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Alisdair A. Gillespie, "Cybercrime: Key Issues and Debates Ed 2"
English | ISBN: 1138541788 | 2019 | 382 pages | EPUB | 3 MB
Now in its second edition, Cybercrime: Key Issues and Debates provides a valuable overview of this fast-paced and growing area of law. As technology develops and internet-enabled devices become ever more prevalent, new opportunities exist for that technology to be exploited by criminals. One result of this is that cybercrime is increasingly recognised as a distinct branch of criminal law.

The book offers readers a thematic and critical overview of cybercrime, introducing the key principles and clearly showing the connections between topics as well as highlighting areas subject to debate. Written with an emphasis on the law in the UK but considering in detail the Council of Europe's important Convention on Cybercrime, this text also covers the jurisdictional aspects of cybercrime in international law. Themes discussed include crimes against computers, property, offensive content, and offences against the person, and, new to this edition, cybercrime investigation.
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Das kleine Buch der Zahlen: Vom Abzählen bis zur Kryptographie By Peter M. Higgins (auth.)
2013 | 354 Pages | ISBN: 3827430151 | PDF | 3 MB
Seit Jahrhunderten sind Menschen fasziniert von Zahlen. Zahlen sind jedem vertraut und bilden ein wesentliches Fundament für unser Verständnis der Welt. Und doch ist uns das Zahlensystem nicht „einfach so" gegeben, sondern es hat sich über Jahrtausende entwickelt. Trotz aller Fortschritte kann auch heute noch jedes Kind Fragen in Bezug auf Zahlen stellen, die niemand beantworten kann. Viele ungelöste Probleme im Zusammenhang mit Zahlen erscheinen wie skurrile Seltsamkeiten von geringem Nutzen, andere wiederum behindern den grundlegenden Fortschritt in wichtigen Forschungsbereichen der modernen Mathematik.Peter Higgins verarbeitet Jahrhunderte des Fortschritts zu einer erbaulichen Erzählung, die das Geheimnisvolle der Zahlen hervorhebt und erklärt, wie die verschiedenen Arten von Zahlen aufgetaucht sind und weshalb sie nützlich sind. Das Buch enthält viele historische Anmerkungen und interessante Beispiele, und es behandelt einfache Zahlenrätsel und Zaubertricks ebenso wie aufschlussreiche Verbindungen zu Problemen des Alltags: Wie bleiben beim Shoppen im Internet Einzelheiten zu unseren Bankdaten geheim? Wie groß sind die Chancen, beim Russisch Roulette zu gewinnen oder einen Flush im Poker zu erhalten?Higgins gelingt eine gut lesbare Mischung aus leichteren Inhalten und schwierigeren Ideen über das Unendliche und die komplexen Zahlen. Und für alle, die gerne eine vollständige Erklärung mögen, behandelt ein abschließendes Kapitel „Für Kenner und Genießer" nochmals spezielle Aussagen und Beispiele des Buchs in der Sprache der Mathematik. Auch heute lernen wir immer noch Neues über die Zahlen, und dieses Buch lädt uns dazu ein, die Geheimnisse und die Schönheit der Zahlen neu zu entdecken, und es erinnert uns daran, dass die Erforschung der Zahlen eine sehr lange Geschichte hat und noch haben wird.

