Tabla de Contenidos: “…Des emplois plus nombreux et meilleurs ? La performance globale au cours de la dernière décennie -- Introduction -- Principaux résultats -- 1. …”

Tabla de Contenidos: “…Cover -- Titel -- Impressum -- Inhaltsverzeichnis -- Danksagungen -- Teil I: Einführung -- Kapitel 1: Architektur, Performance und Spiele -- 1.1 Was ist Softwarearchitektur? …”

Tabla de Contenidos: “…Front Cover -- Deep Learning Through Sparse and Low-Rank Modeling -- Copyright -- Contents -- Contributors -- About the Editors -- Preface -- Acknowledgments -- 1 Introduction -- 1.1 Basics of Deep Learning -- 1.2 Basics of Sparsity and Low-Rankness -- 1.3 Connecting Deep Learning to Sparsity and Low-Rankness -- 1.4 Organization -- References -- 2 Bi-Level Sparse Coding: A Hyperspectral Image Classi cation Example -- 2.1 Introduction -- 2.2 Formulation and Algorithm -- 2.2.1 Notations -- 2.2.2 Joint Feature Extraction and Classi cation -- 2.2.2.1 Sparse Coding for Feature Extraction -- 2.2.2.2 Task-Driven Functions for Classi cation -- 2.2.2.3 Spatial Laplacian Regularization -- 2.2.3 Bi-level Optimization Formulation -- 2.2.4 Algorithm -- 2.2.4.1 Stochastic Gradient Descent -- 2.2.4.2 Sparse Reconstruction -- 2.3 Experiments -- 2.3.1 Classi cation Performance on AVIRIS Indiana Pines Data -- 2.3.2 Classi cation Performance on AVIRIS Salinas Data -- 2.3.3 Classi cation Performance on University of Pavia Data -- 2.4 Conclusion -- 2.5 Appendix -- References -- 3 Deep l0 Encoders: A Model Unfolding Example -- 3.1 Introduction -- 3.2 Related Work -- 3.2.1 l0- and l1-Based Sparse Approximations -- 3.2.2 Network Implementation of l1-Approximation -- 3.3 Deep l0 Encoders -- 3.3.1 Deep l0-Regularized Encoder -- 3.3.2 Deep M-Sparse l0 Encoder -- 3.3.3 Theoretical Properties -- 3.4 Task-Driven Optimization -- 3.5 Experiment -- 3.5.1 Implementation -- 3.5.2 Simulation on l0 Sparse Approximation -- 3.5.3 Applications on Classi cation -- 3.5.4 Applications on Clustering -- 3.6 Conclusions and Discussions on Theoretical Properties -- References -- 4 Single Image Super-Resolution: From Sparse Coding to Deep Learning -- 4.1 Robust Single Image Super-Resolution via Deep Networks with Sparse Prior -- 4.1.1 Introduction -- 4.1.2 Related Work…”

Tabla de Contenidos: “…8.3.3 Improved Flowchart for C5.0BN -- 8.3.4 Importance of Splitting Criteria in Decision Tree Algorithms -- 8.4 Computational Experiments and Result Analysis -- 8.4.1 Implementation of C5.0BN using scikit-learn -- 8.4.2 Perform Test and Train Split -- 8.4.3 Fit on Train Set -- 8.4.4 Predict on Test Set -- 8.4.5 Measure Accuracy of the Classifier -- 8.4.5.1 Accuracy -- 8.4.5.2 Memory used -- 8.4.5.3 Training time -- 8.4.5.4 Search time -- 8.4.5.5 Error rate -- 8.5 Conclusion -- References -- 9 Deep learning for double-negative detection in text data for customer feedback analysis on a product -- 9.1 Introduction -- 9.2 Related work -- 9.3 Proposed methodology -- 9.4 Experimental results and discussion -- 9.5 Conclusion -- References -- 10 Sarcasm detection using deep learning in natural language processing -- 10.1 Introduction -- 10.1.1 What is sarcasm? …”

