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Decarbonizing Power Generation Sectors Using Biomass and Hydrogen-Based Fuels:
A Roadmap to Sustainable Energy Transformation

English | 2025 | ISBN: 9819793599 | 512 Pages | PDF EPUB (True) | 42 MB

This book presents a comprehensive overview of important issues and topics concerning the combustion and cofiring of biomass and hydrogen-based fuels such as ammonia in the power generation sector. In recent years, the energy sector has been responsible for around three-quarters of global greenhouse gas (GHG) emissions. Cofiring of coal with agricultural and forestry wastes and low-emissions hydrogen and ammonia could reduce GHG emissions from power plants and may offer a cheaper option to achieve Net Zero Emissions (NZE). This book provides an updated review of combustion and co-combustion technologies, especially for ammonia and hydrogen cofiring, which includes technical issues, emission reduction, and by-product problems. It goes into an in-depth discussion of hydrogen and ammonia "exclusive" combustion for power generation to reduce CO2 emissions. The content caters to students, academic and industry researchers, and policymakers who are interested in decarbonizing power generation sectors using biomass and hydrogen-based fuels.


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Decentralized Autonomous Organizations: How Finance can Interact with Blockchain-based DAOs
English | 2025 | ISBN: 9811295786 | 221 Pages | PDF (True) | 9 MB
For financial services professionals, understanding the paradigm shift represented by Decentralized Autonomous Organizations (DAOs) is essential for staying ahead of the curve. What are DAOs, and how do they differ from traditional firms? How do DAOs use blockchain technology to enable decentralized governance and decision-making? With many DAO types emerging, how can finance professionals decipher and evaluate them based on their characteristics?



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Decentralized Finance (DeFi): How Decentralized Applications (dApps) Disrupt Banking (Business Guides on the Go) by Cordelia Friesendorf, Alena Blütener
English | August 27, 2023 | ISBN: 3031374878 | 121 pages | MOBI | 3.85 Mb
This book explores how decentralized finance (DeFi) can disrupt traditional centralized finance including the business areas of insurance companies, banks, money markets, and bonds. DeFi is not a company or a single product, rather it is a collection of products or services. As part of the Ethereum ecosystem, DeFi services are provided as Decentralized Applications (dApps), which require smart contracts to lock in assets for processing transactions. Changing consumer expectations, the availability of affordable technologies, and entrepreneurial drive create space for DeFi. Geopolitical crises and trust deterioration exacerbate the need. This book explains the concept of DeFi, the technological opportunities, the current reality and status quo of business transactions, and demonstrates the potential for future use and the eventual transformation of the financial industry. It further provides a comprehensive analysis of the real-world applications of DeFi, the Decentralized Ledger Technology (DLT), and digital assets, as well as their potential risks to consumers and financial institutions to bankers, managers, investors, and policymakers.



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Decision and Prediction Analysis Powered With Operations Research by Vojo Bubevski
English | July 16, 2024 | ISBN: 8369341799 | 304 pages | EPUB | 10 Mb
Organizations today face complex decisions and uncertainties that can have a profound impact on their financial stability and strategic direction. Traditional decision-making methods often fall short when it comes to addressing multifaceted issues like financing, product manufacturing, and facility location. These challenges demand a robust framework that quantifies factors, assesses risks, and provides optimal solutions. Without advanced tools and techniques, businesses are at risk of making uninformed decisions that could lead to significant financial losses and missed opportunities. The urgency to equip yourself with these tools is clear. Decision and Prediction Analysis Powered With Operations Research offers a comprehensive solution to these challenges. This book integrates operations research techniques to reframe and solve complex business problems. It provides a detailed exploration of decision analysis tools, such as influence diagrams and decision trees, which help visualize and assess various decision scenarios. By applying these tools, organizations can better understand uncertainties, evaluate risks, and make decisions that maximize expected utility and achieve strategic objectives.



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Decoding Digital Consumer Behavior: Bridging Theory and Practice by Alfonso Pellegrino
English | July 4, 2024 | ISBN: 9819734533 | 161 pages | MOBI | 1.23 Mb
This book is a call to adopt more ethical, sustainable, and consumer-focused approaches in the digital era. The focus on consumer perceptions and expectations in a digital context is particularly relevant, as it delves into the psychological and behavioral aspects of digital interactions. The chapters on digital consumption and risk, and memory in the digital world, are pivotal in understanding how digital mediums impact consumer choices and brand recall. Online persuasion, a key topic, explores ethical and effective strategies for influencing consumer behavior, emphasizing the importance of authenticity and trust. The discussion on social comparison and its implications in digital consumption underscores the psychological impact of digital platforms. The chapters on humanistic and sustainable marketing, and digital customer experience, reflect the growing importance of ethical, sustainable practices, and customer-centric approaches in building brand loyalty. The book is an essential guide for marketing professionals and students, offering a comprehensive understanding of the complex interplay between digital marketing strategies and consumer behavior.



