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[null,"1.","Record Nr.",null,"UNISALENTO991000914299707536"]
[null,null,"Autore",null,"Dautray, Robert"]
[null,null,"Titolo",null,"Frontiers in pure and applied mathematics : a collection of papers dedicated to Jacques-Louis Lions on the occasion of his sixtieth birthday / edited by Robert Dautray"]
[null,null,"Pubbl/distr/stampa",null,"Amsterdam : North-Holland, 1991"]
[null,null,"ISBN",null,"0444881336"]
[null,null,"Descrizione fisica",null,"286 p., [28] p. of plates : ill. ; 25 cm."]
[null,null,"Classificazione",null,"AMS 00B30"]
[{"$nulls":4},"AMS 35-06"]
[{"$nulls":4},"AMS 49-06"]
[{"$nulls":4},"QA7.F88"]
[null,null,"Disciplina",null,"510"]
[null,null,"Soggetti",null,"Lions, Jacques Louis-Festschriften"]
[{"$nulls":4},"Mathematics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes bibliographical references"]
[null,"2.","Record Nr.",null,"UNINA9910151570503321"]
[null,null,"Autore",null,"Sullivan William G. <1942->"]
[null,null,"Titolo",null,"Engineering economy / / William G. Sullivan, Elin M. Wicks, C. Patrick Koelling ; global editions contributions by Anisha Sharma"]
[null,null,"Pubbl/distr/stampa",null,"Upper Saddle River : , : Pearson, , [2014]"]
[{"$nulls":4},"Â©2014"]
[null,null,"ISBN",null,"1-292-01947-6"]
[null,null,"Edizione",null,"[Sixteenth edition, Global edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (706 pages) : illustrations (some color), tables, graphs, photographs"]
[null,null,"Collana",null,"Always learning"]
[null,null,"Disciplina",null,"658.15"]
[null,null,"Soggetti",null,"Engineering economy"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Cover -- Title Page -- Contents -- Preface -- Green Content -- CHAPTER 1 Introduction to Engineering Economy -- 1.1 Introduction -- 1.2 The Principles of Engineering Economy -- 1.3 Engineering Economy and the Design Process -- 1.4 Using Spreadsheets in Engineering Economic Analysis -- 1.5 Try Your Skills -- 1.6 Summary -- CHAPTER 2 Cost Concepts and Design Economics -- 2.1 Cost Terminology -- 2.2 The General Economic Environment -- 2.3 Cost-Driven Design Optimization -- 2.4 Present Economy Studies -- 2.5 CASE STUDY-The Economics of Daytime Running Lights -- 2.6 Try Your Skills -- 2.7 Summary -- Appendix 2-A Accounting Fundamentals -- CHAPTER 3 Cost-Estimation Techniques -- 3.1 Introduction -- 3.2 An Integrated Approach -- 3.3 Selected Estimating Techniques (Models) -- 3.4 Parametric Cost Estimating -- 3.5 CASE STUDY-Demanufacturing of Computers -- 3.6 Electronic Spreadsheet Modeling: Learning Curve -- 3.7 Try Your Skills -- 3.8 Summary -- CHAPTER 4 The Time Value of Money -- 4.1 Introduction -- 4.2 Simple Interest -- 4.3 Compound Interest -- 4.4 The Concept of Equivalence -- 4.5 Notation and Cash-Flow Diagrams and Tables -- 4.6 Relating Present and Future Equivalent Values of Single Cash Flows -- 4.7 Relating a Uniform Series (Annuity) to Its Present and Future Equivalent Values -- 4.8 Summary of Interest Formulas and Relationships for Discrete Compounding -- 4.9 Deferred Annuities (Uniform Series) -- 4.10 Equivalence Calculations Involving Multiple Interest Formulas -- 4.11 Uniform (Arithmetic) Gradient of Cash Flows -- 4.12 Geometric Sequences of Cash Flows -- 4.13 Interest Rates that Vary with Time -- 4.14 Nominal and Effective "]
[{"$nulls":4},"Interest Rates -- 4.15 Compounding More Often than Once per Year -- 4.16 Interest Formulas for Continuous Compounding and Discrete Cash Flows -- 4.17 CASE STUDY-Understanding Economic \"Equivalence\"."]