Tabla de Contenidos: “…Planning for IASPs -- 2.1 Business needs -- 2.2 Performance requirements -- 2.2.1 Structure of IASPs -- 2.2.2 Disk drives: Arms versus capacity -- 2.2.3 Placement for performance -- 2.3 Software licensing requirements -- 2.3.1 Required software -- 2.3.2 Optional software -- 2.4 Restrictions -- 2.4.1 Switching independent disk pools between V5R1 and V5R2 systems -- 2.4.2 Spooling limitations -- 2.5 Application integration -- 2.6 Authority considerations -- 2.6.1 User profiles and IASPs -- 2.6.2 Planning for user profiles and space to be used -- 2.6.3 Authorization lists (AUTL) and IASPs -- 2.6.4 Accounting for space used by user profiles and authorization lists -- 2.7 Capacity planning -- 2.8 Hardware configuration and physical planning -- 2.8.1 Minimum hardware requirements -- 2.8.2 Physical versus logical switching -- 2.8.3 PCI card switching -- 2.8.4 ASPs and expansion towers -- 2.8.5 High-speed link (HSL) cable placement -- 2.8.6 HSL port feature -- 2.8.7 HSL cabling rules for multiple system switched tower implementation -- 2.8.8 SPCN cable considerations -- 2.9 Aesthetics -- 2.10 Physical planning requirements -- 2.10.1 Advantages of using IASPs -- 2.10.2 Limitations of using IASP -- 2.11 Independent disk pool planning checklist -- 2.12 Disk planning worksheet -- 2.13 PCI card placement planning worksheet -- 2.14 Positioning independent disk pools -- Chapter 3. …”

Tabla de Contenidos: “…9.6 Problem Constraints -- 9.6.1 Genetic Algorithm -- 9.6.2 Balanced Source Distribution with DL Cost -- 9.7 Virtual Network Embedding -- 9.7.1 Specification of Virtual Network Embedding -- 9.7.2 System Model -- 9.7.3 Open Flow Enabled Network -- 9.7.4 Network Model -- 9.7.5 Interference Model -- 9.8 Algorithm on Interference Modeling and Channel Selection Process -- 9.8.1 Interference Aware Routing Algorithm -- 9.8.2 Channel Assignment Algorithm -- 9.8.3 The MCM Algorithm -- 9.9 Performance Evaluation -- 9.9.1 Network Model -- 9.9.2 Load Design Algorithm -- 9.9.3 Simulation Settings -- 9.9.4 Performance Metrics -- 9.10 Performance Results -- 9.10.1 Handling with WL Intervention -- 9.10.2 Evaluating the Multicast Gain -- 9.10.3 Clique Utilization Balancing -- 9.10.4 Analysis of Switch Resource Consumption -- 9.10.5 Embedding Method Selection: Integer Linear Programming Vs Genetic Algorithm -- 9.11 Conclusion -- References -- Chapter 10 Advanced Wireless Mobile Network on Financial Literacy -- 10.1 Introduction -- 10.2 Statement of the Problem -- 10.3 Objectives of the Study -- 10.4 Hypothesis -- 10.5 Sampling Design -- 10.6 Literature Review -- 10.7 Methodology -- 10.8 Measurement of Financial Literacy -- 10.9 Elements of Financial Literacy -- 10.10 Financial Literacy Among Scheduled Community -- 10.11 Age Wise Status of Financial Literacy -- 10.12 Financial Literacy Among Scheduled Communities of Different Age Group - ANOVA -- 10.12.1 Null Hypothesis -- 10.13 Financial Literacy and its Relationship with Gender -- 10.13.1 Null Hypothesis -- 10.14 Financial Literacy and its Relationship with Marital Status -- 10.14.1 Null Hypothesis -- 10.15 Financial Literacy and its Relationship with Religion -- 10.15.1 Null Hypothesis -- 10.16 Financial Literacy Among Scheduled Communities of Different Educational Qualification - ANOVA -- 10.16.1 Null Hypothesis…”

