Search Results - Optimates and populares

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    Iterative Learning Control An Optimization Paradigm / by Owens, David H.

    Published 2016
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    Progress in Advanced Computing and Intelligent Engineering Proceedings of ICACIE 2017, Volume 2 /

    Published 2019
    Table of Contents: “…Secured Cloud-based Federation for EHR using Multi-Authority ABE -- A Brief Study on Build Failures in Continuous Integration: Causation and Effect -- Web Services Regression Testing through Automated Approach -- Challenges to Cloud PLM Adoption -- Evaluation of Neuropsychological Tests in Classification of Alzheimer's Disease -- Brain Tumor Classification for MR Imaging Using Support Vector Machine -- Intelligent Mobile Agent Framework for Searching popular e-Advertisements -- Medicinal Plant Information Extraction System: A Text Mining Based Approach -- Population Dynamics Indicators for Evolutionary Many-Objective Optimization -- Order Reduction of Discrete System Models Employing Mixed Conventional Techniques and Evolutionary Techniques -- MCC and Big Data Integration for Various Technological Frameworks -- Mobility Predication for Dynamic Location Area in Cellular Network Using Super Vector Regression -- Improved SLReduct Framework for Stress Detection using Mobile Phone Sensing -- A Non-autonomous Ecological Model with Some Applications -- On the Category of Quantale Semimodules.…”
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    Evolutionary and Swarm Intelligence Algorithms

    Published 2019
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    Dependability Engineering and Complex Systems Proceedings of the Eleventh International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 27-July 1, 2016, Brunó...

    Published 2016
    Table of Contents: “…-Architecture for Internet of Things Analytical Ecosystem -- Optimal Path Evolution in a Dynamic Distributed MEMS-based Conveyor -- The Issue of Analyzing Measurement Data of Driving Speed in Large Urban Areas -- Implication of Availability of an Electrical System of a Wind Farm for the Farm's Output Power Estimation -- CPU Utilization Analysis of Selected Genetic Algorithms in Multi-Core Systems for a Certain Class Of Problems -- Monitoring Reliability of Embedded Systems -- Implementation Efficiency of BLAKE and Other Contemporary Hash Algorithms in Popular FPGA Devices -- Risk Analysis of Interference Railway GSM-R System in Polish Conditions -- Water Producers Risk Analysis Connected with Collective Water Supply System Functioning -- Analysis of Reshuffling Cost at a Container Terminal -- Scheduling in Grid Based on VO Stakeholders Preferences and Criteria -- Vulnerability of Passenger Transportation System - the Main Information Provided by Key Stakeholders. …”
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    Historic Mortars Advances in Research and Practical Conservation /

    Published 2019
    Table of Contents: “…Niedoba -- Compatibility assessment for repair mortars: an optimized cement-based mix for Tuffeau de Lincent, by A. …”
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    Fundamentals of Spherical Array Processing by Rafaely, Boaz

    Published 2019
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    Information and Decision Sciences Proceedings of the 6th International Conference on FICTA /

    Published 2018
    Table of Contents: “…An OpenMP based algorithmic optimization for Congestion Control of Network Traffic -- 7. …”
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    Computational Intelligence in Sensor Networks

    Published 2019
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    Proceedings of the International Conference on Data Engineering and Communication Technology ICDECT 2016, Volume 2 /

    Published 2017
    Table of Contents: “…Analysis of a Sporting Event on a Social Network: True Popularity & Popularity Bond -- Chapter 27. Performance Analysis of LPC and MFCC Features in Voice Conversion using Artificial Neural Networks -- Chapter 28. …”
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    Deep Learning with TensorFlow and Keras - 3rd Edition : Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models. by Kapoor, Amita

    Published 2022
    Table of Contents: “…-- A real example: recognizing handwritten digits -- One hot-encoding (OHE) -- Defining a simple neural net in TensorFlow -- Running a simple TensorFlow net and establishing a baseline -- Improving the simple net in TensorFlow with hidden layers -- Further improving the simple net in TensorFlow with dropout -- Testing different optimizers in TensorFlow -- Increasing the number of epochs -- Controlling the optimizer learning rate -- Increasing the number of internal hidden neurons -- Increasing the size of batch computation -- Summarizing experiments run to recognizing handwritten digits -- Regularization -- Adopting regularization to avoid overfitting -- Understanding batch normalization -- Playing with Google Colab: CPUs, GPUs, and TPUs -- Sentiment analysis -- Hyperparameter tuning and AutoML -- Predicting output -- A practical overview of backpropagation -- What have we learned so far? …”
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