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Sequencing & Scheduling with Inaccurate Data

In many real-world applications, the problems with the data used for scheduling such as processing times, set-up times, release dates or;

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Principles of Sequencing and Scheduling

, methods, and results of scheduling theory and its core topics. With real-world examples and up-to-date modeling techniques, the book equips;

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Principles of Sequencing and Scheduling

coverage on safe scheduling, lognormal modeling, and job selection Provides basic coverage of robust scheduling as contrasted with safe scheduling;

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Tag-based Next Generation Sequencing

give an overview on recently developed tag-based approaches along with means of their data analysis together with introductions to Next;

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Next Generation Sequencing and Data Analysis

applications. The reader learns how to perform Next Generation Sequencing data analysis, how to interpret and visualize the data, and acquires;

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Algorithms for Next-Generation Sequencing

- as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data;

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Algorithms for Next-Generation Sequencing

- as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data;

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Optimized Cloud Based Scheduling

assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and;

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Optimized Cloud Based Scheduling

assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and;

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Throughput Optimization in Robotic Cells

Throughput Optimization In Robotic Cells provides practitioners, researchers, and students with up-to-date algorithmic results on;

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PP-DS with SAP S/4HANA

. Configuration Learn how to configure embedded PP-DS, step by step. Begin with basic settings for master data and SAP liveCache, and then move on to;

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Data Scheduling and Transmission Strategies in Asymmetric Telecommunication Environments

discusses comparative advantages and disadvantages of push, pull, and hybrid transmission strategies, together with practical consideration and;

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Data Scheduling and Transmission Strategies in Asymmetric Telecommunication Environments

discusses comparative advantages and disadvantages of push, pull, and hybrid transmission strategies, together with practical consideration and;

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Capacity Planning with SAP

and provides readers with an understanding of SAP Capacity Management functionality, including capacity planning, sequencing, leveling, and;

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Clinical Genome Sequencing

of genomic testing, to patient consent, patient responses to sequencing data, common uncertainties, direct-to-consumer genomics, the role of genome;

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Optimized Cloud Resource Management and Scheduling

management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It;

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Next-Generation Sequencing Data Analysis

Sequencing Data Analysis shows how next-generation sequencing (NGS) technologies are applied to transform nearly all aspects of biological research;

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Computational Methods for Next Generation Sequencing Data Analysis

Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range;

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Bioinformatics with Python Cookbook - Second Edition: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge rese

proteomics. You'll learn modern programming techniques to analyze large amounts of biological data. With the help of real-world examples, you'll;

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Next Generation Microarray Bioinformatics

current computational and statistical methods to analyze and interpreting both microarray and NGS data. These methods and techniques include;

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Scheduling

. The second part covers probabilistic scheduling models; in this part it is assumed that processing times and other problem data are random and;

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Next Generation Sequencing

around the world, this book explores the most recent advances in NGS instrumentation and data analysis. The book begins with a comprehensive;

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Metaheuristics for Production Scheduling

computer science. Contents 1. An Estimation of Distribution Algorithm for Solving Flow Shop Scheduling Problems with Sequence-dependent Family;

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Next-Generation Sequencing and Sequence Data Analysis

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Scheduling

it is assumed that processing times and other problem data are random and not known in advance. The third part deals with scheduling;

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Deep Sequencing Data Analysis

deep sequencing data field. Chapters guide readers through techniques for processing RNA-seq data, microbiome analysis, deep learning;

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Supervisory Control and Scheduling of Resource Allocation Systems

Presents strategies with reachability graph analysis for optimizing resource allocation systems Supervisory Control and Scheduling;

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