Search Results - (((((((ant OR giant) OR santis) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.

Big data and differential privacy : analysis strategies for railway track engineering by Attoh-Okine, Nii O.

Full text (MFA users only)

The spirit of the hive : the mechanisms of social evolution by Page, Robert E.

Full text (MFA users only)

Linear Models. by Searle, Shayle R.

Table of Contents: “…(Gauss-Markov Theorem) -- e Least-squares Theory When The Parameters are Random Variables -- 4 Consequences of Estimation -- a Unbiasedness -- b Variances -- c Estimating E(y)…”
Full text (MFA users only)

Machine Learning in Chemical Safety and Health : Fundamentals with Applications. by Wang, Qingsheng

Table of Contents: “…Chapter 3 Flammability Characteristics Prediction Using QSPR Modeling -- 3.1 Introduction -- 3.1.1 Flammability Characteristics -- 3.1.2 QSPR Application -- 3.1.2.1 Concept of QSPR -- 3.1.2.2 Trends and Characteristics of QSPR -- 3.2 Flowchart for Flammability Characteristics Prediction -- 3.2.1 Dataset Preparation -- 3.2.2 Structure Input and Molecular Simulation -- 3.2.3 Calculation of Molecular Descriptors -- 3.2.4 Preliminary Screening of Molecular Descriptors -- 3.2.5 Descriptor Selection and Modeling -- 3.2.6 Model Validation -- 3.2.6.1 Model Fitting Ability Evaluation -- 3.2.6.2 Model Stability Analysis -- 3.2.6.3 Model Predictivity Evaluation -- 3.2.7 Model Mechanism Explanation -- 3.2.8 Summary of QSPR Process -- 3.3 QSPR Review for Flammability Characteristics -- 3.3.1 Flammability Limits -- 3.3.1.1 LFLT and LFL -- 3.3.1.2 UFLT and UFL -- 3.3.2 Flash Point -- 3.3.3 Auto-ignition Temperature -- 3.3.4 Heat of Combustion -- 3.3.5 Minimum Ignition Energy -- 3.3.6 Gas-liquid Critical Temperature -- 3.3.7 Other Properties -- 3.4 Limitations -- 3.5 Conclusions and Future Prospects -- References -- Chapter 4 Consequence Prediction Using Quantitative Property-Consequence Relationship Models -- 4.1 Introduction -- 4.2 Conventional Consequence Prediction Methods -- 4.2.1 Empirical Method -- 4.2.2 Computational Fluid Dynamics (CFD) Method -- 4.2.3 Integral Method -- 4.3 Machine Learning and Deep Learning-Based Consequence Prediction Models -- 4.4 Quantitative Property-Consequence Relationship Models -- 4.4.1 Consequence Database -- 4.4.2 Property Descriptors -- 4.4.3 Machine Learning and Deep Learning Algorithms -- 4.5 Challenges and Future Directions -- References -- Chapter 5 Machine Learning in Process Safety and Asset Integrity Management -- 5.1 Opportunities and Threats -- 5.2 State-of-the-Art Reviews -- 5.2.1 Artificial Neural Networks (ANNs).…”
Full text (MFA users only)

Computational neuroanatomy : the methods by Chung, Moo K.

Table of Contents: “…5.3.3 Laplace-Beltrami Shape Descriptors5.3.4 Second Eigenfunctions; 5.3.5 Dirichlet Energy; 5.3.6 Fiedler's Vector; 5.4 Finite Element Methods; 5.4.1 Pieacewise Linear Functions; 5.4.2 Mass and Stiffness Matrices; 6. …”
Full text (MFA users only)

Contemporary Ring Theory 2011 : Proceedings of the Sixth China-japan-korea International Conference on Ring Theory. by Kim, Jin Yong

Table of Contents: “…Abelian rings and uniquely clean rings; References; WHEN DO THE DIRECT SUMS OF MODULES INHERIT CERTAIN PROPERTIES? …”
Full text (MFA users only)

Mechanical Instability. by Krysinski, Tomasz

Full text (MFA users only)

Regularization theory for ill-posed problems : selected topics by Lu, Shuai, Pereverzev, Sergei V.