Tabla de Contenidos: “…6.3 Strong assumptions made by SOTA attacks -- 6.3.1 The state-of-the-art attacks -- 6.3.2 Strong assumptions -- Assumption 1: Knowledge of BatchNorm statistics -- Assumption 2: Knowing or being able to infer private labels -- 6.3.3 Re-evaluation under relaxed assumptions -- Relaxation 1: Not knowing BatchNorm statistics -- Relaxation 2: Not knowing private labels -- 6.4 Defenses against the gradient inversion attack -- 6.4.1 Encrypt gradients -- 6.4.2 Perturbing gradients -- 6.4.3 Weak encryption of inputs (encoding inputs) -- 6.5 Evaluation -- 6.5.1 Experimental setup -- 6.5.2 Performance of defense methods -- 6.5.3 Performance of combined defenses -- 6.5.4 Time estimate for end-to-end recovery of a single image -- 6.6 Conclusion -- 6.7 Future directions -- 6.7.1 Gradient inversion attacks for text data -- 6.7.2 Gradient inversion attacks in variants of federated learning -- 6.7.3 Defenses with provable guarantee -- References -- 2 Emerging topics -- 7 Personalized federated learning: theory and open problems -- 7.1 Introduction -- 7.2 Problem formulation of pFL -- 7.3 Review of personalized FL approaches -- 7.3.1 Mixing models -- 7.3.2 Model-based approaches: meta-learning -- 7.3.3 Multi-task learning -- 7.3.4 Weight sharing -- 7.3.5 Clients clustering -- 7.4 Personalized FL algorithms -- 7.4.1 pFedMe -- 7.4.2 FedU -- 7.5 Experiments -- 7.5.1 Experimental settings -- 7.5.2 Comparison -- 7.6 Open problems -- 7.6.1 Transfer learning -- 7.6.2 Knowledge distillation -- 7.7 Conclusion -- References -- 8 Fairness in federated learning -- 8.1 Introduction -- 8.2 Notions of fairness -- 8.2.1 Equitable fairness -- 8.2.2 Collaborative fairness -- 8.2.3 Algorithmic fairness -- 8.3 Algorithms to achieve fairness in FL -- 8.3.1 Algorithms to achieve equitable fairness -- 8.3.2 Algorithms to achieve collaborative fairness…”

Tabla de Contenidos: “…Mesurer la performance : la feuille de marque de la collectivité -- Chapitre 2. …”

Tabla de Contenidos: “…Réponses -- Cadre juridique et institutionnel -- Objectifs -- Instruments réglementaires -- Instruments économiques -- Tableau 2.2 Prix de l'eau, 1998 -- Financement et dépenses -- 3. Performances environnementales…”

Tabla de Contenidos: “…-- Lab 4.3 Exercises -- Lab 4.3 Exercise Answers -- Lab 4.3 Quiz -- Workshop -- CHAPTER 5 Date and Conversion Functions -- LAB 5.1 Applying Oracle's Date Format Models -- Changing the Date Display Format -- Performing a Date Search -- Implicit Conversion and Default Date Format -- The RR Date Format Mask and the Previous Century -- The Time Component -- Time and the TRUNC Function -- The ANSI DATE and ANSI TIMESTAMP Formats -- Lab 5.1 Exercises -- Lab 5.1 Exercise Answers -- Lab 5.1 Quiz -- LAB 5.2 Performing Date and Time Math -- The SYSDATE Function -- Performing Arithmetic on Dates -- The ROUND Function -- The EXTRACT Function -- Snippets -- Lab 5.2 Exercises -- Lab 5.2 Exercise Answers -- Lab 5.2 Quiz -- LAB 5.3 Understanding the TIMESTAMP and TIME ZONE Data Types -- The TIMESTAMP Data Type -- The TIMESTAMP WITH TIME ZONE Data Type -- The TIMESTAMP WITH LOCAL TIME ZONE Data Type -- Common Format Masks -- Datetime Functions -- Extract Functions -- Conversion Functions -- Datetime Expression -- Lab 5.3 Exercises -- Lab 5.3 Exercise Answers -- Lab 5.3 Quiz -- LAB 5.4 Performing Calculations with the Interval Data Types -- Using Intervals -- EXTRACT and Intervals -- Interval Expressions -- Determining Overlaps -- Lab 5.4 Exercises -- Lab 5.4 Exercise Answers -- Lab 5.4 Quiz -- LAB 5.5 Converting from One Data Type to Another…”