[{"$nulls":4},"4.18 Try Your Skills -- 4.19 Summary -- CHAPTER 5 Evaluating a Single Project -- 5.1 Introduction -- 5.2 Determining the Minimum Attractive Rate of Return (MARR) -- 5.3 The Present Worth Method -- 5.4 The Future Worth Method -- 5.5 The Annual Worth Method -- 5.6 The Internal Rate of Return Method -- 5.7 The External Rate of Return Method† -- 5.8 The Payback (Payout) Period Method -- 5.9 Case Study-A Proposed Capital Investment to Improve Process Yield -- 5.10 Electronic Spreadsheet Modeling: Payback Period Method -- 5.11 Try Your Skills -- 5.12 Summary -- Appendix 5-A The Multiple Rate of Return Problem with the IRR Method -- CHAPTER 6 Comparison and Selection among Alternatives -- 6.1 Introduction -- 6.2 Basic Concepts for Comparing Alternatives -- 6.3 The Study (Analysis) Period -- 6.4 Useful Lives Are Equal to the Study Period -- 6.5 Useful Lives Are Unequal among the Alternatives -- 6.6 Personal Finances -- 6.7 Case Study-Ned and Larry's Ice Cream Company -- 6.8 Postevaluation of Results -- 6.9 Project Postevaluation Spreadsheet Approach -- 6.10 Try Your Skills -- 6.11 Summary -- CHAPTER 7 Depreciation and Income Taxes -- 7.1 Introduction -- 7.2 Depreciation Concepts and Terminology -- 7.3 The Classical (Historical) Depreciation Methods -- 7.4 The Modified Accelerated Cost Recovery System -- 7.5 A Comprehensive Depreciation Example -- 7.6 Introduction to Income Taxes -- 7.7 The Effective (Marginal) Corporate Income Tax Rate -- 7.8 Gain (Loss) on the Disposal of an Asset -- 7.9 General Procedure for MakingAfter-Tax Economic Analyses -- 7.10 Illustration of Computations of ATCFs -- 7.11 Economic Value Added -- 7.12 Try Your Skills -- 7.13 Summary -- CHAPTER 8 Price Changes and Exchange Rates -- 8.1 Introduction -- 8.2 Terminology and Basic Concepts -- 8.3 Fixed and Responsive Annuities -- 8.4 Differential Price Changes."]
[{"$nulls":4},"8.5 Spreadsheet Application -- 8.6 Foreign Exchange Rates and Purchasing Power Concepts -- 8.7 Case Study-Selecting Electric Motors to Power an Assembly Line -- 8.8 Try Your Skills -- 8.9 Summary -- CHAPTER 9 Replacement Analysis -- 9.1 Introduction -- 9.2 Reasons for Replacement Analysis -- 9.3 Factors that Must Be Consideredin Replacement Studies -- 9.4 Typical Replacement Problems -- 9.5 Determining the Economic Life of a NewAsset (Challenger) -- 9.6 Determining the Economic Life of a Defender -- 9.7 Comparisons in Which the Defender's Useful LifeDiffers from that of the Challenger -- 9.8 Retirement without Replacement (Abandonment) -- 9.9 After-Tax Replacement Studies -- 9.10 Case Study-Replacement of a Hospital's Emergency Electrical Supply System -- 9.11 Summary -- CHAPTER 10 Evaluating Projects with the Benefit−Cost Ratio Method -- 10.1 Introduction -- 10.2 Perspective and Terminology for AnalyzingPublic Projects -- 10.3 Self-Liquidating Projects -- 10.4 Multiple-Purpose Projects -- 10.5 Difficulties in Evaluating Public-Sector Projects -- 10.6 What Interest Rate Should Be Usedfor Public Projects? -- 10.7 The Benefit−Cost Ratio Method -- 10.8 Evaluating Independent Projects by B−C Ratios -- 10.9 Comparison of Mutually Exclusive Projectsby B−C Ratios -- 10.10 Case Study-Improving a Railroad Crossing -- 10.11 Summary -- CHAPTER 11 Breakeven and Sensitivity Analysis -- 11.1 Introduction -- 11.2 Breakeven Analysis -- 11.3 Sensitivity Analysis -- 11.4 Multiple Factor Sensitivity Analysis -- 11.5 Summary -- CHAPTER 12 Probabilistic Risk Analysis -- 12.1 Introduction -- 12.2 Sources of Uncertainty -- 12.3 The Distribution of Random Variables -- 12.4 Evaluation of Projects with DiscreteRandom Variables -- 12.5 "]
[{"$nulls":4},"Evaluation of Projects with ContinuousRandom Variables -- 12.6 Evaluation of Risk and Uncertaintyby Monte Carlo Simulation."]
[{"$nulls":4},"12.7 Performing Monte Carlo Simulationwith a Computer -- 12.8 Decision Trees -- 12.9 Real Options Analysis -- 12.10 Summary -- CHAPTER 13 The Capital Budgeting Process -- 13.1 Introduction -- 13.2 Debt Capital -- 13.3 Equity Capital -- 13.4 TheWeighted Average Cost of Capital (WACC) -- 13.5 Project Selection -- 13.6 Postmortem Review -- 13.7 Budgeting of Capital Investmentsand Management Perspective -- 13.8 Leasing Decisions -- 13.9 Capital Allocation -- 13.10 Summary -- CHAPTER 14 Decision Making Considering Multiattributes -- 14.1 Introduction -- 14.2 Examples of Multiattribute Decisions -- 14.3 Choice of Attributes -- 14.4 Selection of a Measurement Scale -- 14.5 Dimensionality of the Problem -- 14.6 Noncompensatory Models -- 14.7 Compensatory Models -- 14.8 Summary -- Appendix A Using Excel to Solve Engineering Economy Problems -- APPENDIX B Abbreviations and Notation -- Appendix C Interest and Annuity Tables for Discrete Compounding -- Appendix D Interest and Annuity Tables for Continuous Compounding -- Appendix E Standard Normal Distribution -- Appendix F Selected References -- Appendix G Solutions to Try Your Skills -- Index."]