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Data Analysis and Information Systems: Statistical and Conceptual Approaches Proceedings of the 19th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Basel, March 8-10, 1995 By Peter G. Bryant (auth.), Prof. Dr. Hans-Hermann Bock, Prof. Dr. Wolfgang Polasek (eds.)
1996 | 548 Pages | ISBN: 3540607749 | PDF | 17 MB
This volume presents 45 articles dealing with theoretical aspects, methodo logical advances and practical applications in domains relating to classifica tion and clustering, statistical and computational data analysis, conceptual or terminological approaches for information systems, and knowledge struc tures for databases. These articles were selected from about 140 papers presented at the 19th Annual Conference of the Gesellschaft fur Klassifika tion, the German Classification Society. The conference was hosted by W. Polasek at the Institute of Statistics and Econometry of the University of 1 Basel (Switzerland) March 8-10, 1995 . The papers are grouped as follows, where the number in parentheses is the number of papers in the chapter. 1. Classification and clustering (8) 2. Uncertainty and fuzziness (5) 3. Methods of data analysis and applications (7) 4. Statistical models and methods (4) 5. Bayesian learning (5) 6. Conceptual classification, knowledge ordering and information systems (12) 7. Linguistics and dialectometry (4). These chapters are interrelated in many respects. The reader may recogni ze, for example, the analogies and distinctions existing among classification principles developed in such different domains as statistics and information sciences, the benefit to be gained by the comparison of conceptual and ma thematical approaches for structuring data and knowledge, and, finally, the wealth of practical applications described in many of the papers. For convenience of the reader, the content of this volume is briefly reviewed.

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Data Mesh: Principles, Patterns, Architecture, and Strategies for Data-Driven Decision Making by Pradeep Menon
English | May 16th, 2024 | ISBN: 9355519966 | 282 pages | True EPUB | 7.01 MB
Data Mesh: The future of data architecture!

Key Features
* Decentralize data with domain-oriented design.
* Enhance scalability and data autonomy.
* Implement robust governance across domains.
Description
"Data Mesh: Principles, patterns, architecture, and strategies for data-driven decision making" introduces Data Mesh which is a macro data architecture pattern designed to harmonize governance with flexibility.
This book guides readers through the nuances of Data Mesh topologies, explaining how they can be tailored to meet specific organizational needs while balancing central control with domain-specific autonomy. The book delves into the Data Mesh governance framework, which provides a structured approach to manage and control decentralized data assets effectively. It emphasizes the importance of a well-implemented governance structure that ensures data quality, compliance, and access control across various domains. Additionally, the book outlines robust data cataloging and sharing strategies, enabling organizations to improve data discoverability, usage, and interoperability between cross-functional teams. Securing Data Mesh architectures is another critical focus. The text explores comprehensive security strategies that protect data across different layers of the architecture, ensuring data integrity and protecting against breaches.
By implementing the strategies discussed, data professionals will strengthen their ability to safeguard sensitive information in a distributed environment, making this book a vital resource for anyone involved in data management, security, or governance.
What you will learn
* Understand the evolution and need for Data Mesh architectures.
* Learn the core principles and design for Data Mesh implementations.
* Identify and apply Data Mesh architectural patterns and components.
* Implement effective Data Mesh governance frameworks.
* Develop and execute a strategic data cataloging plan.
* Create comprehensive data-sharing strategies and security strategies within Data Mesh.
Who this book is for
This book is ideal for data professionals, including chief data officers, chief analytics officers, chief information officers, enterprise data architects, data stewards, and data governance and compliance professionals.

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Data Mining for Biomarker Discovery By Stefania Mondello, Firas Kobeissy, Isaac Fingers (auth.), Panos M. Pardalos, Petros Xanthopoulos, Michalis Zervakis (eds.)
2012 | 246 Pages | ISBN: 1461421063 | PDF | 6 MB
Biomarker discovery is an important area of biomedical research that may lead to significant breakthroughs in disease analysis and targeted therapy. Biomarkers are biological entities whose alterations are measurable and are characteristic of a particular biological condition. Discovering, managing, and interpreting knowledge of new biomarkers are challenging and attractive problems in the emerging field of biomedical informatics.This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, the included contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques.This volume is intended for students, and researchers in bioinformatics, proteomics, and genomics, as well engineers and applied scientists interested in the interdisciplinary application of data mining techniques.

