Gastrointestinal Complaints -- Parenteral Nutrition -- Supplemented Parenteral Nutrition Mixtures -- Complicated Course/Intensive Care Unit -- Late Postoperative Period, After Discharge -- The Bariatric Effect -- References -- Part III: Surgical Specialties -- Chapter 10: Risk Reduction in Diabetic Patients Undergoing Orthopaedic Surgery -- Introduction -- Diabetic Organ System Disease -- Hospitalist Co-management -- The Hard Stops -- Blood Sugar/Hemoglobin A1C -- Morbid Obesity -- Anemia -- Hypertension/Elevated Diastolic Blood Pressure -- The Soft Stops -- The Perioperative Period -- Perioperative Glucose Management.
Perioperative Hypertension -- Antibiotic Prophylaxis -- Venous Thromboembolism (VTE) Prophylaxis -- Medical Optimization of Patients Undergoing Urgent or Emergent Orthopaedic Surgery -- Medical Optimization of Patients Undergoing Urgent Orthopaedic Surgery -- Medical Optimization of Patients Undergoing Elective Orthopaedic Surgery -- References -- Chapter 11: Advanced Trauma Life Support -- Initial Assessment -- A, B, C, D, E -- Primary Survey -- Shock Prevention -- Glasgow Score -- Imaging Procedures -- Secondary Inspection -- Airway and Ventilation Management -- Aspiration of Gastric Contents -- Anesthetics and Vasoactive Interactions -- Intubation and Ventilation -- Moderate Ventilation Peaks -- Shock -- Fluid Replenishment -- Tissue Perfusion and Coagulation -- Neurogenic Circulatory Shock -- Thoracic Trauma -- Rib Fractures -- Tension Pneumothorax -- Major Hemothorax -- Aortic Damage -- Cardiac Damage and Pericardial Tamponade -- Penetrating Abdominal Trauma (Gunshot or Stab Wound), Unstable -- Penetrating Abdominal Trauma, Gunshot, Stable -- Penetrating Abdominal Trauma, Stab Wound, Stable -- Penetrating Flank/Back Trauma, Stab Wound, Stable -- Penetrating Pelvic Trauma -- Blunt Abdominal Trauma, Unstable -- Blunt Abdominal Trauma, Stable -- Blunt Pelvic Trauma -- Head Trauma -- Spine and Spinal Cord Trauma -- Primary Neurogenic Shock -- Musculoskeletal Trauma -- Thermal Injuries -- Burn Shock -- Electrical Injuries -- Pediatric Trauma -- Ventilatory Assistance and Shock -- Central Nervous System Trauma -- Endotracheal Intubation -- Challenges in Diagnosis of Shock -- Geriatric Trauma -- Brain Trauma -- Reversal of Anticoagulants -- Bones and Joints -- Mandatory Legal Reporting -- Trauma in Pregnancy -- Transferring to Definitive Care -- References -- Chapter 12: Severe Traumatic Brain Injury: A Review for the General and Trauma Surgeon.
Introduction.
Record Nr. UNINA-9910864201003321
Faintuch Joel  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Recent Trends in Image Processing and Pattern Recognition : 6th International Conference, RTIP2R 2023, Derby, UK, December 7-8, 2023, Revised Selected Papers, Part II
Recent Trends in Image Processing and Pattern Recognition : 6th International Conference, RTIP2R 2023, Derby, UK, December 7-8, 2023, Revised Selected Papers, Part II
Autore Santosh K. C
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (430 pages)
Altri autori (Persone) MakkarAaisha
ConwayMyra
SinghAshutosh K
VacavantAntoine
Abou el KalamAnas
BougueliaMohamed-Rafik
HegadiRavindra
Collana Communications in Computer and Information Science Series
ISBN 3-031-53085-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Healthcare Informatics -- Leveraging Handwriting Impairment as a Biomarker for Early Parkinson's Disease Diagnosis -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Acquisition and Pre-processing -- 3.2 Data Augmentation -- 3.3 Model Definition and Training -- 4 Results and Discussion -- 5 Conclusion -- References -- Enhancing CT Image Visualization and Analysis Through Rescaling Raw Pixel Values to Hounsfield Units -- 1 Introduction -- 2 Hounsfield Unit -- 3 Hounsfield Unit Scaling -- 4 Results and Discussion -- 5 Conclusion -- References -- Diabetic Retinopathy Blood Vessel Detection Using Deep-CNN-Based Feature Extraction and Classification -- 1 Introduction -- 2 Methodology -- 2.1 Dataset Details -- 2.2 Pre-processing -- 2.3 Classification -- 3 Results and Discussion -- 3.1 Experimental Results -- 3.2 Results Comparison -- 4 Conclusion and Future Work -- References -- Detection of COVID-19 Disease Using Federated Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection and Preprocessing -- 4 Experimental Results -- 5 Conclusion -- References -- Breast Cancer Detection Using Optimal Machine Learning Techniques: Uncovering the Most Effective Approach -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methodology -- 3.1 Data Preparation -- 3.2 About Dataset -- 3.3 Exploratory Data Analysis (EDA) -- 3.4 Feature Selection -- 3.5 Model Training and Evaluation -- 3.6 Model Comparison -- 4 Results, Conclusion, and Future Scope -- References -- Compressed Deep Learning Models with XAI for COVID-19 Detection Using CXR Images -- 1 Introduction -- 1.1 Motivation and Contribution -- 2 Related Work -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Compression of Model -- 3.3 XAI -- 4 Results and Discussion -- 4.1 Dataset.
