Alaskan native villages threatened by erosion

Table of Contents: “…Risk Rating Process; Criteria Weighting Factors.…”
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R deep learning essentials : a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet by Hodnett, Mark, Wiley, Joshua F.

Table of Contents: “…Using regularization to overcome overfittingL1 penalty; L1 penalty in action; L2 penalty; L2 penalty in action; Weight decay (L2 penalty in neural networks); Ensembles and model-averaging; Use case -- improving out-of-sample model performance using dropout; Summary; Chapter 4: Training Deep Prediction Models; Getting started with deep feedforward neural networks; Activation functions; Introduction to the MXNet deep learning library; Deep learning layers; Building a deep learning model; Use case -- using MXNet for classification and regression; Data download and exploration.…”
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Translating statistics to make decisions : a guide for the non-statistician by Cox, Victoria

Table of Contents: “…Chapter 4: Descriptive StatisticsContinuous Data; Shape; Skewness; Kurtosis; Transformations; Location; Mode; Median; Mean; Weighted Mean; Spread; Standard Deviation and Variance; Range; Quantiles and Percentiles; IQR and SIQR; MAD; CV; Discrete Data; Bivariate Data; Contingency Tables; Correlation and Covariance; Summary; Chapter 5: Measuring Uncertainty; Confidence Intervals; Continuous Data; Binary Data; Tolerance Intervals; Continuous Data; Binary Data; Prediction Intervals; Summary; Chapter 6: Hypothesis Testing; Hypothesis Test Components; Hypotheses; Sides or Tails; P-values.…”
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Private equity as an asset class by Fraser-Sampson, Guy

Table of Contents: “…Private Equity Returns -- The Basics; Understanding the J-curve and Compound Returns; Upper Quartile Figures; Median Returns; Average Returns; Pooled Returns; Using Vintage Year Returns for Benchmarking Purposes; Time-weighted Returns; Summary; 4 Private Equity Returns -- Multiples and Muddles; Multiples; Distributed over paid in (DPI); Paid in to committed capital (PICC); Residual value to paid in (RVPI); Total value to paid in (TVPI); Use of multiples in industry research; Muddles, Muggles and Markowitz; Returns; Risk; Liquidity; Summary; 5 Buyout.…”
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Ubiquitous Heat Kernel. by Jorgenson, Jay

Table of Contents: “…Contents -- Preface -- Positivity of zeta distributions and small unitary representations -- The heat equation and representations of the Jacobi group -- Kato's inequality and asymptotic spectral properties for discrete magnetic Laplacians -- The heat kernel in low-dimensional quantum theories -- Heat kernels on weighted manifolds and applications -- 1. Introduction -- 2. …”
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Proceedings of ELM-2014 Volume 2 Applications

Table of Contents: “…Using Extreme Learning Machine for Filamentous Bulking Prediction and Forecast in Wastewater Treatment Plants -- Extreme Learning Machine for Linear Dynamical Systems Classification: Application to Human Activity Recognition -- Lens Distortion Correction Using ELM -- Pedestrian Detection in Thermal Infrared Image using Extreme Learning Machine -- Dynamic Texture Video Classification Using Extreme Learning Machine -- Uncertain XML Documents Classification Using Extreme Learning Machine -- Encrypted traffic identification based on randomness sparse feature and extreme learning machine -- Network Intrusion Detection Based on Extreme Learning Machine -- A Study on Three-dimensional Motion History Image and Extreme Learning Machine Oriented Body Movements Trajectory Recognition -- An Improved ELM Algorithm for the Measurement of Hot Metal Temperature in Blast Furnace -- Wi-Fi and Motion Sensors based Indoor Localization Combining ELM and Particle Filter -- Online Sequential Extreme Learning Machine for Watermarking -- Adaptive neural control of quadrotor helicopter with extreme learning machine -- Keyword Search on Probabilistic XML Data based on ELM -- A Novel HVS Based Gray Scale Image Watermarking Scheme Using Fast Fuzzy - ELM Hybrid Architecture -- Wearable EyeGlass based Fall Detection using Weighted ELM -- Concise Feature Extraction based ELM for Active Service Quality Prediction -- Multi-class AdaBoost ELM and Its Application in LBP Based Face Recognition -- Detecting Copy Directions among Programs Using Extreme Learning Machines -- Extreme learning machine for reservoir parameter estimation in heterogeneous reservoir -- Multifault Diagnosis for Rolling Element Bearings Based on Extreme Learning Machine -- Gradient-based No-Reference Image Blur Assessment Using Extreme Learning Machine -- RFID Enabled Indoor Positioning for Real-time Manufacturing Execution System based on OS-ELM -- An Online Sequential Extreme Learning Machine for Tidal Prediction based on Improved Gath-Geva Fuzzy Segmentation -- Recognition of Human Stair Ascent and Descent Activities based on Extreme Learning Machine -- ELM Based Dynamic Modeling for Online Prediction of Content in Molten Iron -- Distributed Learning over Massive XML Documents in ELM Feature Space -- Hyperspectral Image Nonlinear Unmixing by Ensemble ELM Regression -- Text-Image Separation and Indexing in Historic Patent Document Image Based on Extreme Learning Machine -- Anomaly Detection with ELM-based Visual Attribute and Spatio-temporal Pyramid -- Modelling and Prediction of Surface Roughness and Power Consumption using Parallel Extreme Learning Machine based Particle Swarm Optimization -- OS-ELM based Emotion Recognition for Empathetic Elderly Companion -- Access Behavior Prediction in Distributed StorageSystem using Regularized Extreme Learning Machine -- ELM Based Fast CFD Model with Sensor Adjustment -- Melasma Image Segmentation Using Extreme Learning Machine -- Detection of Drivers' Distraction Using Semi-Supervised Extreme Learning Machine -- Driver Workload Detection in On-road Driving Environment using Machine Learning.…”
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Advances in hyperspectral image processing techniques