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Datenanalyse für Naturwissenschaftler und Ingenieure: Mit statistischen Methoden und Java-Programmen By Siegmund Brandt (auth.)
2013 | 342 Pages | ISBN: 3642376630 | PDF | 63 MB
Die fünfte Auflage dieses erfolgreichen Buchs gibt eine umfassende Einführung in statistische und numerische Methoden zur Auswertung empirischer und experimenteller Daten. Statistische Theorie und praktische Probleme werden gleichermaßen behandelt: Es wird eine knappe mathematische Formulierung benutzt, ohne dabei die Anwendungen zu vernachlässigen, die in vielen Beispielen dargestellt werden. Für diese Auflage wurde eine Bibliothek von Java-Programmen entwickelt. Sie umfasst Methoden der rechnerischen Datenanalyse und der graphischen Darstellung sowie zahlreiche Beispielprogramme und Lösungen zu Programmieraufgaben. Die Programme (Quellcode und Java-Klassen, Dokumentation) und ausführliche Anhänge zum Haupttext des Buches stehen online auf der Seite des Buches innerhalb von [Ссылки доступны только зарегистрированным пользователям . Регистрируйся тут...] zur Verfügung.Der Inhalt· Wahrscheinlichkeitsrechnung, Zufallsvariable· Zufallszahlen und Monte-Carlo-Methode· Statistische Verteilungen (Binomial-, Gauß-, Poisson, ...), Stichproben, Statistische Tests· Maximum Likelihood, kleinste Quadrate, Regression, Minimierung· Varianzanlyse und Zeitreihenanalyse· Anhänge zu mathematischen Hilfsmethoden und zu den Programmen.Die ZielgruppenDas Buch ist konzipiert als Einführung für Bachelor-Studierende und als Nachschlagewerk für Studierende im Master- und Promotionsstudium sowie fürNaturwissenschaftler und Ingenieure in Forschung und Praxis. Es bietet ihnen Anleitung und Hilfe bei der Analyse ihrer Daten· im Praktikum· in Bachelor- und Master-Arbeiten· in Dissertationen· in Forschung und Beruf.Der AutorSiegmund Brandt ist emeritierter Professor der Physik an der Universität Siegen. Mit seiner Gruppe arbeitete er an Experimenten zur Elementarteilchenphysik an den Forschungszentren DESY in Hamburg und CERN in Genf, bei denen die Auswertung der experimentell gewonnenen Daten eine wichtige Rolle spielt.Er war Vorsitzender des Wissenschaftlichen Rates von DESY und ist Autor bzw. Koautor von Lehrbüchern, die in zehn Sprachen erschienen sind.

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Daughters of Bronze: A Novel of Troy by A. D. Rhine
English | November 26, 2024 | ISBN: 0593474805 | True EPUB | 512 pages | 4.4 MB
Song of great sorrow. Even greater love.

Lost between the timeless lines of Homer's epic, the women of Troy finally stand to be counted. Their story is one you've never encountered, and it will change the fate of Troy forever.
Andromache has proven herself a capable leader, but can she maintain that hard-won status now that she is the mother to the city's long-awaited heir? With enemies closing in, Andromache must bring together a divided city in time to make a final stand.
Rhea is a Trojan spy, but she never expected to find love in the enemy camp. When the final battle lines are drawn, Rhea must decide where her loyalties lie and how much she is willing to lose.
Helen is no longer the same broken woman first brought to Troy as a captive. Given a second chance at life, she must cast off her shroud of grief and use her healing gifts to save Troy's greatest hope.
Cassandra has seen Troy's fate. But she knows the truth is only as valuable as the person who tells it . . . and few in Troy value her. All that is about to change. One hero will rise, another will fall . . . and this time, Cassandra will have her say.
From the highest tower to the most humble alley, the bloody beaches to the dusty plain, Daughters of Bronze is the thrilling conclusion to the duology that began with Horses of Fire, andbreathes life into the Troy of myth and history. It is an epic of a thousand invisible actions leading to a single moment, adding a refrain of unexpected light to the legend of Troy.