4.2 Experimental Results -- 5 Conclusion -- References -- HLB Disease Detection in Omani Lime Trees Using Hyperspectral Imaging Based Techniques -- 1 Introduction -- 2 Literature Review -- 2.1 Summary -- 3 Materials and Methods -- 3.1 Study Site -- 4 Proposed Methodology -- 4.1 Algorithm -- 4.2 Convolutional Neural Network (CNN) -- 5 Experimental Results and Analysis -- 5.1 Contributions -- 5.2 Delimitations -- 6 Conclusion -- References -- A Stack Ensemble Approach for Early Alzheimer Classification Using Machine Learning Algorithms -- 1 Introduction -- 2 Methodology -- 3 Materials and Methods -- 3.1 Logistic Regression -- 3.2 Random Forest -- 3.3 Naïve Bayes -- 3.4 Neural Network -- 3.5 Stack Ensemble -- 4 Performance Metrics -- 4.1 AUC -- 4.2 CA-Classification Accuracy -- 4.3 F1-Score -- 4.4 Precision -- 4.5 Recall -- 5 Results -- 5.1 Performance Curve - Lift Curve -- 5.2 Performance Curve - Cumulative Gains -- 5.3 Performance Curve - Precision-Recall -- 5.4 Confusion Matrix Interpretation -- 6 Conclusion -- References -- Analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-Ray -- 1 Introduction -- 2 Related Work - Graph Neural Networks -- 3 Methodology -- 3.1 Dataset -- 3.2 Data Preparation -- 3.3 Superpixel Graph -- 3.4 Network Models -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- Silicosis Detection Using Extended Transfer Learning Model -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Methodology -- 4 Results -- 4.1 Transfer Learning Approach -- 4.2 Results of Proposed Approach -- 4.3 Disease Localization Using Grad-CAM Technique -- 4.4 Discussion -- 5 Conclusion -- References -- Automated Make and Model Identification of Reverse Shoulder Implants Using Deep Learning Methodology -- 1 Introduction -- 2 Literature Review.
3 Dataset Description -- 4 Methods and Methodology -- 4.1 Proposed Approach -- 4.2 Training Set -- 4.3 Testing Set -- 4.4 Data Augmentation -- 4.5 Deep Learning Methods -- 4.6 Proposed Approach -- 4.7 Performance Metrics -- 5 Results and Discussion -- 5.1 Data Augmentation -- 5.2 Deep Learning Results -- 6 Conclusion -- References -- COVID-19 Disease Prediction Using Generative Adversarial Networks with Convolutional Neural Network (GANs-CNN) Model -- 1 Introduction -- 2 Literature Review -- 3 Experimental Setup -- 3.1 CNN Model -- 3.2 GANs Model -- 3.3 Image Smoothing Technique -- 3.4 Proposed System Model -- 3.5 Evaluation -- 4 Results and Discussion -- 5 Conclusion -- References -- Modified Snapshot Ensemble Algorithm for Skin Lesion Classification -- 1 Introduction -- 1.1 Contributions -- 2 Methodology -- 2.1 Preprocessing -- 2.2 Snapshot Ensemble Technique -- 3 Proposed Algorithm -- 3.1 Model Creation -- 3.2 Modified Snapshot Ensemble -- 4 Experimental Results -- 4.1 Dataset Details -- 4.2 Model Training and Testing -- 4.3 Snapshot Ensemble Calculation -- 4.4 Comparison and Discussion -- 5 Conclusion -- References -- A Residual Learning Approach Towards the Diagnosis of Colorectal Disease Effectively -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Overview -- 3.2 Preprocessing -- 3.3 Proposed Methodology -- 3.4 Proposed Method Architecture -- 4 Experimental Results and Analysis -- 4.1 Dataset -- 4.2 Comparison with the Benchmark Results -- 5 Conclusion -- References -- Realistic Skin Image Data Generation Leveraging Conditional GAN and Classification Using Deep CNN -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Loss Functions -- 4 Results and Discussions -- 5 Conclusion -- References -- Radiography and Thermography Based Image Processing Techniques for Assessment of Lower Back Pain -- 1 Introduction.
