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  • Accurate Segmentation 2 Steam Key
    Accurate Segmentation 2 Steam Key

    Accurate Segmentation 2 - is the second part of an interesting physical puzzle. Your task is to make the green cube touch 2 seconds of the lilac platform. To do this, you need to make geometric shapes into smaller parts. The difficulty is that you are given only 20 points of action and for each segmentation or removal of the figure one point is wasted, after which you will lose. You also need to make sure that the green cube does not fall down. For each level there are a huge number of tactic...

    Price: 90.41 € | Shipping*: 0.00 €
  • Accurate Segmentation 2 Steam Key
    Accurate Segmentation 2 Steam Key

    Accurate Segmentation 2 - is the second part of an interesting physical puzzle. Your task is to make the green cube touch 2 seconds of the lilac platform. To do this, you need to make geometric shapes into smaller parts. The difficulty is that you are given only 20 points of action and for each segmentation or removal of the figure one point is wasted, after which you will lose. You also need to make sure that the green cube does not fall down. For each level there are a huge number of tactic...

    Price: 78.26 € | Shipping*: 0.00 GBP €
  • Bioinformatics Data Skills : Reproducible and Robust Research with Open Source Tools
    Bioinformatics Data Skills : Reproducible and Robust Research with Open Source Tools

    Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings.With this practical guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological data sets.At no other point in human history has our ability to understand life's complexities been so dependent on our skills to work with and analyze data.This intermediate-level book teaches the general computational and data skills you need to analyze biological data.If you have experience with a scripting language like Python, you're ready to get started.Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles

    Price: 43.99 £ | Shipping*: 0.00 £
  • Big Data for the Public Good : Regulating Access to Public Sector Big Data for Research and Innovation
    Big Data for the Public Good : Regulating Access to Public Sector Big Data for Research and Innovation

    Can researchers and innovators use UK public sector data to produce knowledge that improves policy making, scrutinises government work and promotes the public interest?This book looks at interactions between UK public sector officials and researchers/innovators to shed light on barriers to data access and use.It asks: what are the frameworks that govern access to public sector big datasets for researchers and innovators?How are these frameworks applied in practice? What are the governance solutions for policy makers interested in harnessing the untapped potential of public sector big data to improve their policies and create public benefit?Public sector data is a valuable resource that can help researchers and innovators create knowledge and solutions that benefit society.As public bodies collect increasingly more data about us, UK policy makers try to maximise the use of public sector big data for the benefit of the public.But accessing this data is not easy. There are many legal, technical, and ethical barriers that prevent the use of public sector data for research and innovation.This book is for researchers and innovators who want to understand and overcome the barriers to accessing UK public sector data.It is also for policy makers who are interested in how public sector data can be used to improve decision-making, scrutinise government work, and promote the public interest.

    Price: 90.00 £ | Shipping*: 0.00 £
  • What is market segmentation?

    Market segmentation is the process of dividing a broad target market into smaller, more defined segments based on certain characteristics such as demographics, psychographics, behavior, or geographic location. This allows businesses to tailor their products, services, and marketing strategies to better meet the specific needs and preferences of each segment. By understanding the unique characteristics and preferences of different segments, businesses can more effectively reach and engage with their target customers.

  • What is the difference between fragmentation and segmentation?

    Fragmentation refers to the process of breaking a file or data into smaller pieces to fit into the available storage space. This can lead to scattered pieces of data across the storage medium, which can slow down access times. On the other hand, segmentation is the process of dividing the memory into segments to store different parts of a program or data. Segmentation allows for more efficient memory management and can help prevent fragmentation. In summary, fragmentation deals with the physical storage of data, while segmentation deals with the logical organization of memory.

  • What is the purpose of market segmentation strategy?

    The purpose of market segmentation strategy is to divide a broad target market into smaller, more manageable segments based on similar characteristics, needs, or behaviors. This allows businesses to better understand and cater to the specific needs and preferences of different customer groups, leading to more effective marketing and product development. By tailoring their offerings to specific segments, businesses can increase customer satisfaction, loyalty, and ultimately, profitability. Additionally, market segmentation helps businesses identify new opportunities for growth and expansion within different market segments.

  • What is the difference between market segmentation and strategic business unit?

    Market segmentation is the process of dividing a market into distinct groups of buyers who have different needs, characteristics, or behaviors. This allows businesses to tailor their marketing efforts and products to specific segments, increasing their effectiveness. On the other hand, a strategic business unit (SBU) is a distinct business or product line within a larger company that has its own set of competitors and a specific target market. SBUs are often managed separately from the rest of the company and have their own strategic objectives and business plans. In summary, market segmentation is about dividing the overall market into smaller, more manageable segments, while an SBU is a distinct business entity within a larger organization.

