Search Results - (((((((ant OR kkantis) OR mantis) OR hints) OR cantor) OR anne) OR fine) OR ranting) algorithms.

A comprehensive guide on OpenCL Programming with examples by Banger, Ravishekhar

Table of Contents: “…Setting kernel argumentsExecuting the kernels; Querying kernel objects; Querying kernel argument; Releasing program and kernel objects; Built-in kernels; Summary; Chapter 6: Events and Synchronization; OpenCL events and monitoring of these events; OpenCL event synchronization models; No synchronization needed; Single device in-order usage; Synchronization needed; Single device and out-of-order queue; Multiple devices and different OpenCL contexts; Multiple devices and single OpenCL context; Coarse grained synchronization; Event based or fine grained synchronization.…”
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Frontiers of Artificial Intelligence in Medical Imaging. by Razmjooy, Navid

Table of Contents: “…5.5 Electromagnetic field optimization algorithm -- 5.6 Developed electromagnetic field optimization algorithm -- 5.7 Simulation results -- 5.7.1 Image acquisition -- 5.7.2 Pre-processing stage -- 5.7.3 Processing stage -- 5.7.4 Classification -- 5.8 Final evaluation -- 5.9 Conclusions -- References -- Chapter 6 Evaluation of COVID-19 lesion from CT scan slices: a study using entropy-based thresholding and DRLS segmentation -- 6.1 Introduction -- 6.2 Context -- 6.3 Methodology -- 6.3.1 COVID-19 database -- 6.3.2 Image conversion and pre-processing -- 6.3.3 Image thresholding…”
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The spirit of the hive : the mechanisms of social evolution by Page, Robert E.

Table of Contents: “…Case studies -- 2.4. Adaptive fine tuning of division of labor -- 2.5. From stone soup to mulligan stew -- 2.6. …”
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Mechanical and electrical technology VI : selected, peer reviewed papers from the 2014 6 th International Conference on Mechanical and Electrical Technology (ICMET 2014), July 17-1...

Table of Contents: “…NET3D Calculation on the Depth of Penetration by a Long-Rod Penetrator with Varying ObliquitySimulation on the Life Expectancy of Fine Blanking Punch for Recreation Vehicle Seat Recliner Sector Tooth; Utilization of Tooth Contact Pattern in a Gear Meshing Model for Estimation of Sliding Loss in a Parallel-Axis Gear Pair; Field Investigation on Thermal Performance of the Tile Ventilator; Computer Aided Design of the Die-Set for Sheet Metal Punching and Blanking Dies; A Hybrid Approach for Process Optimization in Taper Cutting Operation Using Wire Electrical Discharge Machining…”
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Creating sounds from scratch;a practical guide to music synthesis for producers and composers by Pejrolo, Ana

Table of Contents: “…Other LFO and EG ApplicationsVoltage-​Controlled Amplifier; Control Voltage; Modifiers: Special Effects; Distortion; Delay-​Based Effects; Echo; Reverberation; Acoustic Reverb: Halls, Studios, Cathedrals/​Churches, Chambers; Mechanical: Plates and Springs; Digital Reverbs: Algorithmic and Convolution; Phaser; Chorus and Flanger; Ring Modulation; Tuning-​Fine vs. …”
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Advanced deep learning with R : become an expert at designing, building, and improving advanced neural network models using R by Rai, Bharatendra K.

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Power and energy systems III : selected, peer reviewed papers from the 2013 3rd International Conference on Power and Energy Systems (ICPES 2013), November 23-24, Bangkok, Thailand

Table of Contents: “…Appropriate Electric Energy Conservation Measures for Big Mosques in Riyadh CityBayesian Algorithm Based on Airborne Power Supply System; Study on the Cooling System of Super-Capacitors for Hybrid Electric Vehicle; A Charging Management of Electric Vehicles Based on Campus Survey Data; Back-EMF Position Detection Technology for Brushless DC Motor; Stress State of Turbine Blade Root and Rim Considering Manufacturing Variations; Analysis on a Gas Turbine Sealing Disk Structure and Material Strength; A Kind of Adjustable Electric Heating Pipe Power Electrode Preparation Equipment.…”
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Mathematical Methods in Interdisciplinary Sciences. by Chakraverty, Snehashish

Table of Contents: “…1.2.2.1 Architecture of Single-Layer LgNN Model -- 1.2.2.2 Training Algorithm of Laguerre Neural Network (LgNN) -- 1.2.2.3 Gradient Computation of LgNN -- 1.3 Methodology for Solving a System of Fredholm Integral Equations of Second Kind -- 1.3.1 Algorithm -- 1.4 Numerical Examples and Discussion -- 1.4.1 Differential Equations and Applications -- 1.4.2 Integral Equations -- 1.5 Conclusion -- References -- Chapter 2 Deep Learning in Population Genetics: Prediction and Explanation of Selection of a Population -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Dataset Description…”
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Blockchain and the Digital Economy : The Socio-Economic Impact of Blockchain Technology. by Steinmetz, Fred

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Biological computation by Lamm, Ehud

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A Primer on Machine Learning Applications in Civil Engineering by Deka, Paresh Chandra