Tabla de Contenidos: “…8.3.1 Fuzzy Logic in AI -- 8.3.2 Fuzzy set applications in power system -- 8.3.3 Fuzzy Logic applications in other fields -- 8.4 Artificial Neural Network (ANN) -- 8.4.1 Electrical engineering and machine learning applications for neural networks -- 8.4.2 Engineering applications of neural network -- 8.5 Adaptive Neuro Fuzzy Inference System (ANFIS) -- 8.5.1 Blocks of FIS -- 8.5.2 Steps of fuzzy reasoning -- 8.5.3 Types of fuzzy reasoning -- 8.5.4 Application areas of ANFIS -- 8.6 Conclusion -- References -- Chapter 9: Maize diseases diagnosis based on computer intelligence: A systematic review -- 9.1 Introduction -- 9.2 Classification of maize diseases -- 9.3 Identification of maize diseases using computer intelligence -- 9.3.1 Image acquisition -- 9.3.2 Image preprocessing -- 9.3.3 Image segmentation -- 9.3.4 Feature extraction and selection -- 9.3.5 ML/DL classification models -- 9.3.6 Performance evaluation -- 9.4 Recent research works about the identification and classification of maize diseases -- 9.5 Related work on disease identification and classification in different plants other than maize -- 9.6 Conclusion -- References -- Chapter 10: Low-power architectural design and implementation of reconfigurable data converters for biomedical application -- 10.1 Introduction -- 10.2 System architecture -- 10.3 Analog-to-digital converter -- 10.4 Auto adaption unit -- 10.4.1 Sampling rate control signal -- 10.4.2 Resolution control signal -- 10.5 Digital-to-analogue converter -- 10.6 Performance parameters -- 10.6.1 Static performance -- 10.7 Interconnection system (ICS) -- 10.8 DTMOS logic -- 10.9 Results and discussion -- 10.10 Performance -- 10.11 Conclusion -- References -- Chapter 11: Sign language and hand gesture recognition using machine learning techniques: A comprehensive review -- 11.1 Introduction…”

Tabla de Contenidos: “…-- #16 Measure Your Success by How Many People Thank You for Theirs -- #17 Create a Scalable, Repeatable, and Predictable Playbook for Your Team -- #18 Become an Expert in Your Field -- #19 Seniority Doesn't Mean Anything -- #20 Be Obsessed with Maximizing the Performance of Your Team -- #21 Survey Your Team on Your Management -- #22 Boost Productivity by Eliminating Bottlenecks -- #23 Reward Employees for Their Ideas to Improve -- #24 Place People Where They Are a Perfect Fit -- #25 Give Your People Freedom and Creative Space -- #26 Be Your Team's Biggest Cheerleader -- #27 Give All the Credit When You Win, Take All the Blame When You Lose -- #28 Help Your Team Make Friends at Work -- #29 No Matter the Job, Acknowledge How Hard Your People Work -- #30 Positive Reinforcement Trumps Negative Reinforcement -- #31 Create a Culture of Continuous Learning and Development -- Part II The Strategies for Building High-Performing Teams -- Month 4 KPIs, Goal Setting, and Decision-Making -- #1 Find Your Daily Dose of Inspiration in Your "Why" -- #2 Evaluate Your Judgment -- #3 Leaders Are Readers -- #4 Train Your Team to Be the Best Players -- #5 Show Integrity 24/7 (Even When No One Is Watching) -- #6 Getting Things Wrong Is an Integral Part of Getting Things Right -- #7 Favor Results Over Time -- #8 Don't Sweat the Small Stuff -- #9 Create Key Performance Indicators -- #10 Identify Your Team's Goals -- #11 Set AQMD Goals -- #12 Tackle the Big Picture with Quarterly Reviews -- #13 Coach Your Team to Provide Weekly Updates -- #14 There Are Only Two Outcomes to a Decision -- #15 Use Team Recommendations to Make the Right Decisions -- #16 Recommit to Your Decisions Daily -- #17 Multitasking Is Doing More but Getting Less -- #18 Good Is the Enemy of Great -- #19 Avoid Drama -- #20 Review Your Data Daily -- #21 New Data = New Decisions…”