Table of Contents: “…Numerical examples3 Multiparameter regularization; 3.1 When do we really need multiparameter regularization?…”
Full text (MFA users only)

Lead generation for dummies by Rothman, Dayna

Full text (MFA users only)

Analytics stories : using data to make good things happen by Winston, Wayne L.

Table of Contents: “…-- How much should we order and when should we order? -- How does the UPS driver know the order to deliver packages? …”
Full text (MFA users only)

Computational models of argument : Proceedings of COMMA 2012

Table of Contents: “…Simari -- Automated Deployment of Argumentation Protocols / Michael Rovatsos -- On Preferred Extension Enumeration in Abstract Argumentation / Katie Atkinson -- Towards Experimental Algorithms for Abstract Argumentation / Katie Atkinson.…”
Full text (MFA users only)

A Hands-On Guide to Designing Embedded Systems. by Taylor, Adam

Table of Contents: “…-- 3.7 Finite State Machine Design -- 3.7.1 Defining a State Machine -- 3.7.2 Algorithmic State Diagrams -- 3.7.3 Moore or Mealy: What Should I Choose? …”
Full text (MFA users only)

Vehicle Dynamics. by Meywerk, Martin

Table of Contents: “…11.4 Linearized Equations of Motion of the Single-track Model -- 11.5 Relationship between Longitudinal Forces and Lateral Forces in the Contact Patch -- 11.6 Effect of Differentials when Cornering -- 11.7 Questions and Exercises -- Chapter 12 Circular Driving at a Constant Speed -- 12.1 Equations -- 12.2 Solution of the Equations -- 12.3 Geometric Aspects -- 12.4 Oversteering and Understeering -- 12.5 Questions and Exercises -- Chapter 13 Dynamic Behaviour -- 13.1 Stability of Steady-state Driving Conditions -- 13.2 Steering Behaviour -- 13.3 Crosswind Behaviour -- 13.4 Questions and Exercises…”
Full text (MFA users only)

Handbook of safety principles

Table of Contents: “…Success or Failure / Ann Enander -- 30.8. Relations to Other Safety Principles / Ann Enander -- References / Ann Enander -- Further Reading / Ann Enander -- 31. …”
Full text (MFA users only)

Handbook of convex optimization methods in imaging science

Full text (MFA users only)

Stochastic filtering with applications in finance by Bhar, Ramaprasad

Table of Contents: “…Economic convergence in a filtering framework. 3.3. Ex-ante equity risk premium. 3.4. Concluding remarks -- 4. …”
Full text (MFA users only)

Essentials of Monte Carlo Simulation : Statistical Methods for Building Simulation Models. by Thomopoulos, Nick T.

Full text (MFA users only)

Data Analysis and Applications 1 : New and Classical Approaches. by Skiadas, Christos

Table of Contents: “…Similarity to homogeneous distributional shapes1.3.11. Stability; 1.3.12. Further Aspects; 1.4. …”
Full text (MFA users only)

Advanced mathematical & computational tools in metrology & testing VIII

Full text (MFA users only)

The structure of amorphous materials using molecular dynamics by Massobrio, C. (Carlo)

Table of Contents: “…4.2.4 The beauty of the Verlet algorithm -- 4.3 Creating a computer glass via MD: the initial conditions -- 4.4 Production of trajectories and the setup of a thermal cycle -- 4.4.1 An essential summary before hitting the road -- 4.4.2 Starting to run carefully and cautiously: a mini guide -- 4.4.3 Handling adiabaticity: the gap issue -- 4.4.4 Some instructions to be effective when moving to high temperatures -- 4.4.5 Quenching down to the glassy state -- 4.5 Dealing with FPMD odds and ends (including non-adiabaticity): the case of SiN -- 4.5.1 State of the art and calculations…”
Full text (MFA users only)