Table of Contents: “…Della-Porta and Chein-I Chang -- PART IV FUSION FOR HYPERSPECTRAL IMAGING 279 -- 10 Hyperspectral and LiDAR Data Fusion 281 -- Qian Du, Wei Li, and Chiru Ge -- 11 Hyperspectral Data Fusion Using Multidimensional Information 293 -- Lifu Zhang, Xia Zhang, Mingyuan Peng, Xuejian Sun, and Xiaoyang Zhao -- 12 Fusion of Band Selection Methods for Hyperspectral Imaging 341 -- Yulei Wang, Lin Wang, and Chein-I Chang -- PART V HYPERSPECTRAL DATA UNMIXING 363 -- 13 Model-Inspired Deep Neural Networks for Hyperspectral Unmixing 365 -- Yuntao Qian, Fengchao Xiong, Minchao Ye, and Jun Zhou -- 14 Analytical Fully Constrained Least Squares Linear Spectral Mixture Analysis 404 -- Chein-I Chang and Hsiao-Chi Li -- 15 Swarm Intelligence Optimization-Based Spectral Unmixing 422 -- Lianru Gao, Xu Sun, Zhu Han, Lina Zhuang, Wenfei Luo, and Bing Zhang -- 16 Spectral-Spatial Robust Nonnegative Matrix Factorization for Hyperspectral Unmixing 453 -- Risheng Huang, Xiaorun Li, and Liaoying Zhao -- PART VI HYPERSPECTRAL IMAGE CLASSIFICATION 483 -- 17 Sparse Representation-Based Hyperspectral Image Classification 485 -- Haoyang Yu, Jun Li, Wei Li, and Bing Zhang -- 18 Collaborative Classification Based on Hyperspectral Images 506 -- Junping Zhang, Xiaochen Lu, and Tong Li -- 19 Class Feature-Weighted Hyperspectral Image Classification 543 -- Shengwei Zhong, Jiaojiao Li, Xiaodi Shang, Shuhan Chen, and Chein-I Chang -- 20 Target Detection Approaches to Hyperspectral Image Classification 565 -- Chein-I Chang, Bai Xue, and Chunyan Yu -- INDEX 586.…”
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Hoist & Haul 2010 : Proceedings of the International Conference on Hoisting and Haulage

Table of Contents: “…Stebbins -- Optimizing the balance rope weight -- a method to increase the practical hoisting distance for single conveyance friction hoists / Tim Gartner, Borje Johansson, Sigurd Grimestad -- Radial pressure damage analysis of wire ropes operating on multi-layer drum winders / Gerhard Rebel, Roland Verreet.…”
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Pathology of the Placenta A Practical Guide

Table of Contents: “…Gross examination -- Chapter 5. Placental Weight, Shape, and Gross Vascular Morphology -- Section 3. …”
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Using Excel for business and financial modelling : a practical guide by Fairhurst, Danielle Stein

