Search Results - (((((((kant OR hands) OR mantis) OR makart) OR cantor) OR anne) OR shape) OR hints) algorithms.

Special issue on the discreet element method : numerical modeling of discontinue. by Kuhn, Matthew R.

Table of Contents: “…Comparison of experimental and FEM/DEM results for gravitational deposition of identical cubesA 2D polygon/polygon contact model: algorithmic aspects; Selecting a suitable time step for discrete element simulations that use the central difference time integration scheme; Numerical studies of uniaxial powder compaction process by 3D DEM; Thin tunnel liners modelled with particle flow code; Shape selection menu for grand scale discontinua systems.…”
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The finite element method : its basis and fundamentals by Zienkiewicz, O. C.

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Optimal structural design : contact problems and high-speed penetration by Banichuk, Nikolaĭ Vladimirovich, Ivanova, S. I︠U︡. (Svetlana I︠U︡rʹevna)

Table of Contents: “…Shape optimization of punch moving with friction; 4. …”
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F♯ for Machine Learning Essentials. by Mukherjee, Sudipta

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Engineering optimization : an introduction with metaheuristic applications by Yang, Xin-She

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Data Analytics in Bioinformatics : A Machine Learning Perspective. by Satpathy, Rabinarayan

Table of Contents: “…3.4.1 Comparative Analysis of ANN With Broadly Used Traditional ML Algorithms -- 3.5 Critical Analysis -- 3.6 Conclusion -- References -- Part 2: MACHINE LEARNING AND GENOMIC TECHNOLOGY, FEATURE SELECTION AND DIMENSIONALITY REDUCTION -- 4 Dimensionality Reduction Techniques: Principles, Benefits, and Limitations -- 4.1 Introduction -- 4.2 The Benefits and Limitations of Dimension Reduction Methods -- 4.3 Components of Dimension Reduction -- 4.3.1 Feature Selection -- 4.3.2 Feature Reduction -- 4.4 Methods of Dimensionality Reduction -- 4.4.1 Principal Component Analysis (PCA)…”
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OIPE 2012

Table of Contents: “…Optimization of EMI filters for electrical drives in aircraftAdaptive level set method for accurate boundary shape in optimization of electromagnetic systems; Amodified immune algorithm with spatial filtering for multiobjective topology optimisation of electromagnetic devices; Use of compensation theorem for the robustness assessment of electromagnetic devices optimal design; Multi-physics optimisation of an energy harvester device for automotive application; Stochastic modeling error reduction using Bayesian approach coupled with an adaptive Kriging-based model.…”
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Learning Boost C++ libraries : solve practical programming problems using powerful, portable, and expressive libraries from Boost by Mukherjee, Arindam

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Handbook of Computational Geometry. by Sack, J. R.

Table of Contents: “…Arrangements and their applications; Chapter 3. Discrete geometric shapes: Matching, interpolation, and approximation; Chapter 4. …”
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The NURBS Book by Piegl, Les

Table of Contents: “…One Curve and Surface Basics -- 1.1 Implicit and Parametric Forms -- 1.2 Power Basis Form of a Curve -- 1.3 Bézier Curves -- 1.4 Rational Bézier Curves -- 1.5 Tensor Product Surfaces -- Exercises -- Two B-Spline Basis Functions -- 2.1 Introduction -- 2.2 Definition and Properties of B-spline Basis Functions -- 2.3 Derivatives of B-spline Basis Functions -- 2.4 Further Properties of the Basis Functions -- 2.5 Computational Algorithms -- Exercises -- Three B-spline Curves and Surfaces -- 3.1 Introduction -- 3.2 The Definition and Properties of B-spline Curves -- 3.3 The Derivatives of a B-spline Curve -- 3.4 Definition and Properties of B-spline Surfaces -- 3.5 Derivatives of a B-spline Surface -- Exercises -- Four Rational B-spline Curves and Surfaces -- 4.1 Introduction -- 4.2 Definition and Properties of NURBS Curves -- 4.3 Derivatives of a NURBS Curve -- 4.4 Definition and Properties of NURBS Surfaces -- 4.5 Derivatives of a NURBS Surface -- Exercises -- Five Fundamental Geometric Algorithms -- 5.1 Introduction -- 5.2 Knot Insertion -- 5.3 Knot Refinement -- 5.4 Knot Removal -- 5.5 Degree Elevation -- 5.6 Degree Reduction -- Exercises -- Six Advanced Geometric Algorithms -- 6.1 Point Inversion and Projection for Curves and Surfaces -- 6.2 Surface Tangent Vector Inversion -- 6.3 Transformations and Projections of Curves and Surfaces -- 6.4 Reparameterization of NURBS Curves and Surfaces -- 6.5 Curve and Surface Reversal -- 6.6 Conversion Between B-spline and Piecewise Power Basis Forms -- Exercises -- Seven Conics and Circles -- 7.1 Introduction -- 7.2 Various Forms for Representing Conics -- 7.3 The Quadratic Rational Bézier Arc -- 7.4 Infinite Control Points -- 7.5 Construction of Circles -- 7.6 Construction of Conies -- 7.7 Conic Type Classification and Form Conversion -- 7.8 Higher Order Circles -- Exercises -- Eight Construction of Common Surfaces -- 8.1 Introduction -- 8.2 Bilinear Surfaces -- 8.3 The General Cylinder -- 8.4 The Ruled Surface -- 8.5 The Surface of Revolution -- 8.6 Nonuniform Scaling of Surfaces -- 8.7 A Three-sided Spherical Surface -- Nine Curve and Surface Fitting -- 9.1 Introduction -- 9.2 Global Interpolation -- 9.3 Local Interpolation -- 9.4 Global Approximation -- 9.5 Local Approximation -- Exercises -- Ten Advanced Surface Construction Techniques -- 10.1 Introduction -- 10.2 Swung Surfaces -- 10.3 Skinned Surfaces -- 10.4 Swept Surfaces -- 10.5 Interpolation of a Bidirectional Curve Network -- 10.6 Coons Surfaces -- Eleven Shape Modification Tools -- 11.1 Introduction -- 11.2 Control Point Repositioning -- 11.3 Weight Modification -- 11.4 Shape Operators -- 11.5 Constraint-based Curve and Surface Shaping -- Twelve Standards and Data Exchange -- 12.1 Introduction -- 12.2 Knot Vectors -- 12.3 Nurbs Within the Standards -- 12.4 Data Exchange to and from a NURBS System -- Thirteen B-spline Programming Concepts -- 13.1 Introduction -- 13.2 Data Types and Portability -- 13.3 Data Structures -- 13.4 Memory Allocation -- 13.5 Error Control -- 13.6 Utility Routines -- 13.7 Arithmetic Routines -- 13.8 Example Programs -- 13.9 Additional Structures -- 13.10 System Structure -- References.…”
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Nonlinear Optimization of Vehicle Safety Structures : Modeling of Structures Subjected to Large Deformations. by Christensen, Jesper