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  • Auto-Segmentation for Radiation Oncology : State of the Art
    Auto-Segmentation for Radiation Oncology : State of the Art

    This book provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for auto-delineation of organs-of-risk for thoracic radiation treatment planning.Containing the latest, cutting edge technologies and treatments, it explores deep-learning methods, multi-atlas-based methods, and model-based methods that are currently being developed for clinical radiation oncology applications.Each chapter focuses on a specific aspect of algorithm choices and discusses the impact of the different algorithm modules to the algorithm performance as well as the implementation issues for clinical use (including data curation challenges and auto-contour evaluations).This book is an ideal guide for radiation oncology centers looking to learn more about potential auto-segmentation tools for their clinic in addition to medical physicists commissioning auto-segmentation for clinical use.Features: Up-to-date with the latest technologies in the field Edited by leading authorities in the area, with chapter contributions from subject area specialists All approaches presented in this book are validated using a standard benchmark dataset established by the Thoracic Auto-segmentation Challenge held as an event of the 2017 Annual Meeting of American Association of Physicists in Medicine

    Price: 45.99 £ | Shipping*: 0.00 £
  • Brain Tumor MRI Image Segmentation Using Deep Learning Techniques
    Brain Tumor MRI Image Segmentation Using Deep Learning Techniques

    Brain Tumor MRI Image Segmentation Using Deep Learning Techniques offers a description of deep learning approaches used for the segmentation of brain tumors.The book demonstrates core concepts of deep learning algorithms by using diagrams, data tables and examples to illustrate brain tumor segmentation.After introducing basic concepts of deep learning-based brain tumor segmentation, sections cover techniques for modeling, segmentation and properties.A focus is placed on the application of different types of convolutional neural networks, like single path, multi path, fully convolutional network, cascade convolutional neural networks, Long Short-Term Memory - Recurrent Neural Network and Gated Recurrent Units, and more. The book also highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in brain tumor segmentation.

    Price: 138.00 £ | Shipping*: 0.00 £
  • Automatic Dough Dividing Machine Commercial Pizza Bread bBll Segmentation
    Automatic Dough Dividing Machine Commercial Pizza Bread bBll Segmentation

    Automatic Dough Dividing Machine Commercial Pizza Bread bBll Segmentation

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  • Automatic Multi Specification Stainless Steel Dough Segmentation Electromechanical Pneumatic Dough
    Automatic Multi Specification Stainless Steel Dough Segmentation Electromechanical Pneumatic Dough

    Automatic Multi Specification Stainless Steel Dough Segmentation Electromechanical Pneumatic Dough

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  • What should one do when a Segmentation fault (core dumped) error occurs in Python?

    When a Segmentation fault (core dumped) error occurs in Python, it usually indicates a serious issue with the program, such as accessing memory that is not allocated or trying to perform an operation that is not allowed. To address this error, one should carefully review the code for any potential memory-related issues, such as accessing out-of-bounds memory or using uninitialized variables. Additionally, running the program with a debugger can help pinpoint the exact location of the error and provide more information on what is causing it. Finally, updating Python and any relevant libraries to the latest versions may also help resolve the issue.

  • Is Dewiki a scholarly source for the seminar paper?

    No, Dewiki is not a scholarly source for the seminar paper. Dewiki is the German-language version of Wikipedia, which is a collaborative online encyclopedia that can be edited by anyone. While Wikipedia can be a useful starting point for research, it is not considered a scholarly source because the information is not always verified or written by experts in the field. It is important to use scholarly sources such as academic journals, books, and reputable websites for a seminar paper to ensure the accuracy and reliability of the information.

  • Why do I get a Segmentation Fault Error when running the program with an additional argument?

    A Segmentation Fault Error occurs when a program tries to access a memory location that it is not allowed to access. This can happen when an additional argument is passed to the program that is not properly handled or expected by the code. The program may try to access memory beyond its allocated space, leading to the Segmentation Fault Error. To resolve this issue, ensure that the program is properly designed to handle additional arguments or input.

  • Does market research hinder innovation in business administration?

    Market research does not necessarily hinder innovation in business administration. In fact, it can provide valuable insights into consumer needs and preferences, helping businesses to develop innovative products and services that meet market demands. By understanding market trends and customer behavior, businesses can identify opportunities for innovation and stay ahead of competitors. However, relying too heavily on market research without allowing room for creativity and risk-taking can limit the potential for groundbreaking innovations. It is important for businesses to strike a balance between leveraging market research and fostering a culture of innovation to drive success in business administration.

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