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Battery management systems. Volume I, Battery modeling
Published 2015Full text (MFA users only)
Electronic eBook -
143
Differential algebra and related topics - proceedings of the international workshop.
Published 2002Table of Contents: “…6 Reduction Algorithms 7 Rosenfeld Properties of an Autoreduced Set ; 8 Coherence and Rosenfeld's Lemma ; 9 Ritt-Raudenbush Basis Theorem ; 10 Decomposition Problems ; 11 Component Theorems ; 12 The Low Power Theorem ; Appendix: Solutions and hints to selected exercises ; References…”
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Electronic eBook -
144
Trends in Functional Programming.
Published 2007Table of Contents: “…Front Cover; Preliminary Pages; Contents; Preface; Proving Termination Using Dependent Types: The Case of Xor-Terms; Proving the Correctness of Algorithmic Debugging for Functional Programs; Systematic Synthesis of Functions; A Purely Functional Implementation of ROBDDs in Haskell; Efficient Interpretation by Transforming Data Types and Patterns to Functions; Object-Oriented Programming in Dependent Type Theory; A Sharing Analysis for SAFE; Memory Usage Improvement Using Runtime Alias Detection; A Model of Functional Programming with Dynamic Compilation and Optimization.…”
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145
Advanced manufacturing technology and systems : selected, peer reviewed papers from the 2012 International Conference on Advanced Manufacturing Technology and Systems (AMTS 2012),...
Published 2012Table of Contents: “…A Study on Corrosion Resistance and Weatherability of Fluorocarbon Anti-Corrosion Coatings for External Surface of Ocean PlatformA Study on the Mechanical Properties of Polymer-Ceramic Composite Using Injection Moulding; An Enhanced Resolution Three-Dimensional Transformation Method Based on Discrete Wavelet Transform; An Entropy Based Analytical Model for Thermoelastic Damping in Micromechanical Resonators; An Improved Ant Colony Optimization for Large-Scale Simple Assembly Line Balancing Problem of Type-1…”
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Electronic Conference Proceeding eBook -
146
Analysis of biological data : a soft computing approach
Published 2007Table of Contents: “…Feature selection for cancer classification using ant colony optimization and support vector machines / A. …”
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148
Visual Data Mining : The VisMiner Approach.
Published 2012Table of Contents: “…Regression Analysis -- The Regression Model -- Correlation and Causation -- Algorithms for Regression Analysis -- Assessing Regression Model Performance -- Model Validity -- Looking Beyond R2 -- Polynomial Regression -- Artificial Neural Networks for Regression Analysis -- Dataset Preparation -- Tutorial -- A Regression Model for Home Appraisal -- Modeling with the Right Set of Observations -- Exercise 6.1 -- ANN Modeling -- The Advantage of ANN Regression -- Top-Down Attribute Selection -- Issues in Model Interpretation -- Model Validation -- Model Application -- Summary…”
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149
DSP with Python Programming.
Published 2017Table of Contents: “…Gaussian linear case: Kalman algorithm; 3.5. Discrete finite Markov case; 4 Monte-Carlo Methods; 4.1. …”
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150
Theory of linear ill-posed problems and its applications
Published 2002Table of Contents: “…Basic techniques for constructing regularizing algorithms -- 3.1. Reduction to operator equations of the second kind -- 3.2. …”
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151
Focus on artificial neural networks
Published 2011Table of Contents: “…ARTIFICIAL NEURAL NETWORKS (ANNS) -- 3. MICROEMULSIONS -- 4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS -- 4.1. …”
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152
Metaheuristics for vehicle routing problems.
Published 2015Table of Contents: “…Memetic algorithm; 4.1.3. Memetic algorithm with population management; 4.1.4. …”
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153
Industrial control systems
Published 2011Table of Contents: “…EXTRACTIVE FERMENTATION PROCESS FOR BIOETHANOL PRODUCTION ; 3. PLANT MODEL BASED ON ANN ; 3.1. ANN Configurations.…”
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154
Resources utilization and productivity enhancement case studies
Published 2015Full text (MFA users only)
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156
Fractional order analysis : theory, methods and applications
Published 2020Table of Contents: “…On the fractional derivative and integral operators -- Generalized conformable fractional operators and their applications -- Analysis of new trends of fractional differential equations -- New estimations for exponentially convexity via conformable fractional operators -- Lyapunov type inequalities for local fractional proportional derivatives -- Minkowski type inequalities for mixed conformable fractional integrals -- New estimations for different kinds of convex functions via conformable integrals and RiemannLiouville fractional integral operators -- Legendre-Spectral algorithms for solving some fractional differential equations -- Mathematical modeling of an autonomous nonlinear dynamical system for Malaria transmission using Caputo derivative -- MHD free convection flow over a vertical plate with ramped wall temperature and chemical reaction in view of non-singular kernel -- Comparison of the different fractional derivatives for the dynamics of Zika virus.…”
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Automata and Computability.
Published 1997Table of Contents: “…Miscellaneous Exercises Turing Machines and Effective ComputabilityHints for Selected Miscellaneous Exercises; Solutions to Selected Miscellaneous Exercises; References; Notation and Abbreviations; Index.…”
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159
QoS and Energy Management in Cognitive Radio Network : Case Study Approach.
Published 2016Table of Contents: “…1.6.1 Channel Selection in CR Based Infrastructure Network1.6.2 Channel Selection in CR Based Ad-hoc Network; 1.7 MAC Protocols for Cognitive Radio Networks; 1.7.1 Random Access Based MAC Scheme; 1.7.2 Time-Slotted Based MAC Scheme; 1.8 Self-coexistence in Cognitive Radio Networks; 1.8.1 Resource Relocation Based Self-coexistence; 1.8.2 Resource Sharing Based Self-coexistence; 1.9 Discussion; References; 2 Cognitive Radio Network- A Review; 2.1 Spectrum Management; 2.1.1 Ant Colony Optimization Based Spectrum Management; 2.1.2 Non-linear Optimization Based Spectrum Management.…”
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160
Scala for Machine Learning - Second Edition.
Published 2017Table of Contents: “…; Scala as a functional language; Abstraction; Higher kinded types; Functors; Monads; Scala as an object oriented language; Scala as a scalable language; Model categorization; Taxonomy of machine learning algorithms; Unsupervised learning; Clustering; Dimension reduction; Supervised learning; Generative models.…”
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