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Nancy N. Rue, "Dear Nancy: Answers to Letters from Girls Like You (Faithgirlz!)"
English | 2008 | pages: 164 | ISBN: 0310714966 | PDF | 7,7 mb
You've got mail ... lots of it! Author Nancy Rue loves getting letters from her readers, but finding the time to answer them has always been a challenge. Dear Nancy was born from a desire to connect with readers in-depth by really answering their questions, particularly the ones she gets asked over and over, like, "How did you become a writer?" and "What's your favorite Scripture verse?" for example. Readers want more than just tips on writing, though―they want to know about Sophie and Lily, about boys and friends, about growing up, and even more about Nancy herself. So here's a peek into Nancy's mailbox with answers on topics that are closest to tween girls' hearts.

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Debt-Free Journey: Strategies for Paying Off Debt and Building Financial Freedom: "Your Step-by-Step Guide to Conquer Debt, Achieve Financial Freedom, and Live Debt-Free" by Vijay Gupta
English | April 3, 2024 | ISBN: N/A | ASIN: B0CW18SCMF | 54 pages | EPUB | 0.15 Mb
Embark on a transformative journey towards financial freedom with "Debt-Free Journey." In this comprehensive guide, you'll discover proven strategies and practical advice for paying off debt, breaking free from financial burdens, and building a secure future.

Are you tired of living paycheck to paycheck, weighed down by debt and financial stress? It's time to take control of your finances and pave the way to a brighter tomorrow. With "Debt-Free Journey," you'll learn how to create a customized debt repayment plan tailored to your unique circumstances, prioritize debts effectively, and accelerate your path to debt freedom.
But the journey doesn't end there. "Debt-Free Journey" goes beyond debt repayment to help you lay the groundwork for long-term financial stability and prosperity. Explore essential topics such as budgeting, saving, investing, and avoiding future debt pitfalls. Discover practical tips for managing your money wisely, building an emergency fund, and developing healthy financial habits that will last a lifetime.
Written in clear, accessible language, "Debt-Free Journey" offers actionable guidance that anyone can follow, regardless of income level or financial background. Whether you're drowning in credit card debt, student loans, or medical bills, this book provides the tools and resources you need to reclaim your financial independence and live life on your own terms.
Join the thousands of individuals who have already embarked on their own debt-free journey and transformed their lives for the better. With "Debt-Free Journey" as your roadmap, you'll gain the confidence, knowledge, and motivation to overcome financial obstacles and build the future you deserve.

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Decentralized Privacy Preservation in Smart Cities (Wireless Networks) by Cheng Huang, Xuemin (Sherman) Shen
English | March 19, 2024 | ISBN: 3031540743 | 180 pages | MOBI | 22 Mb
This book investigates decentralized trust-based privacy-preserving solutions in smart cities. The authors first present an overview of smart cities and privacy challenges and discuss the benefits of adopting decentralized trust models in achieving privacy preservation. The authors then give a comprehensive review of fundamental decentralized techniques and privacy-preserving cryptographic techniques. The next four chapters each detail a decentralized trust-based scheme, focusing respectively on privacy-preserving identity management, cross-domain authentication, data analytics, and data search, in specific use cases. Finally, the book explores open issues and outlines future research directions in the field of decentralized privacy preservation.

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Deep Learning Applications in Operations Research
English | 2025 | ISBN: 1032708026 | 262 Pages | PDF EPUB (True) | 57 MB
The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance.

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Deep Learning for Hyperspectral Image Analysis and Classification
by Linmi Tao
English | 2021 | ISBN: 9813344199 | 217 Pages | True PDF | 13 MB

This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs will benefit subsequent remote sensing techniques significantly.

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Deep Learning in Diabetes Mellitus Detection and Diagnosis
English | 2025 | ISBN: 1032647000 | 200 Pages | PDF EPUB (True) | 15 MB
Deep Learning in Diabetes Mellitus Detection and Diagnosis focuses on deep learning-based approaches in the field of Diabetes Mellitus detection and diagnosis, including preprocessing techniques which are an essential part of this subject. This is the first book of its kind to cover deep learning-based approaches in the specific field of Diabetes Mellitus. The book includes a detailed introductory overview as well as chapters on current applications, preprocessing of data using deep learning, deep learning techniques, complexity, challenges and future directions. It will be of great interest to researchers and professionals working on Diabetes Mellitus as well as general medical applications of machine learning.