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Agent-based computing

Table of Contents: “…Analysis of Algorithm -- 2.1.1. Chain-Like Agent Structure -- 2.1.2. …”
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Electronic Skin by Ibrahim, Ali

Table of Contents: “…2 Artificial Tactile Sensing and Electronic-Skin Technologies -- 2.1 Introduction -- 2.2 SENSE of Touch -- 2.3 Artificial Skin: Concept and Evolution -- 2.3.1 Understanding the Human Skin Physiology -- 2.3.2 Artificial Skins -- 2.4 E-Skin Systems -- 2.4.1 Transduction Mechanisms -- 2.4.2 Tactile Sensing Applications: Robotic and Prosthetic Hands -- 2.4.2.1 Tactile sensors in commercial robotic hands -- 2.4.2.2 Tactile sensory systems in prosthetics hands -- 2.5 Requirements and Challenges -- 2.6 Conclusion and Perspectives -- References…”
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OpenCV with Python by example : build real-world computer vision applications and develop cool demos using OpenCV for Python by Joshi, Prateek

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Advances in Knowledge-Based and Intelligent Engineering and Information Systems by Frydman, Claudia

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Applied modelling, numerical simulation, computation and optimization. by De Souza Neto, Eduardo

Table of Contents: “…Modeling and control of an unbalanced magnetic rotor-bearing system asa bearingless motorNumerical simulation of the influence of particle shape on the mechanical properties of rockfill materials; Heat dissipation analysis of continuously-moving plate undergoing thermal processing using Laplace Adomian decomposition method; A shortcut algorithm for solving long-term conjugate heat transfer problems based on quasi-steady flow; Identification of plastic anisotropy using spherical indentation on different anisotropic yield criterions.…”
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Firewall design and analysis by Liu, Alex X.

Table of Contents: “…Diverse firewall design. 3.1. Construction algorithm. 3.2. Shaping algorithm. 3.3. Comparison algorithm. 3.4. …”
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Ivor Horton's beginning Visual C++ 2012 by Horton, Ivor

Table of Contents: “…Algorithms --…”
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Future Farming. by Shukla, Praveen Kumar

Table of Contents: “…PROPOSED METHODOLOGY -- Pre-processing -- Leaf Image from Plants -- Segmentation Model Using Improved Canny Algorithm -- Steps of Improved Canny Algorithm -- Leaf Image Feature Selection Using Hybrid Black Widow Optimization Algorithm with Mayfly Optimization Algorithm (BWO-MA) -- Pseudo-Code of the Hybrid (BWO-MA) Algorithm -- Output: Objective Function's -RMSE -- Leaf Image Classification Using (BWO-MA) with ANN -- Hyper-Parameter Tuning With (BWO-MA) -- RESULT AND DISCUSSION -- Dataset Description -- Evaluation & Results -- CONCLUSION -- REFERENCES…”
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Rough fuzzy image analysis : foundations and methodologies

Table of Contents: “…1. Cantor, fuzzy, near, and rough sets in image analysis / James F. …”
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