• Regeln für den Dokumente-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Allgemeines:

    Nicht erlaubt im Dokumente-Bereich sind:

    - indizierte Titel (inkl. Comics)
    - extremistische Werke, Zeitschriften und Comics (egal, welche Richtung)
    - jegliche Art von Pornographie
    - Anleitungen zu kriminellen Handlungen, gleich welcher Art
    - sadistische, menschenverachtende oder ähnliche Werke

    Nutzt den "Bedanken"-Button, bei Sammelthreads führen jegliche Kommentare, positiv wie negativ, sehr schnell zu einer Unübersichtlichkeit des Threads. Downmeldungen sind an den Uploader zu richten

    Vor dem Einstellen zu beachten:

    - Suchfunktion

    Vergewissert euch, dass es euer Dokument noch nicht im Board gibt, Doppelposts werden kommentarlos gelöscht. Ist es schon vorhanden, tragt es als Mirror im bestehenden Post ein.

    - Threadtitel

    Idealerweise ist sofort zu erkennen um was es sich handelt. Verseht euren Titel mit den relevanten Informationen, das hilft euch und damit auch uns und allen Suchenden erheblich weiter.

    Beispiel: [Thriller] Dan Brown - Inferno oder bei Magazinen:

    Computerbild - 14/2014 (es muss ersichtlich sein, um welche Ausgabe und welches Magazin es sich handelt)

    Folgende Präfixe stehen im Unterforum "Unterhaltung" zur Verfügung:

    [Humor]
    [Drama]
    [Erotik]
    [Fantasy]
    [Krimi]
    [Roman]
    [Thriller]
    [Horror]
    [Science Fiction]

    Inhalt des Beitrags:

    Folgende Pflichtangaben gilt es einzuhalten:

    - Autor
    - Titel
    - Präfix
    - Cover
    - Genre
    - Inhaltsbeschreibung
    - enthaltene Formate
    - Gesamtgröße des Downloads
    - Hoster
    - ggf. Passwort

    Nicht erlaubt sind alle Dateien, die den Download unnötig aufblähen um eine Affiliategrenze zu erreichen, wie zB. mp3-files, übergroße Bilder, etc.

    Ebenso nicht erlaubt sind sämtliche Dateien mit DRM, persönlichen Daten, etc., diese werden kommentarlos zu eurem eigenem Schutz gelöscht.

    Achtet bitte bei der Konvertierung der Formate auf die Lesbarkeit, ein epub, was nur einfach durch Calibre gejagt wird um ein PDF zu erhalten, ist zu 99% eben nicht lesbar. Wenn ihr es nicht könnt, dann lasst es besser oder lest euch ein, wie man es richtig macht.


    Unterforum Comics:

    Threadtitel:

    Ähnlich, wie bei Unterhaltung und Magazinen, sollte der Titel alle relevanten Informationen enthalten, hier bitte

    - den Titel des Comics
    - den Verlag (einige Comics sind in verschiedenen Verlagen erschienen)
    - das Erscheinungsjahr

    Erlaubt sind folgende Formate:

    - CBR
    - CBZ

    Grundsätzlich gilt: jede Version eines Comics erhält einen eigenen Thread, Ersteller eines Comics können ihre Bände gerne mit dem Zusatz (Original-Release) versehen.

    Bei Unsicherheiten zur korrekten Benennung bitte die Informationen von www.comicguide.de nutzen.

    Inhalt des Beitrags:

    Pflichtangaben hier sind:

    - Titel des Bandes und ggf. Nummer
    - Cover
    - falls bekannt technische Daten (DPI, Breite, Speicherqualität)
    - Größe des Downloads
    - Hoster
    - ggf. Passwort
    - falls bekannt Releasenamen
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.