2 Earlier Work -- 3 Methodology -- 3.1 X-Ray Image Processing -- 3.2 Thermal Image Processing -- 4 Results -- 4.1 X-Ray Based Image Analysis -- 4.2 Thermal Image Analysis -- 5 Conclusion -- References -- Exploring Imaging Biomarkers for Early Detection of Alzheimer's Disease Using Deep Learning: A Comprehensive Analysis -- 1 Introduction -- 2 Background Research -- 3 Retina Scan in Detection of Alzheimer -- 4 Role of Deep Learning -- 4.1 Emerging DL Technologies in AD Research -- 5 Conclusion -- References -- Pattern Recognition in Blockchain, Cyber and Network Security, and Cryptography -- VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks -- 1 Introduction -- 1.1 MQTT Network Infrastructure Overview -- 1.2 MQTT Packet Structure -- 1.3 Network Attacks on IoT Infrastructure -- 2 Related Work -- 3 Dataset -- 3.1 Dataset Description -- 3.2 Dataset Labeling -- 4 Proposed Model -- 5 Experiments -- 6 Evaluation Metrics -- 7 Results -- 8 Conclusion and Future Scope -- References -- Crypto Bank: Cryptocurrency Wallet Based on Blockchain -- 1 Introduction -- 1.1 The Idea of Cryptocurrencies - the 1980s -- 1.2 The Launch of Bitcoin - 2008 -- 1.3 The Initial Crypto Market Development -- 1.4 The Rise of the Crypto Bank -- 1.5 Crypto Wallets -- 2 Literature Review -- 2.1 Bitcoin, the First Cryptocurrency -- 2.2 Ethereum and Smart Contracts -- 2.3 The Token Economy -- 3 Background Details -- 4 Proposed Work -- 5 Methodology -- 6 Comparative Analysis -- 7 Conclusion and Future Scope -- References -- Large-Language-Models (LLM)-Based AI Chatbots: Architecture, In-Depth Analysis and Their Performance Evaluation -- 1 Introduction -- 2 Literature Review -- 3 Identified Issues and Challenges -- 4 Problem Statement -- 5 Contributions -- 6 Methodology -- 6.1 GPT-3 -- 6.2 GPT-4 -- 6.3 AutoGPT -- 6.4 LLaMA -- 6.5 Vicuna -- 6.6 Alpaca.
6.7 BARD -- 7 Results, Analysis, and Discussion -- References -- CincoCrypto - A Cryptocurrency Price Forecasting Tool for Everyone -- 1 Introduction -- 1.1 Research Contributions -- 1.2 Limitations -- 2 Literature Review -- 3 Methodology -- 3.1 Datasets -- 3.2 Proposed Work -- 4 Results -- 5 Conclusion -- 6 Future Work -- References -- Deep Neural Networks Based Security Solution for ATM Transactions -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 4 Conclusion and Future Work -- References -- A Comprehensive Analysis of Blockchain Network Security: Attacks and Their Countermeasures -- 1 Introduction -- 1.1 Characteristics of Blockchain -- 1.2 Applications of Blockchain -- 2 Blockchain Security -- 2.1 Blockchain Attacks -- 3 Summary of Blockchain Attacks -- 4 Conclusion -- References -- Enhancing Android Malware Detection: CFS Based Texture Feature Selection and Ensembled Classifier for Malware App Analysis -- 1 Introduction and Motivation -- 1.1 Introduction -- 1.2 Motivation -- 2 Background -- 2.1 Introduction to Android -- 2.2 Android Malware -- 2.3 Android Malware Detection -- 2.4 Machine Learning -- 3 Related Work -- 4 Methodology -- 4.1 Image Formation -- 4.2 Feature Extraction -- 4.3 Feature Filtration -- 4.4 Classification Algorithms -- 5 Experimental Setup -- 5.1 Dataset -- 6 Results and Discussion -- 6.1 Image Conversion -- 6.2 Feature Extraction -- 6.3 Feature Filtration -- 6.4 Classification Results on Features Collected from Various Texture Feature Extraction Methods -- 6.5 Comparison with Previous Techniques -- 7 Conclusion and Future Scope -- References -- Blockchain-Enhanced Federated Learning for Secure Malicious Activity Detection in Cyber-Physical Systems -- 1 Introduction -- 2 Related Work -- 2.1 Feature Selection Techniques -- 2.2 Machine Learning-Based Approaches -- 2.3 Blockchain-Based Security.
3 System Architecture.
Record Nr. UNINA-9910806192403321
Santosh K. C  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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