Search Results - (((((((ant OR anti) OR mkantis) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.

Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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Chemical engineering and material properties III : selected, peer reviewed papers from the 2014 4th International Symposium on Chemical Engineering and Material Properties (ISCEMP...

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Optimization advances in electric power systems

Table of Contents: “…Unreliability Costs -- 3.5. Proposed Algorithms -- 3.5.1. ES and TS Algorithms -- 3.5.2. …”
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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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Biological small angle scattering : theory and practice by Lattman, Eaton E. (Eaton Edward), 1940-, Grant, Thomas D. (Staff scientist), Snell, Edward H.

Table of Contents: “…3.6 Summary4. Shape Reconstructions from Small Angle Scattering Data; 4.1 Calculating Scattering Profiles from Three-Dimensional Models; 4.1.1 Debye Equation; 4.1.2 Gaining a Feel for the Spherical Harmonic Function; 4.1.3 Spherical Harmonic Representation of Envelopes; 4.1.4 Expansion of the Structure Factor Equation in Spherical Harmonics; 4.1.5 Zernicke Polynomial Expansion; 4.1.6 Solvent Considerations; 4.2 Ab Initio Modeling; 4.2.1 Modeling by Simple Shapes; 4.2.2 Simple Model Examples; 4.2.3 Envelope Fitting Using Analytical Functions…”
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Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

Table of Contents: “…Snowball stemming -- Lancaster stemming -- Lovins stemming -- Dawson stemming -- Lemmatization -- N-grams -- Feature extraction -- One hot encoding -- TF-IDF -- CountVectorizer -- Word2Vec -- CBOW -- Skip-Gram model -- Applying NLP techniques -- Text classification -- Introduction to Naive Bayes' algorithm -- Random Forest -- Naive Bayes' text classification code example -- Implementing sentiment analysis -- Frequently asked questions -- Summary -- Chapter 7: Fuzzy Systems -- Fuzzy logic fundamentals -- Fuzzy sets and membership functions -- Attributes and notations of crisp sets -- Operations on crisp sets -- Properties of crisp sets -- Fuzzification -- Defuzzification -- Defuzzification methods -- Fuzzy inference -- ANFIS network -- Adaptive network -- ANFIS architecture and hybrid learning algorithm -- Fuzzy C-means clustering -- NEFCLASS -- Frequently asked questions -- Summary -- Chapter 8: Genetic Programming -- Genetic algorithms structure -- KEEL framework -- Encog machine learning framework -- Encog development environment setup -- Encog API structure -- Introduction to the Weka framework -- Weka Explorer features -- Preprocess -- Classify -- Attribute search with genetic algorithms in Weka -- Frequently asked questions -- Summary -- Chapter 9: Swarm Intelligence -- Swarm intelligence -- Self-organization -- Stigmergy -- Division of labor -- Advantages of collective intelligent systems -- Design principles for developing SI systems -- The particle swarm optimization model -- PSO implementation considerations -- Ant colony optimization model -- MASON Library -- MASON Layered Architecture -- Opt4J library -- Applications in big data analytics -- Handling dynamical data -- Multi-objective optimization -- Frequently asked questions -- Summary -- Chapter 10: Reinforcement Learning -- Reinforcement learning algorithms concept.…”
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Seismic Data Interpretation using Digital Image Processing by Al-Shuhail, Abdullatif A., Al-Dossary, Saleh A., Mousa, Wail A.