Collection Download Ebooks Best Seller Updated Daily

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Applications and Technologies of Renewable Energy
by Ayman Al-Quraan, Ahmad M. A. Malkawi
English | 2024 | ISBN: 3725827788 | 274 Pages | True PDF | 52 MB

The landscape of renewable energy is evolving rapidly, with significant advancements and applications that promise to transform the global energy sector. This Special Issue aims to provide an in-depth exploration of the applications and technologies driving this transformation. From solar and wind to emerging technologies like green hydrogen, we delve into the innovations shaping the future of energy.
While the advancements in renewable energy are promising, several challenges remain. The integration of these technologies into existing energy systems requires substantial investment and strategic planning. Additionally, the intermittent nature of some renewable sources necessitates advancements in energy storage solutions, such as battery technology. Despite these challenges, the opportunities for innovation and growth in the renewable energy sector are immense, with the potential to significantly reduce global carbon emissions.
This Special Issue, titled "Applications and Technologies of Renewable Energy", highlights the transformative potential of these advancements. As we move towards a more sustainable future, understanding the applications and technologies of renewable energy is crucial. This Special Issue provides a comprehensive overview of current trends, emerging technologies, and the future landscape of renewable energy, offering valuable insights for researchers, policymakers, and industry leaders alike.







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Applications of Big Data and Machine Learning in Galaxy Formation and Evolution
English | 2025 | ISBN: 0367611392 | 402 Pages | PDF EPUB (True) | 98 MB
As investigations into our Universe become more complex, in-depth, and widespread, galaxy surveys are requiring state-of-the-art data scientific methods to analyze them. This book provides a practical introduction to big data in galaxy formation and evolution, introducing the astrophysical basics, before delving into the latest techniques being introduced to astronomy and astrophysics from data science. This book helps translate the cutting-edge methods into accessible guidance for those without a formal background in computer science. It is an ideal manual for astronomers and astrophysicists, in addition to graduate students and postgraduate students in science and engineering looking to learn how to apply data-science to their research.








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Applications of Lie Groups to Differential Equations by Peter J. Olver
English | PDF | 1986 | 524 Pages | ISBN : 0387962506 | 105.9 MB
This book is devoted to explaining a wide range of applications of con tinuous symmetry groups to physically important systems of differential equations. Emphasis is placed on significant applications of group-theoretic methods, organized so that the applied reader can readily learn the basic computational techniques required for genuine physical problems. The first chapter collects together (but does not prove) those aspects of Lie group theory which are of importance to differential equations.

Applications covered in the body of the book include calculation of symmetry groups of differential equations, integration of ordinary differential equations, including special techniques for Euler-Lagrange equations or Hamiltonian systems, differential invariants and construction of equations with pre scribed symmetry groups, group-invariant solutions of partial differential equations, dimensional analysis, and the connections between conservation laws and symmetry groups. Generalizations of the basic symmetry group concept, and applications to conservation laws, integrability conditions, completely integrable systems and soliton equations, and bi-Hamiltonian systems are covered in detail. The exposition is reasonably self-contained, and supplemented by numerous examples of direct physical importance, chosen from classical mechanics, fluid mechanics, elasticity and other applied areas.
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Applied and Computational Mathematics for Digital Environments, 2nd Edition
by Liliya Demidova
English | 2024 | ISBN: 3725822697 | 220 Pages | PDF | 12 MB

The present reprint contains a total of 10 articles accepted and published in the Special Issue "Applied and Computational Mathematics for Digital Environments, 2nd Edition". The topics of interest include, among others, scientific research, applied tasks, and problems in the following areas: 1. Building mathematical, structural, and information models of intelligent computer systems for monitoring and managing the parameters of digital environments;2. Software and mathematical technologies in the implementation of the intelligent monitoring and computer control of digital environments' parameters; 3. The application of mathematical models, Internet of Things technologies, machine learning, and artificial intelligence for big data analysis of digital environments; 4. Mathematical models and algorithms for identifying stable patterns between the parameters of digital environments and their complex and separate influence; 5. Mathematical modeling, machine learning, and their implementation within the concept of "smart" digital environments. I hope that this reprint will be useful to those who are interested in different aspects of applied and computational mathematics for digital environments in solving actual practical problems in all spheres of human life and activity.







