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[null,"1.","Record Nr.",null,"UNINA9910139509503321"]
[null,null,"Titolo",null,"Structural components [[electronic resource] ] : mechanical tests and behavioral laws / / edited by Dominique François"]
[null,null,"Pubbl/distr/stampa",null,"London, : ISTE"]
[{"$nulls":4},"Hoboken, NJ, USA, : Wiley, : ISTE, 2008"]
[null,null,"ISBN",null,"1-282-25392-1"]
[{"$nulls":4},"9786613814579"]
[{"$nulls":4},"0-470-61103-0"]
[{"$nulls":4},"0-470-39361-0"]
[null,null,"Descrizione fisica",null,"1 online resource (343 p.)"]
[null,null,"Collana",null,"ISTE ; ; v.18"]
[null,null,"Disciplina",null,"620.1/123"]
[{"$nulls":4},"624.1"]
[null,null,"Soggetti",null,"Materials - Mechanical properties"]
[{"$nulls":4},"Deformations (Mechanics)"]
[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","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Structural Components; Table of Contents; Chapter 1. Introduction; Chapter 2. Constitutive Equations; 2.1. Introduction; 2.2. Fundamental concepts; 2.2.1. Domain of elasticity; 2.2.2. Hardening; 2.2.3. Normality rules; 2.3. Unified theory of viscoplasticity; 2.3.1. General form of the constitutive law; 2.3.2. Choice of viscosity law; 2.3.3. Isotropic hardening laws; 2.3.4. Kinematic hardening laws; 2.3.5. Cyclic hardening and softening; 2.3.6. Static recovery; 2.3.7. Time-independent limit case; 2.3.8. Methods of determination"]
[{"$nulls":4},"2.3.8.1. Determination of hardening laws within independent time-scheme2.3.8.2. Determination of the viscosity law; 2.3.8.3. Determination of static recovery effects; 2.3.9. Other unified approaches; 2.4. Other types of modeling; 2.4.1. Plasticity-creep partition; 2.4.2. Methods by means of micro-macro transposition; 2.4.3. More advanced hardening laws; 2.4.4. Aging; 2.4.5. Damage; 2.5. Conclusion; 2.6. Bibliography; Chapter 3. Measurement of Elastic Constants; 3.1. Elastic constants; 3.1.1. The perfect crystal - elastic constants; 3.1.2. Isotropic solid - elastic moduli"]
[{"$nulls":4},"3.1.3. From isotropic solid to real material3.1.4. Dynamic modulus; 3.2. Quasi-static mechanical tests; 3.2.1. Uni-axial tensile and compression tests; 3.2.2. Torsion and bending tests; 3.2.3. Hydrostatic compression "]
[{"$nulls":4},"tests; 3.3. Ultrasonic methods; 3.3.1. Principle; 3.3.2. Measurement error sources; 3.3.3. Measurements at high temperatures; 3.3.4. Immersion-bath ultrasound interferometry; 3.4. Resonant methods; 3.4.1. Introduction to resonant methods; 3.4.2. Various experimental methods; 3.4.3. Bar and disk tests; 3.4.4. Bending tests on foil; 3.4.5. Torsion tests; 3.4.6. Other tests"]
[{"$nulls":4},"3.5. Modulus measurements of coatings3.5.1. Vibratory methods; 3.5.2. Instrumented indentation; 3.6. Bibliography; Chapter 4. Tensile and Compression Tests; 4.1. Introduction; 4.2. Description of the tensile test; 4.2.1. Test piece; 4.2.2. Gripping; 4.2.3. Tensile testing machine; 4.2.3.1. Arrangements; 4.2.3.2. Stiffness; 4.3. Standard data; 4.4. Determination of constitutive equations; 4.4.1. True stress and strain; 4.4.2. Empirical expressions of the work hardening curve; 4.4.3. Necking; 4.4.3.1. Condition with no strain rate effect; 4.4.3.2. Strain rate sensitivity; 4.4.3.3. Yield drops"]
[{"$nulls":4},"4.5. Damage determination4.6. Compression test; 4.7. Conclusion; 4.8. Notations; 4.9. Bibliography; Chapter 5. Hardness Tests; 5.1. Introduction; 5.2. Standard hardness tests; 5.2.1. Vickers hardness tests; 5.2.2. Micro-hardness; 5.2.3. Nano-hardness (Berkovich type indenter); 5.2.4. Brinell and Rockwell ball tests; 5.3. Analytical approaches of hardness tests; 5.3.1. Identification of the modulus of elasticity (Hertz contact); 5.3.2. Identification of the yield strength (Hill's analysis); 5.4. Finite element analysis of hardness test; 5.4.1. Finite element method"]
[{"$nulls":4},"5.4.2. Effect of work-hardening amplitude"]
[null,null,null,"Sommario/riassunto","The mechanical tests presented in this book are essential for determining the basic properties of the materials used. Areas covered include elasticity, tensile and compression tests, hardness, endurance tests and dynamic tests."]
[null,"2.","Record Nr.",null,"UNINA9910983034603321"]
[null,null,"Autore",null,"Leonardis Aleš"]
[null,null,"Titolo",null,"Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXXVI / / edited by Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-031-73016-X"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (555 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 15144"]
[null,null,"Disciplina",null,"006"]
[null,null,"Soggetti",null,"Image processing - Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"User interfaces (Computer systems)"]
[{"$nulls":4},"Human-computer interaction"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Computers, Special purpose"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Computer Communication Networks"]
[{"$nulls":4},"User Interfaces and Human Computer Interaction"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Special Purpose and Application-Based Systems"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Spline-based Transformers -- Learning Pseudo 3D Guidance for View-consistent Texturing with 2D Diffusion -- TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly -- SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data -- Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models -- Adversarial Diffusion Distillation -- Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection -- Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts -- Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation -- A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis -- Missing Modality Prediction for Unpaired Multimodal Learning via "]
[{"$nulls":4},"Joint Embedding of Unimodal Models -- Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information -- Improving Diffusion Models for Authentic Virtual Try-on in the Wild -- Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models -- LISO: Lidar-only Self-Supervised 3D Object Detection -- Text-Conditioned Resampler For Long Form Video Understanding -- Implicit Steganography Beyond the Constraints of Modality -- Using My Artistic Style? You Must Obtain My Authorization -- LookupViT: Compressing visual information to a limited number of tokens -- Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation -- UMERegRobust – Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration -- Non-transferable Pruning -- A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis -- Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations -- Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning -- Affine steerers for structured keypoint description."]
[null,null,null,"Sommario/riassunto","The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation."]