Table of Contents: “…5.5 Two-Dimensional Second-Order Derivative Operator5.5.1 The Coherence Attribute; 5.5.2 The Dip Attribute; 5.6 The Curvature Attribute; 5.7 Curvature of the Surface; 5.7.1 Curve, Velocity, and Curvature; 5.7.2 Surface, Tangent Plane, and Norm; 5.8 Shape Operator, Normal Curvature, and Principal Curvature; 5.8.1 Normal Curvature; 5.8.2 Shape Operator; 5.8.3 The Principal Curvatures; 5.8.4 Calculation of the Principal Curvatures; 5.8.5 Summary of Calculation of Principal Curvature for a Surface; 5.9 The Randomness Attribute; 5.10 Technique for Two-Dimensional Images.…”
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Ethnic studies in academic and research libraries

Table of Contents: “…"Build it and they will come" -- Fostering transformation -- The value of integrating African American archives into undergraduate studies -- Improving representation on Wikipedia -- Returning to where it all began and connecting the dots -- Collaborative and active engagement at the Hemispheric University -- Librarians and leaders -- Crafting contemporary indigenous studies collections in the age of algorithms -- Building a Vietnamese language collection with the Vietnamese diaspora community -- Engaging with ethnic studies librarians -- For when they arrive -- BIPOC voices speak -- Supporting faculty in indigenizing curriculum and pedagogy -- Student-driven collecting efforts and initiatives -- Making spaces for ethnic studies -- Modeling Black literature -- A perspective on Asian American studies and librarianship -- Holdings in the archives are closer than they appear -- Reclaiming the Asian American history narrative -- Connecting graduate library and information studies students with ethnic studies archives.…”
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Revolutionary routines : the habits of social transformation by Pedwell, Carolyn

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Hes-2019. by Forzan, Michele

Table of Contents: “…Cover -- Guest editorial -- Optimization of electroslag melting towards to titanium morphology improvement in combined Kroll process -- Optimal design methods for the uniform heating of tube ends for stress relieving -- Numerical simulation and verification of MHD-vortex -- Shape optimization of soft magnetic composite inserts for electromagnetic stirrer with traveling magnetic field -- Cold crucible melting with bottom pouring nozzle -- Calibration of laser welding model based on optimization techniques -- Optimal heat induction treatment of titanium alloys…”
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Kaplan's clinical hypertension by Kaplan, Norman M., 1931-2020, Victor, Ronald G., Flynn, Joseph T.

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Optimization and Inverse Problems in Electromagnetism. by Salvini, Alessandro

Table of Contents: “…Cover; EDITORIAL ADVISORY BOARD; Analytical and numerical models of the magnetoacoustic tomography with magnetic induction; Application of PSO and TLBO algorithms with neural network for optimal design of electrical machines; Comparison of three space mapping techniques on electromagnetic design optimization; Optimal shape design of multi layered IPMSM using adaptive dynamic Taylor Kriging model; Design by optimization of controlled static converters with EMC filters in aeronautics.…”
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Fundamentals of Parallel Computing. by Razdan, Sanjay

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Learning concurrency in Kotlin : build highly efficient and robust applications by Castiblanco Torres, Miguel Angel

Table of Contents: “…; Processes, threads, and coroutines; Processes; Threads; Coroutines; Putting things together; Introduction to concurrency; Concurrency is not parallelism; CPU-bound and I/O-bound; CPU-bound; I/O-bound; Concurrency versus parallelism in CPU-bound algorithms; Single-core execution; Parallel execution; Concurrency versus parallelism in I/O-bound algorithms; Why concurrency is often feared; Race conditions; Atomicity violation; Deadlocks; Livelocks…”
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Insect media : an archaeology of animals and technology by Parikka, Jussi, 1976-

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Active Spanwise Lift Control. by Dias, Joaquim Neto

Table of Contents: “…4.4 Physical Interpretation of Aerodynamic Modes -- 4.5 Effects of Varying Wing Planform on the Mode Shapes and Eigenvalues -- 4.6 Chapter Summary -- Chapter 5: Spatial Control of Spanwise Lift Distribution -- 5.1 Model Output Expansion into Mode Shapes -- 5.2 Threshold for Model Truncation -- 5.3 Spatial-Temporal Controller Synthesis -- 5.4 Shape Control Problem -- 5.5 Gust Load Alleviation Problem -- 5.6 Gust Load Alleviation Problem with Gust Estimation -- 5.7 Chapter Summary -- 5.8 Future Developments of This Methodology -- Appendix A -- References -- Index -- Supporting Materials…”
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Electromechanical and systems engineering : selected, peer reviewed papers from the 5th International Congress of Electromechanical and Systems Engineering, 10th-14th November 2008...