Table of Contents: “…Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgments -- A Primer on Machine Learning Applications in Civil Engineering -- Author -- 1: Introduction -- 1.1 Machine Learning -- 1.2 Learning from Data -- 1.3 Research in Machine Learning: Recent Progress -- 1.4 Artificial Neural Networks -- 1.5 Fuzzy Logic (FL) -- 1.6 Genetic Algorithms -- 1.7 Support Vector Machine (SVM) -- 1.8 Hybrid Approach (HA) -- Bibliography -- 2: Artificial Neural Networks -- 2.1 Introduction to Fundamental Concepts and Terminologies -- 2.2 Evolution of Neural Networks -- 2.3 Models of ANN -- 2.4 McCulloch-Pitts Model -- 2.5 Hebb Network -- 2.6 Summary -- 2.7 Supervised Learning Network -- 2.7.1 Perceptron Network -- 2.7.2 Adaptive Linear Neuron -- 2.7.3 Back-Propagation Network -- 2.7.4 Radial Basis Function Network -- 2.7.5 Generalized Regression Neural Networks -- 2.7.6 Summary -- 2.8 Unsupervised Learning Networks -- 2.8.1 Introduction -- 2.8.2 Kohonen Self-Organizing Feature Maps -- 2.8.3 Counter Propagation Network -- 2.8.4 Adaptive Resonance Theory Network -- 2.8.5 Summary -- 2.9 Special Networks -- 2.9.1 Introduction -- 2.9.2 Gaussian Machine -- 2.9.3 Cauchy Machine -- 2.9.4 Probabilistic Neural Network -- 2.9.5 Cascade Correlation Neural Network -- 2.9.6 Cognitive Network -- 2.9.7 Cellular Neural Network -- 2.9.8 Optical Neural Network -- 2.9.9 Summary -- 2.10 Working Principle of ANN -- 2.10.1 Introduction -- 2.10.2 Types of Activation Function -- 2.10.3 ANN Architecture -- 2.10.4 Learning Process -- 2.10.5 Feed-Forward Back Propagation -- 2.10.6 Strengths of ANN -- 2.10.7 Weaknesses of ANN -- 2.10.8 Working of the Network -- 2.10.9 Summary -- Bibliography -- 3: Fuzzy Logic -- 3.1 Introduction to Classical Sets and Fuzzy Sets -- 3.1.1 Classical Sets -- 3.1.2 Fuzzy Sets -- 3.1.3 Summary.…”
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Microwave and millimeter wave circuits and systems : emerging design, technologies, and applications

Table of Contents: “…1.1.7 MBF Model -- the Memoryless PA Behavioural Model of ChoiceAcknowledgements; References; 2 Artificial Neural Network in Microwave Cavity Filter Tuning; 2.1 Introduction; 2.2 Artificial Neural Networks Filter Tuning; 2.2.1 The Inverse Model of the Filter; 2.2.2 Sequential Method; 2.2.3 Parallel Method; 2.2.4 Discussion on the ANN's Input Data; 2.3 Practical Implementation -- Tuning Experiments; 2.3.1 Sequential Method; 2.3.2 Parallel Method; 2.4 Influence of the Filter Characteristic Domain on Algorithm Efficiency; 2.5 Robots in the Microwave Filter Tuning; 2.6 Conclusions; Acknowledgement…”
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Clinical endocrinology and diagnostic imaging by Brunová, Jana, Bruna, Josef

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Data mining for the social sciences : an introduction by Attewell, Paul A., 1949-, Monaghan, David B., 1988-

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Pediatric incontinence : evaluation and clinical management

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Knowledge mining using intelligent agents

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Deep learning for medical image analysis

Table of Contents: “…5.3 CIMT Protocol5.4 Method; 5.4.1 Convolutional Neural Networks (CNNs); 5.4.2 Frame Selection; 5.4.3 ROI Localization; 5.4.4 Intima-Media Thickness Measurement; 5.5 Experiments; 5.5.1 Pre- and Post-Processing for Frame Selection; 5.5.2 Constrained ROI Localization; 5.5.3 Intima-Media Thickness Measurement; 5.5.4 End-to-End CIMT Measurement; 5.6 Discussion; 5.7 Conclusion; Acknowledgement; References; Notes; 6 Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images; 6.1 Introduction; 6.2 Method; 6.2.1 Coarse Retrieval Model; 6.2.2 Fine Discrimination Model.…”
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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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Digitalization of Society and Socio-Political Issues. 1, Digital, Communication, and Culture

Table of Contents: “…The Digitalization of Cultural Policies in France 149; Anne BELLON 14.1.…”
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Cloud computing and virtualization

Table of Contents: “…8.6 Launch and Migration of Virtual Machines8.7 Trusted VM Launch and Migration Protocol; 8.8 Conclusion; References; Chapter 9: Lightweight Live Migration; 9.1 Introduction; 9.2 VM Checkpointing; 9.3 Enhanced VM Live Migration; 9.4 VM Checkpointing Mechanisms; 9.5 Lightweight Live Migration for Solo VM; 9.6 Lightweight Checkpointing; 9.7 Storage-Adaptive Live Migration; 9.8 Conclusion; References; Chapter 10: Virtual Machine Mobility with Self-Migration; 10.1 Checkpoints and Mobility; 10.2 Manual and Seamless Mobility; 10.3 Fine-and Coarse-Grained Mobility Models; 10.4 Migration Freeze Time.…”
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