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Applied Colloid and Surface Chemistry
by Richard M. Pashley and Marilyn E. Karaman

English | 2021 | ISBN: 1119739128 | 259 pages | True PDF | 76.64 MB

An updated guide to the interaction between solids, liquids, and gases and their application to numerous everyday processes
The revised and updated second edition of Applied Colloid and Surface Chemistry offers a comprehensive introduction to this interdisciplinary field that takes a practical approach and includes information on applications drawn from a wide range of industries. The easy-to-follow text contains new content that focuses on applications such as the prevention of propeller cavitation, industrial explosives, PFAS contamination, and bubble column evaporators.
With contributions from noted experts on the topic, the book contains keynote sections written by practicing industrial research scientists, who highlight real-world industrial examples. These examples range from water treatment through to soil management as well as examples from the coatings and photographic industries. Designed as an accessible resource, the book separates the more demanding mathematical derivations from the main text. The text features approachable, structured chapters, learning objectives, tutorial questions with answers, and explanatory notes. This important book:
Offers a combination of physicochemical background, industrial, and everyday applications and experiments
Underlines the importance of colloidal sciences in science and industry
Presents real-world industrial applications
Includes tried and tested laboratory experiments
Written for students of chemistry, materials science, and engineering, Applied Colloid and Surface Chemistry, Second Edition offers an updated guide to soft matter presenting the bridge between science, with proven laboratory experiments, and real-world industrial applications.








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Applied Computational Mathematics: ICCE 2023, Chennai, India, December 8-9
English | 2025 | ISBN: 3031777638 | 287 Pages | PDF EPUB (True) | 40 MB
Explore the dynamic field of Computational Engineering, where innovative computational techniques-such as computer simulations, mathematical modeling, and numerical analysis-are employed to tackle complex engineering challenges. By integrating principles from engineering, computer science, and applied mathematics, this collection illustrates how virtual prototypes enable engineers to analyze and optimize systems before physical testing, saving valuable time and resources.








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Applied Computing for Software and Smart Systems: Proceedings of ACSS 2024
English | 2025 | ISBN: 9819797616 | 324 Pages | PDF (True) | 16 MB
This book features a collection of high-quality research papers presented at the 11th International Symposium on Applied Computing for Software and Smart systems (ACSS 2024), to be held during September 19-20, 2024, in Kolkata, India. The book presents innovative works by undergraduate, graduate students as well as Ph.D. scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.








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Applied Extreme Value Statistics: With a Special Focus on the ACER Method by Arvid Naess
English | June 14, 2024 | ISBN: 3031607686 | 282 pages | MOBI | 34 Mb
This book does not focus solely on asymptotic extreme value distributions. In addition to the traditional asymptotic methods, it introduces a data-driven, computer-based method, which provides insights into the exact extreme value distribution inherent in the data, and which avoids asymptotics. It therefore differs from currently available texts on extreme value statistics in one very important aspect. The method described provides a unique tool for diagnostics, and for efficient and accurate extreme value prediction based on measured or simulated data. It also has straightforward extensions to multivariate extreme value distributions.

The first half provides an introduction to extreme value statistics with an emphasis on applications. It includes chapters on classical asymptotic theories and threshold exceedance models, with many illustrative examples. The mathematical level is elementary and, to increase readability, detailed mathematical proofs have been avoided in favour of heuristic arguments. The second half presents in some detail specialized topics that illustrate the power and the limitations of the concepts discussed. With diverse applications to science, engineering and finance, the techniques described in this book will be useful to readers from many different backgrounds.







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Applied Statistics and Multivariate Data Analysis for Business and Economics:
A Modern Approach Using R, SPSS, Stata, and Excel

English | 2025 | ISBN: 3031780698 | 852 Pages | PDF EPUB (True) | 143 MB

This comprehensive textbook equips students of economics and business, as well as industry professionals, with essential principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Through real-world business examples, it illustrates the practical use of univariate, bivariate, and multivariate statistical methods.