Table of Contents: “…Theoretical and Experimental Analysis of Turbulent Liquid Film Flowing down a Vertical Surface -- Study of Flow over a Step Cylinder -- Experimental Study of Water Filtering Using Textiles as in Traditional Methods -- Laminar Flow through a Rectangular Horizontal Channel with Asymmetrical Contraction -- Influence of the Alignment of Two Airfoils in the Losses Generation -- Inverse Heat Transfer Using Levenberg-Marquardt and Particle Swarm Optimization Methods for Heat Source Estimation -- Effect of Maximum Temperature and Heating-Cooling Repeated Cycles on Thermal Contact Resistance of a Composite Tube -- Pneumatic Artificial Mini-Muscles Conception: Medical Robotics Applications -- Synthesis Optimization of Planar Mechanisms -- Resolution of a 3 RRR Planar Parallel Mechanism -- Synthesis of 4C Mechanism for Generation of a Dual Mathematic Function -- Trajectory Generation of Robot Manipulators Using an Artificial Potential Function and Genetic Algorithms -- Stress and Vibration Analysis of a Lathe Bed Made of Aluminum-Copper Alloy for High Speed Machining -- Model Derivation and Numerical Simulation for a Pivoted Rigid Rotor-Bearing System -- Algorithm for Estimating Natural Frequencies and Mode Shapes of Cantilever MEMS Microbeams -- Tensile Strength of Fibers Extracted from the Leaves of the angustifolia Haw Agave in Function of their Length -- Assessment of the Crack Compliance Method and the Introduction of Residual Stresses by Shot Peening Using the Finite Element Method -- Fractal Analysis of the Solar Radiation in Mexico City -- Fractal Analysis of Tissue Biocompatible Neuroreservoir -- Fractal Analysis of EEG Signals in the Brain of Epileptic Rats, with and without Biocompatible Implanted Neuroreservoirs -- Parametric Analysis of Perfect Matched Layer Model of Finite Difference Time Domain Method.…”
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Design in Crisis : New Worlds, Philosophies and Practices. by Fry, Tony

Table of Contents: “…Sacrifices that do not work in a crisis -- 3. When design goes south: from decoloniality, through declassification to dessobons -- 4. …”
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Probabilistic finite element model updating using Bayesian statistics : applications to aeronautical and mechanical engineering by Marwala, Tshilidzi, 1971-, Boulkaibet, Ilyes, 1981-, Adhikari, Sondipon

Table of Contents: “…3.8.2 Markov Chain Monte Carlo Method3.8.3 Simulated Annealing; 3.8.4 Gibbs Sampling; 3.9 Comparison between Approaches; 3.9.1 Numerical Example; 3.10 Conclusions; References; Chapter 4 Metropolis-Hastings and Slice Sampling for Finite Element Updating ; 4.1 Introduction; 4.2 Likelihood, Prior and the Posterior Functions; 4.3 The Metropolis-Hastings Algorithm; 4.4 The Slice Sampling Algorithm; 4.5 Statistical Measures; 4.6 Application 1: Cantilevered Beam; 4.7 Application 2: Asymmetrical H-Shaped Structure; 4.8 Conclusions; References.…”
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Natural language processing with TensorFlow : teach language to machines using Python's deep learning library by Ganegedara, Thushan

Table of Contents: “…Implementing skip-gram with TensorFlowThe Continuous Bag-of-Words algorithm; Implementing CBOW in TensorFlow; Summary; Chapter 4: Advanced Word2vec; The original skip-gram algorithm; Implementing the original skip-gram algorithm; Comparing the original skip-gram with the improved skip-gram; Comparing skip-gram with CBOW; Performance comparison; Which is the winner, skip-gram or CBOW?…”
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