Table of Contents: “…Linking to External Files Building Error Checks Circular References Summary Chapter 5: Using Excel in Financial Modelling Formulas and Functions in Excel Excel Versions Handy Excel Shortcuts Cell Referencing Best Practices Named Ranges Basic Excel Functions Logical Functions Nesting Logical Functions Summary Chapter 6: Functions for Financial Modelling Aggregation Functions LOOKUP Functions Nesting Index and Matching OFFSET Function Regression Analysis Choose Function Working with Dates Financial Project Evaluation Functions Loan Calculations Summary Chapter 7: Tools for Model Display Basic Formatting Custom Formatting Conditional Formatting Sparklines Bulletproofing Your Model Customising the Display Settings Form Controls Summary Chapter 8: Tools for Financial Modelling Hiding Sections of a Model Array Formulas Goal Seeking Structured Reference Tables PivotTables Macros Summary Chapter 9: Common Uses of Tools in Financial Modelling Escalation Methods for Modelling Understanding Nominal and Effective (Real) Rates Calculating a Cumulative Sum (Running Totals) How to Calculate a Payback Period Weighted Average Cost of Capital (WACC) Building a Tiering Table Modelling Depreciation Methods Break-Even Analysis Summary Chapter 10: Model Review Rebuilding an Inherited Model Improving Model Performance Auditing a Financial Model Summary Appendix: QA Log Chapter 11: Stress Testing, Scenarios, and Sensitivity Analysis in Financial Modelling What are the Differences Between Scenario, Sensitivity, and What-If Analyses? …”
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Photoshop CC : top 100 simplified tips & tricks by Sholik, Stan

Table of Contents: “…RETOUCH PORTRAITS nondestructivelyVISUALLY ADJUST THE TONE CURVE with the Targeted Adjustment tool; IMPROVE A SKY with the Graduated Filter; Brush on LOCAL ADJUSTMENTS; APPLY ADJUSTMENTS to multiple photos; Quiet a NOISY PHOTO; EXPORT IMAGES to Photoshop; Chapter 4: Fix Common Problems; REMOVE SPOTS AND SKIN BLEMISHES two ways; RETOUCH WRINKLES with the Healing Brush and Patch Tools; SLIM A PORTRAIT by removing the weight the camera adds; REMOVE REFLECTIONS in eyeglasses; LIGHTEN A SUBJECT in deep shadow; Make a PERFECT GROUP SHOT; REMOVE UNWANTED OBJECTS in photos…”
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Dynamic Behavior of Materials, Volume 1 Proceedings of the 2016 Annual Conference on Experimental and Applied Mechanics

Table of Contents: “…1 Atomistic Simulation of a Two-Dimensional Polymer Tougher Than Graphene -- 2 Transverse Compression Response of Ultra-high Molecular Weight Polyethylene Single Fibers -- 3 Morphology and Mechanics of the Young Minipig Cranium -- 4 Dynamic Characterization of Nitronic 30, 40 and 50 Series Stainless Steels by Numerical Analysis -- 5 Mechanical Response of T800/F3900 Composite at Various Strain Rates -- 6 Full-Field Temperature and Strain Measurement in Dynamic Tension Tests on SS 304 -- 7 Dynamic Fracture Response of a Synthetic Cortical Bone Simulant -- 8 Fracture Response of Cross-Linked Epoxy Resins at High Loading Rate as a Function of Glass Transition Temperature -- 9 Measurement of Dynamic Response Parameters of an Underdamped System -- 10 Dynamic Penetration and Bifurcation of a Crack at an Interface in a Transparent Bi-Layer: Effect of Impact Velocity -- 11 Influence of Loading Rate Effects Fracture Strength of Individual Sand Particles -- 11 Arrested Compression Tests on two Types of Sand -- 12 Composite Plate Response to Shock Wave Loading -- 13 Initial Experimental Validation of an Eulerian Method for Modeling Composites -- 14 Characterization of High Strain Rate Dependency of 3D CFRP materials -- 15 High-strain Rate Compressive Behavior of a Clay under Uniaxial Strain State -- 16 Mesoscopic Modelling of High Performance Fiber Reinforced Concrete under Dynamic Loading -- 17 Comparison of Failure Mechanisms due to Shock Propagation in Forged, Layered, and Additive Manufactured Titanium Alloy -- 18 Instrumented Penetration of Metal Alloys during High-Velocity Impacts -- 19 Confined Underwater Implosions using 3D Digital Image Correlation -- 20 Response of Composite Cylinders Subjected to Near Field Underwater Explosions._ 21 Microstructural Effects on the Spall Properties of Al 5083: Equal-Channel Angular Extrusion (ECAE) plus Cold Rolling -- 23 Experimental Study of the Dynamic Fragmentation in Transparent Ceramic Subjected to Projectile Impact -- 24 Instrumented Projector for Dynamic Testing -- 25 NIST Mini-Kolsky Bar: Historical Review -- 26 A General Approach to Evaluate the Dynamic Fracture Toughness of Materials -- 27 Which one has More Influence on Fracture Strength of Ceramics: Pressure or Strain Rate? …”
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Joomla! 1.5 Multimedia. by Walker, Allan