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Aaron Jones, "Applied Unsupervised Learning with Python: Discover hidden patterns and relationships in unstructured data with Python"
English | 2019 | pages: 482 | ISBN: 1789952298 | EPUB | 22,0 mb
Design clever algorithms that can uncover interesting structures and hidden relationships in unstructured, unlabeled data

Key Features
- Learn how to select the most suitable Python library to solve your problem
- Compare k-Nearest Neighbor (k-NN) and non-parametric methods and decide when to use them
- Delve into the applications of neural networks using real-world datasets
Book Description
Unsupervised learning is a useful and practical solution in situations where labeled data is not available.
Applied Unsupervised Learning with Python guides you on the best practices for using unsupervised learning techniques in tandem with Python libraries and extracting meaningful information from unstructured data. The course begins by explaining how basic clustering works to find similar data points in a set. Once you are well versed with the k-means algorithm and how it operates, you'll learn what dimensionality reduction is and where to apply it. As you progress, you'll learn various neural network techniques and how they can improve your model. While studying the applications of unsupervised learning, you will also understand how to mine topics that are trending on Twitter and Facebook and build a news recommendation engine for users. You will complete the course by challenging yourself through various interesting activities such as performing a Market Basket Analysis and identifying relationships between different merchandises.
By the end of this course, you will have the skills you need to confidently build your own models using Python.
What you will learn
- Understand the basics and importance of clustering
- Build k-means, hierarchical, and DBSCAN clustering algorithms from scratch with built-in packages
- Explore dimensionality reduction and its applications
- Use scikit-learn (sklearn) to implement and analyse principal component analysis (PCA)on the Iris dataset
- Employ Keras to build autoencoder models for the CIFAR-10 dataset
- Apply the Apriori algorithm with machine learning extensions (Mlxtend) to study transaction data
Who this book is for
This course is designed for developers, data scientists, and machine learning enthusiasts who are interested in unsupervised learning. Some familiarity with Python programming along with basic knowledge of mathematical concepts including exponents, square roots, means, and medians will be beneficial.
Table of Contents
- Introduction to Clustering
- Hierarchical Clustering
- Neighborhood Approaches and DBSCAN
- An Introduction to Dimensionality Reduction and PCA
- Autoencoders
- t-Distributed Stochastic Neighbor Embedding (t-SNE)
- Topic Modeling
- Market Basket Analysis
- Hotspot Analysis







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Sam Morley, "Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its li"
English | ISBN: 1838989757 | 2020 | 358 pages | AZW3, MOBI | 21 MB + 13 MB
Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific libraries

Key Features
Compute complex mathematical problems using programming logic with the help of step-by-step recipes
Learn how to utilize Python's libraries for computation, mathematical modeling, and statistics
Discover simple yet effective techniques for solving mathematical equations and apply them in real-world statistics
Book Description
Read more







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Christopher Scott Sevier, "Aquinas on Beauty"
English | ISBN: 0739184245 | 2015 | 240 pages | AZW3 | 475 KB
Aquinas on Beauty explores the nature and role of beauty in the thought of Thomas Aquinas. Beginning with a standard definition of beauty provided by Aquinas, it explores each of the components of that definition. The result is a comprehensive account of Aquinas's formal view on the subject, supplemented by an exploration into Aquinas's commentary on Dionysius's Divine Names, including a comparison of his views with those of both Dionysius and those of Aquinas's mentor, Albert the Great. The book also highlights the tight connection in Aquinas's thought between aesthetics and ethics, and illustrates how Aquinas preserves what is best about aesthetic traditions preceding him, and anticipates what is best about aesthetic traditions that would follow, marrying objective and subjective aesthetic intuitions and charting a kind of via media between the common extremes.

Read more







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