Search Results - (((((((kent OR santis) OR mantis) OR carter) OR cantor) OR anne) OR start) OR martin) algorithms.

Acoustical imaging : techniques and applications for engineers by Gan, Woon Siong

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Listed Volatility and Variance Derivatives : a Python-based Guide. by Hilpisch, Yves

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Cloud data centers and cost modeling : a complete guide to planning, designing and building a cloud data center by Wu, Caesar, Buyya, Rajkumar

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Penetration testing : a hands-on introduction to hacking by Weidman, Georgia

Table of Contents: “…Using The Metasploit Framework / Peter Van Eeckhoutte -- Starting Metasploit / Peter Van Eeckhoutte -- Finding Metasploit Modules / Peter Van Eeckhoutte.…”
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Visual Inspection Technology in the Hard Disc Drive Industry. by Muneesawang, Paisarn

Table of Contents: “…Introduction / Suchart Yammen / Paisarn Muneesawang -- 1.2. Algorithm for corrosion detection / Suchart Yammen / Paisarn Muneesawang -- 1.2.1. …”
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Analyzing neural time series data : theory and practice by Cohen, Mike X., 1979-

Table of Contents: “…Interpolating Bad Electrodes -- 7.10. Start with Clean Data -- 8. EEG Artifacts: Their Detection, Influence, and Removal -- 8.1. …”
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Public safety networks from LTE to 5G by Yarali, Abdulrahman

Table of Contents: “…85 -- 5.3.1 Multi-Path Approach and the Convergence of Mission-Critical Communication 85 -- 5.3.2 Technical Aspects of LTE 86 -- 5.4 Is It Better to Wait for 5G Before Starting Public Safety Implementations? 87 -- 5.5 Will 5G Offer a Better Service than 4G for Public Safety? …”
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Engineering autonomous vehicles and robots : the DragonFly modular-based approach by Liu, Shaoshan

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Sigma-Delta Converters. by De la Rosa, José M.

Table of Contents: “…6.3.1 Hardware Emulation of CT-Ms on an FPGA 257 -- 6.3.2 GPU-accelerated Computing of CT-Ms 258 -- 6.4 Using Multi-objective Evolutionary Algorithms to Optimize Ms 259 -- 6.4.1 Combining MOEA with SIMSIDES 261 -- 6.4.2 Applying MOEA and SIMSIDES to the Synthesis of CT-Ms 262 -- 6.5 Summary 269 -- References 269 -- 7 Electrical Design of ??…”
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Fundamentals of Fluid Power Control. by Watton, John

Table of Contents: “…Control-Volume Flow Continuity -- PRV Flow -- Force Balance at the Spindle -- 5.13.3 Frequency Response from a Linearized Transfer Function Analysis -- 5.14 Servovalve Dynamics -- First-Stage, Armature, and Flapper-Nozzle -- Flapper-Nozzle and Resistance Bridge Flow Characteristic -- Force Balance at the Spool -- 5.15 An Open-Loop Servovalve-Motor Drive with Line Dynamics Modeled by Lumped Approximations -- Servovalve, Dynamics Included, Underlapped Spool -- Lines, Laminar Mean Flow, Two Lump Approximations per Line, Negligible Motor Internal Volume -- Motor Flow and Torque Equations -- 5.16 Transmission Line Dynamics -- 5.16.1 Introduction -- Servovalve-Cylinder with Short Lines and Significant Actuator Volumes -- Servovalve-Motor with Long Lines and Negligible Actuator Volumes -- 5.16.2 Lossless Line Model for Z and Y -- 5.16.3 Average and Distributed Line Friction Models for Z and Y -- 5.16.4 Frequency-Domain Analysis -- 5.16.5 Servovalve-Reflected Linearized Coefficients -- 5.16.6 Modeling Systems with Nonlossless Transmission Lines, the Modal Analysis Method -- 5.16.7 Modal Analysis Applied to a Servovalve-Motor Open-Loop Drive -- 5.17 The State-Space Method for Linear Systems Modeling -- 5.17.1 Modeling Principles -- 5.17.2 Some Further Aspects of the Time-Domain Solution -- 5.17.3 The Transfer Function Concept in State Space -- 5.18 Data-Based Dynamic Modeling -- 5.18.1 Introduction -- 5.18.2 Time-Series Modeling -- 5.18.3 The Group Method of Data Handling (GMDH) Algorithm -- 5.18.4 Artificial Neural Networks -- 5.18.5 A Comparison of Time-Series, GMDH, and ANN Modeling of a Second-Order Dynamic System -- 5.18.6 Time-Series Modeling of a Position Control System -- 5.18.7 Time-Series Modeling for Fault Diagnosis -- 5.18.8 Time-Series Modeling of a Proportional PRV -- 5.18.9 GMDH Modeling of a Nitrogen-Filled Accumulator.…”
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XML for DB2 information integration

Table of Contents: “…-- 3.4 Creating an XML schema from a database schema -- 3.4.1 The algorithm.…”
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Machine Learning for Risk Calculations : A Practitioner's View. by Ruiz, Ignacio

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Hidden Markov processes : theory and applications to biology by Vidyasagar, M. (Mathukumalli), 1947-

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A First Course in Multivariate Statistics by Flury, Bernard

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Practical applications of Bayesian reliability by Liu, Yan, Abeyratne, Athula I.

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Mastering JBoss Drools 6 : discover the power of Drools 6 and Business Rules for developing complex scenarios in your applications by Aliverti, Esteban

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Power system monitoring and control by Bevrani, Hassan

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The crisis of crowding : quant copycats, ugly models, and the new crash normal by Chincarini, Ludwig B.

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