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Kunal Sawarkar, "Deep Learning with PyTorch Lightning: Swiftly build high-performance Artificial Intelligence (AI) models using Python"
English | 2022 | ISBN: 180056161X | PDF | pages: 364 | 21.0 mb
Build, train, deploy, and scale deep learning models quickly and accurately, improving your productivity using the lightweight PyTorch Wrapper

Key Features:
- Become well-versed with PyTorch Lightning architecture and learn how it can be implemented in various industry domains
- Speed up your research using PyTorch Lightning by creating new loss functions, networks, and architectures
- Train and build new algorithms for massive data using distributed training
Book Description:
PyTorch Lightning lets researchers build their own Deep Learning (DL) models without having to worry about the boilerplate. With the help of this book, you'll be able to maximize productivity for DL projects while ensuring full flexibility from model formulation through to implementation. You'll take a hands-on approach to implementing PyTorch Lightning models to get up to speed in no time.
You'll start by learning how to configure PyTorch Lightning on a cloud platform, understand the architectural components, and explore how they are configured to build various industry solutions. Next, you'll build a network and application from scratch and see how you can expand it based on your specific needs, beyond what the framework can provide. The book also demonstrates how to implement out-of-box capabilities to build and train Self-Supervised Learning, semi-supervised learning, and time series models using PyTorch Lightning. As you advance, you'll discover how generative adversarial networks (GANs) work. Finally, you'll work with deployment-ready applications, focusing on faster performance and scaling, model scoring on massive volumes of data, and model debugging.
By the end of this PyTorch book, you'll have developed the knowledge and skills necessary to build and deploy your own scalable DL applications using PyTorch Lightning.
What You Will Learn:
- Customize models that are built for different datasets, model architectures, and optimizers
- Understand how a variety of Deep Learning models from image recognition and time series to GANs, semi-supervised and self-supervised models can be built
- Use out-of-the-box model architectures and pre-trained models using transfer learning
- Run and tune DL models in a multi-GPU environment using mixed-mode precisions
- Explore techniques for model scoring on massive workloads
- Discover troubleshooting techniques while debugging DL models
Who this book is for:
This deep learning book is for citizen data scientists and expert data scientists transitioning from other frameworks to PyTorch Lightning. This book will also be useful for deep learning researchers who are just getting started with coding for deep learning models using PyTorch Lightning. Working knowledge of Python programming and an intermediate-level understanding of statistics and deep learning fundamentals is expected.

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Der Beitrag der Psychologie zur nachhaltigen Entwicklung: Ein Kompendium
Deutsch | 2024 | ISBN: 3658455047 | 129 Pages | PDF (True) | 6 MB
Die von den Vereinten Nationen für eine nachhaltige Entwicklung formulierten siebzehn Themenfelder sind politische Zielsetzungen. Sie beruhen auf dem Leitbild der Nachhaltigkeit, dem drei Dimensionen zugrunde liegen: die Ökonomie, die Ökologie und die sozialen Belange. Die internationalen und nationalen Akteursebenen liefern ein Rahmenprogramm, das jedoch gefüllt und konkretisiert werden muss, um eine nachhaltige Entwicklung zu erreichen. Das geschieht vor allem auf der kommunalen und der individuellen Ebene. Damit der einzelne Mensch zur nachhaltigen Entwicklung beitragen kann, muss er dazu befähigt und motiviert werden. Die Psychologie verfügt über Theorien und Konzepte, um umweltbezogenes Handeln zu erklären und zu beeinflussen. Sie ist deshalb bei den Bemühungen, zu einer nachhaltigen Entwicklung zu gelangen, unentbehrlich.

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