[null,null,null,"Sommario/riassunto","Engineering Economy is intended for use in undergraduate introductory courses in Engineering Economics     Used by engineering students worldwide, this best-selling text provides a sound understanding of the principles, basic concepts, and methodology of engineering economy. Built upon the rich and time-tested teaching materials of earlier editions, it is extensively revised and updated to reflect current trends and issues, with an emphasis on the economics of engineering design throughout. It provides one of the most complete and up-to-date studies of this vitally important field.     MyEngineeringLab for Engineering Economy is a total learning package that is designed to improve results through personalized learning. MyEngineeringLab is an online homework, tutorial, and assessment program that truly engages students in learning. It helps students better prepare for class, quizzes, and exams-resulting in better performance in the course-and provides educators a dynamic set of tools for gauging individual and class progress.     &nbsp."]
[null,"3.","Record Nr.",null,"UNINA9910983495003321"]
[null,null,"Autore",null,"Lin Zhouchen"]
[null,null,"Titolo",null,"Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part IV / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9789819785056"]
[{"$nulls":4},"9819785057"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (524 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 15034"]
[null,null,"Disciplina",null,"006"]
[null,null,"Soggetti",null,"Image processing - Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Computer systems"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Computer Communication Networks"]
[{"$nulls":4},"Computer System Implementation"]
[{"$nulls":4},"Machine Learning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Contextual Feature-Based Medical Visual Question Answering Aided by Learnable Matrix -- ImgQuant: Towards adversarial defense with robust boundary via dual-image quantization -- Swelling-ViT: Rethink Data-efficient Vision Transformer from Locality -- Target-Specific Domain Adaptation via Geometry-Correlation Prediction for Point Cloud -- Dual-stream Network of Vision Mamba and CNN with Auto-scaling for Remote Sensing Image Segmentation -- PRM: A Pixel-Region-Matching Approach for Fast Video Object Segmentation -- A Novel Combined GAN for Defects Generation using Masking Mechanisms -- Semi-supervised lightweight fabric defect detection -- Semi-adaptive "]
[{"$nulls":4},"Synergetic Two-way Pseudoinverse Learning System -- Invariant Risk Minimization Augmentation for Graph Contrastive Learning -- Enhancing Fast Adversarial Training with Learnable Adversarial Perturbations -- DTAFORMER: Directional Time Attention Transformer For Long-Term Series Forecasting -- Unpaired Multi-scenario Sketch Synthesis via Texture Enhancement -- ISO-VTON: Fine-Grained Style-Local Flows with Dual Cross-Attention for Immersive Outfitting -- Near-surface Air Temperature Inversion Study Based on U-Net Family with Multi-source Data -- Relation Detection with Transformers for Panoptic Scene Graph Generation -- WEDNet: A Wavelet Enhanced Detail Network for Low-Light Image Enhancement -- Textureness-Aware Neural Network for Edge Detection -- Enhancing the Transferability and Stealth of Deepfake Detection Attacks Through Latent Diffusion Models -- Backdoor Richer Watermarks using Dynamic Mask Covering for Dual Identity Verification -- Pedestrian Trajectory Prediction using Spatio-Temporal VAE -- Real-Time DEtection TRansformer with Bi-Level Routing Attention -- NFP-UNet: Deep Learning Estimation of Placeable Areas for 2D Irregular Packing -- Advancements in Photorealistic Style Translation with a Hybrid Generative Adversarial Network -- Transformer Image Quality Assessment Based on Multi-Directional Feature Extraction -- MRGAN: LightWeight Monaural Speech Enhancement using GAN Network -- Data augmentation guided Decouple Knowledge Distillation for low-resolution fine-grained image classification -- GAN-Diffusion Relay Model: Advancing Semantic Image Synthesis -- Virtual Student Distribution Knowledge Distillation for Long-tailed Recognition -- Open-Vocabulary Instance Segmentation-Boundary IS-Goal -- 3DLaneFormer: End-to-End 3D Lane Detection with Voxel Descriptors -- More Like Real World Game Challenge for Partially Observable Multi-Agent Cooperation -- Centroid-centered Modeling for Efficient Vision Transformer Pre-training -- Spectral–Spatial Blockwise Masked Transformer With Contrastive Multi-View Learning for Hyperspectral Image Classification -- Local reactivation for communication efficient federated learning based on sparse gradient deviation."]
[null,null,null,"Sommario/riassunto","This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18–20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications."]