Tabla de Contenidos: “…7.3.5 Sicherungen mit dem Oracle Enterprise Manager -- 7.3.6 Einen Media Manager verwenden -- 7.4 Die Fast Recovery Area -- 7.4.1 Dateien in die Fast Recovery Area legen -- 7.4.2 Die Fast Recovery Area verwalten -- 7.5 Restore und Recovery mit RMAN -- 7.5.1 Verlust eines Datafiles -- 7.5.2 Disaster Recovery -- 7.5.3 Verlust von Online Redo Log-Dateien -- 7.5.4 Block Media Recovery -- 7.5.5 Der Data Recovery Advisor -- 7.5.6 Switch zur Datafile-Kopie -- 7.5.7 Eine Tabelle mit RMAN zurückspeichern -- 7.6 Wiederherstellung mit Flashback-Operationen -- 7.6.1 Flashback Table -- 7.6.2 Flashback Drop -- 7.6.3 Flashback Transaction History -- 7.6.4 Flashback Database -- 7.7 Tablespace Point-in-Time Recovery -- Kapitel 8: Schnittstellen -- 8.1 Data Pump -- 8.1.1 Die Data Pump-Architektur -- 8.1.2 Data Pump-Export -- 8.1.3 Data Pump-Import -- 8.1.4 Data Pump über Datenbank-Link -- 8.1.5 Full Transportable Export/Import -- 8.1.6 Data Pump Performance und Monitoring -- 8.1.7 Data Pump für Migrationen einsetzen -- 8.1.8 Ein Dumpfile nach Excel konvertieren -- 8.1.9 Data Pump mit dem Oracle Enterprise Manager -- 8.2 SQL*Loader -- 8.2.1 Daten laden -- 8.2.2 Externe Tabellen laden -- 8.2.3 Daten entladen -- Kapitel 9: Job-Verwaltung -- 9.1 Die Architektur des Scheduler -- 9.2 Scheduler-Jobs verwalten -- 9.3 Privilegien -- 9.4 Job-Ketten -- 9.5 Automatisierte Wartungs-Tasks -- Kapitel 10: Oracle Net Services -- 10.1 Die Oracle Net-Architektur -- 10.2 Die Server-Konfiguration -- 10.3 Die Shared Server-Konfiguration -- 10.4 Oracle Net Performance -- Kapitel 11: Sicherheit und Überwachung -- 11.1 Grundlegende Features und Maßnahmen -- 11.1.1 Benutzer, Rollen und Profile -- 11.1.2 Einfache Maßnahmen zur Erhöhung der Sicherheit -- 11.2 Auditing -- 11.2.1 Out-of-the box Auditing -- 11.2.2 Object Auditing -- 11.2.3 Statement Auditing -- 11.2.4 Privilege Auditing…”

Tabla de Contenidos: “…Front Cover -- Software Engineering for Embedded Systems -- Copyright -- Contents -- Contributors -- Acknowledgments -- 1 Software Engineering for Embedded and Real-Time Systems -- 1 Software Engineering -- 2 Embedded Systems -- 2.1 Embedded Systems Are Reactive Systems -- 3 Real-Time Systems -- 3.1 Types of Real-Time Systems-Soft and Hard -- 3.2 Differences Between Real-Time and Time-Shared Systems -- 4 Example of a Hard Real-Time System -- 4.1 Based on Signal Sample, Time to Perform Actions Before Next Sample Arrives -- 4.2 Hard Real-Time Systems -- 5 Real-Time Event Characteristics -- 5.1 Real-Time Event Categories -- 5.2 Efficient Execution and the Execution Environment -- 5.2.1 Efficiency Overview -- 5.2.2 Resource Management -- 6 Challenges in Real-Time System Design -- 6.1 Response Time -- 6.2 Recovering From Failures -- 7 The Embedded System's Software Build Process -- 8 Distributed and Multiprocessor Architectures -- 9 Software for Embedded Systems -- 9.1 Super Loop Architecture -- 9.2 Power-Saving Super Loop -- 9.3 Window Lift Embedded Design -- 10 Hardware Abstraction Layers for Embedded Systems -- 2 Software Development Process -- 1 Getting Started -- 1.1 Project Planning -- 1.2 Risk Management -- 1.3 Kicking Off the Project -- 2 Requirements -- 2.1 User Requirements -- 2.2 System Requirements -- 3 Architecture -- 3.1 Safety-Critical Elements -- 3.2 Operating Performance -- 3.3 Security -- 3.4 Reliability and Availability -- 4 Design -- 4.1 Object-Oriented Programming -- 4.1.1 System Context -- 4.1.2 Class Identification -- 4.1.3 Design Modeling -- 4.2 Real-Time Design -- 5 Implementation -- 6 Testing -- 6.1 Validation and Verification -- 6.2 Integration Testing -- 6.3 Release Testing -- 6.4 Performance Testing -- 7 Rolling It Together: Agile Development…”

