Search Results - (((((((ant OR giant) OR mantis) OR art) OR cantor) OR anne) OR maarten) OR hints) algorithms.

Gradience in grammar : generative perspectives

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Computational methods for next generation sequencing data analysis

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Machine Learning for OpenCV. by Beyeler, Michael

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3D Shape Analysis : Fundamentals, Theory and Applications. by Tabia, Hedi

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Biological data mining and its applications in healthcare

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Symmetry and Perturbation Theory, Proceedings of the International Conference On SPT 2002.

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Joyce without borders : circulations, sciences, media, and mortal flesh

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Electromagnetic Nondestructive Evaluation (XVII). by Capova, K.

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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).…”
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Haptic Feedback Teleoperation of Optical Tweezers by Ni, Zhenjiang

Table of Contents: “…The fundamentals of event-based computation; 2.5. State of the art of silicon retina applications.…”
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Pediatric incontinence : evaluation and clinical management

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Knowledge mining using intelligent agents

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Automatic control in aerospace : Aerospace Control '94 : a postprint volume from the IFAC symposium, Palo Alto, California, USA, 12-16 September 1994

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Robotics : science and systems III

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Swift 2 design patterns : build robust and scalable iOS and Mac OS X game applications by Lange, Julien

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Self Sensing Techniques for Piezoelectric Vibration Applications. by Grasso, Emanuele

Table of Contents: “…Intro; 1 Introduction; 1.1 State of the art; 1.2 Aim of this work; 2 Piezoelectricity and vibrating structures; 2.1 Piezoelectricity; 2.1.1 Piezoelectric effect; 2.1.2 Constitutive equations for piezoelectric materials; 2.1.3 Piezoelectric nonlinearities; 2.1.4 Piezoelectric transducers and actuators; 2.2 Vibrating structures; 2.2.1 Modal analysis; 2.2.2 Modal analysis of a thin cantilevered beam; 2.2.3 Modal analysis of a thin plate; 2.3 Piezoelectric Vibrating Structures (PVS); 2.3.1 Piezoelectric static actuation in a PVS; 2.3.2 Dynamic model of a PVS â#x80;#x93; Rayleigh-Ritz formulation.…”
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Bioinformatics : a Swiss perspective

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Dependable software systems engineering

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Markov chains : from theory to implementation and experimentation by Gagniuc, Paul A.

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Machine interpretation of patterns : image analysis and data mining

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