Table of Contents: “…; Template CSS; CSS font properties; Font family; Font size; Meet the units; Setting the text size using em; Setting the text size using percent; Setting the text size using pixels; Setting the text size using points; Font style; Font weight; Alternative methods to use custom fonts in your web pages; Joomla! …”
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Ensemble Machine Learning Cookbook : Over 35 Practical Recipes to Explore Ensemble Machine Learning Techniques Using Python. by Sarkar, Dipayan

Table of Contents: “…. ; How it works ... ; Weighted averaging; Getting ready; How to do it ... ; How it works ... ; See also; Chapter 3: Resampling Methods; Introduction to sampling; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; k-fold and leave-one-out cross-validation; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Bootstrapping; Getting ready; How to do it ... ; How it works ... ; See also; Chapter 4: Statistical and Machine Learning Algorithms; Technical requirements…”
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Engineering plastics handbook

Table of Contents: “…Reinforced poly(phenylene sulfide) -- Edmonds and hill discovery -- Campbell process for high-molecular- weight pps -- Pps polymerization mechanism -- Postpolymerization treatments -- Applications of reinforced pps compounds -- Design considerations -- Reinforced pps injection-molding compounds -- Reinforced blends of pps with other polymers -- Thermal stability -- Dimensional stability -- Chemical resistance -- Nonflammability -- Injection molding -- Compression molding -- Composites -- Other fabrication processes -- Machining -- Postmold assembly methods -- References.…”
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Engineering plastics handbook

Table of Contents: “…Reinforced poly(phenylene sulfide) -- Edmonds and hill discovery -- Campbell process for high-molecular- weight pps -- Pps polymerization mechanism -- Postpolymerization treatments -- Applications of reinforced pps compounds -- Design considerations -- Reinforced pps injection-molding compounds -- Reinforced blends of pps with other polymers -- Thermal stability -- Dimensional stability -- Chemical resistance -- Nonflammability -- Injection molding -- Compression molding -- Composites -- Other fabrication processes -- Machining -- Postmold assembly methods -- References.…”
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F♯ for Machine Learning Essentials. by Mukherjee, Sudipta

Table of Contents: “…Finding linear regression coefficients using F#Finding the linear regression coefficients using Math.NET; Putting it together with Math.NET and FsPlot; Multiple linear regression; Multiple linear regression and variations using Math.NET; Weighted linear regression; Plotting the result of multiple linear regression; Ridge regression; Multivariate multiple linear regression; Feature scaling; Summary; Chapter 3: Classification Techniques; Objective; Different classification algorithms you will learn; Some interesting things you can do; Binary classification using k-NN; How does it work?…”
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Prospects of differential geometry and its related fields - proceedings of the 3rd international colloquium on differential geometry and its related fields. by Adachi, Toshiaki

Table of Contents: “…Codes correcting errors of Mannheim weight ≥ 2; Bibliography; A survey on generalized Liouville manifolds Midori GOTO; 1. …”
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Tracking with particle filter for high-dimensional observation and state spaces by Dubuisson, Séverine

Table of Contents: “…Ranked partitioned sampling; 4.3. Weighted partitioning with permutation of sub-particles; 4.3.1. …”
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Academia and the World Beyond, Volume 2 A PhD Is Not a Commitment to Academia

Table of Contents: “…-- It’s healthy to evaluate your situation and it might lead to staying where you are or finding new challenges -- My work-life balance has clearly separated boundaries -- The process of doing a PhD isn’t about the outcome of the research or getting the qualification - it’s about developing yourself -- I love helping people communicate their ideas and maximize the impact of their work -- Working in academia was great but I missed the work-life balance -- A PhD is a substantial training opportunity, not just a sprint to the finish -- My PhD shaped the way I think and solve problems -- Leaving academia doesn’t permanently close doors -- Looking back now, I wish I’d been more honest with myself at the time and looked at alternative careers -- At NIH, there are many tasks and operations that need to be done or grants would not be reviewed and funded -- I am more passionate about supporting researchers than with any research I did during my PhD -- Look for internship or placement roles in areas that support research -- The idea of a more immediate impact of my work was very appealing -- Find something that is worthwhile to you -- The title of Dr holds significant weight when you enter the world of industry -- Being near family and friends felt more important to me than continuing to pursue an academic career -- In academia, recruiters care about what you’ve done, outside they care about what you would be able to do next -- Having a PhD doesn’t mean you’ll impress people with your education, it means you have to impress them with how you apply it -- People are more often willing to connect and have a conversation than you might think -- Your PhD could serve as the most potent intellectual exercise, fuelling your entire career's journey -- I enjoy reading books before they are published and getting them polished for publication -- One of the big values of a PhD to an industry role is the proven ability to tackle a substantial project largely independently -- I like thinking about the best way to word something so that it is clear and concise -- Having a broad set of responsibilities is energizing because I hardly ever get bored.…”
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