Tabla de Contenidos: “…-- 14.2.1 Transfer Learning -- 14.2.2 Transfer Learning and SE -- 14.2.3 Data Set Shift -- 14.3 An Example Technology: TEAK -- 14.4 The Details of the Experiments -- 14.4.1 Performance Comparison -- 14.4.2 Performance Measures -- 14.4.3 Retrieval Tendency -- 14.5 Results -- 14.5.1 Performance Comparison -- 14.5.2 Inspecting Selection Tendencies -- 14.6 Discussion -- 14.7 What Are the Takeaways? …”

Tabla de Contenidos: “…Bruce Brooks -- The Sectio evangelica (Didache 1.3b-2.1) and performance / Perttu Nikander -- The Didache and oral theory / Nancy Pardee -- From the Sermon on the mount to the Didache / John W. …”
Click para texto completo desde fuera UPSA
Click para texto completo desde UPSA

Tabla de Contenidos: “…Orpheus conquistador / Nicholas Till ; Decentering opera : early twenty-first-century indigenous production / Beverley Diamond ; Singing from the margins : postcolonial themes in Voss and Waiting for the barbarians / Michael Halliwell ; Performativity, mimesis, and indigenous opera / Pamela Karantonis -- Australian perspectives. …”
Enlace del recurso

Tabla de Contenidos: “…CROSS-DOMAIN RECOMMENDER SYSTEMS: A SURVEY (...)A PERFORMANCE COMPARISON OF TIME-AWARE (...); PERSONALIZACIÓN Y EVALUACIÓN XML MEDIANTE (...); IDENTIFICACIÓN DE USUARIOS EN SISTEMAS (...); GENERACIÓN DE UN CORPUS DE USUARIOS BASADO (...); A SIMPLE MODEL FOR CLASSIFYING WEB QUERIES (...); ANÁLISIS DE LA CALIDAD DE LA INFORMACIÓN (...); BÚSQUEDA SOCIAL; EXTRACTION AND RANKING OF PRODUCT ASPECTS (...); CLASIFICACIÓN DE PREGUNTAS SIN RESPUESTA: (...); ANÁLISIS DE REDES DE INFLUENCIA EN TWITTER; MAPPING ROUTES OF SENTIMENTS; DETECCIÓN DE PLAGIO; N-GRAMAS DE CONTEXTO CERCANO PARA MEJORAR (...)…”

Tabla de Contenidos: “…Agradecimientos -- Prólogo del equipo de traducción -- Introducción -- Primera parte Más allá de las asimetrías etnomusicológicas -- Capítulo I Sonido, silencio, música: poder -- Capítulo II Acustemología -- Capítulo III Reflexiones en torno a una interdisciplina: teoría musical, análisis y teoría social en la etnomusicología -- Capítulo IV Análisis de la aporía -- Segunda parte Aplicación, subjetividad y proceso -- Capítulo V Música contemporánea nativa norteamericana: las mujeres -- Capítulo VI El etnomusicólogo, el método etnográfico y la transmisión de la tradición -- Capítulo VII Míriam entona su canción: yo y otro en el discurso antropológico -- Capítulo VIII Análisis de performances: narrativa e ideología en conciertos de ¡Karaxú! …”
Acceso con credenciales UPSA

Tabla de Contenidos: “…Drama over large carnivores : performing wildlife tourism in a controversial space / Outi Ratamki and Taru Peltola. …”