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Decoding the Algorithm: How AI Shapes Our World and How to Stay Ahead by Hayden Van Der Post, Reactive Publishing, Vincent Bisette
English | January 21, 2025 | ISBN: N/A | ASIN: B0DTQXMC9H | 338 pages | EPUB | 0.54 Mb
Reactive Publishing

Artificial intelligence is everywhere, influencing the choices we make and the systems we rely on. Decoding the Algorithm unpacks the hidden mechanisms behind AI and offers a roadmap to understand and leverage its power in everyday life. Explore how algorithms work, their impact on society, and practical strategies for staying ahead in an AI-driven world. This book empowers professionals, students, and anyone curious about the future to navigate the algorithmic landscape confidently.


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Decoding the Art of Persuasion
by Maria Rosa Fischetti

English | January 20, 2025 | ISBN: 8899283281 | 127 Pages | True epub | 0,77 MB

The art of persuasion is a discipline that has spanned centuries, shaping thought and social interactions. From the passionate speeches of antiquity to modern advertising and political campaigns, argumentative reasoning has proven to be an essential tool for influencing decisions, building consensus, and guiding opinions.
Today, however, the advent of artificial intelligence marks a radical shift: AI systems no longer merely imitate human communication, but they are capable of learning, adapting, and personalizing messages in real-time, revolutionizing how persuasion is conceived and applied. This transformation raises new questions, both technical and ethical: what are the implications of language designed to persuade?
This book offers a detailed analysis of the structures and strategies of argumentation. The principles of classical logic and rhetoric are explored, followed by modern approaches such as the pragmatics of argumentation and computational models applied to persuasion. Special attention is given to the tools that characterize persuasive interactions in intelligent systems.
An interdisciplinary work that blends philosophy and linguistics, designed for scholars, professionals, and enthusiasts eager to understand and master the dynamics of persuasion in an era of continuous innovation and complex communication.
eBook Details:
Maria Rosa Fischetti
127 Pages
2 - 3 Hours to read
39k Total words
Release Date: January 20, 2025
ISBN-13: 9788899283285
ISBN-10: 8899283281
Language: English
Format: epub
✅File Size: 0,77 MB


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Deep Learning and AI Superhero: Mastering TensorFlow, Keras, and PyTorch
English | 2025 | ASIN : B0DJMRFBFZ | 799 Pages | EPUB | 2 MB
Deep learning is transforming industries by enabling machines to see, hear, and understand the world. With Deep Learning and AI Superhero: Mastering Deep Learning with TensorFlow, Keras, and PyTorch, you will learn how to build state-of-the-art deep learning models using the most powerful frameworks available.



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Deep Learning for Advanced X-ray Detection and Imaging Applications
English | 2025 | ISBN: 3031756525 | 462 Pages | PDF EPUB (True) | 76 MB
This book provides a comprehensive overview of the latest advances in applying Artificial Intelligence (AI) to advanced X-ray imaging, with a particular focus on its medical applications. Readers will discover why AI is set to revolutionize traditional signal processing and image reconstruction with vastly improved performance. The authors illustrate how Machine Learning (ML) and Deep Learning (DL) significantly advance X-ray detection analysis, image reconstruction, and other crucial steps. This book also reveals how these technologies enable photon counting detector-based X-ray Computed Tomography (CT), which has the potential not only to improve current CT images but also enable new clinical applications, such as providing higher spatial resolution, better soft tissue contrast, K-edge imaging, and simultaneous multi-contrast agent imaging.



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Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection by Vitor Cerqueira, Luís Roque
English | March 29, 2024 | ISBN: 1805129236 | 274 pages | EPUB | 6.81 Mb
Learn how to deal with time series data and how to model it using deep learning and take your skills to the next level by mastering PyTorch using different Python recipes

Key FeaturesLearn the fundamentals of time series analysis and how to model time series data using deep learningExplore the world of deep learning with PyTorch and build advanced deep neural networksGain expertise in tackling time series problems, from forecasting future trends to classifying patterns and anomaly detectionPurchase of the print or Kindle book includes a free PDF eBookBook Description
Most organizations exhibit a time-dependent structure in their processes, including fields such as finance. By leveraging time series analysis and forecasting, these organizations can make informed decisions and optimize their performance. Accurate forecasts help reduce uncertainty and enable better planning of operations. Unlike traditional approaches to forecasting, deep learning can process large amounts of data and help derive complex patterns. Despite its increasing relevance, getting the most out of deep learning requires significant technical expertise.
This book guides you through applying deep learning to time series data with the help of easy-to-follow code recipes. You'll cover time series problems, such as forecasting, anomaly detection, and classification. This deep learning book will also show you how to solve these problems using different deep neural network architectures, including convolutional neural networks (CNNs) or transformers. As you progress, you'll use PyTorch, a popular deep learning framework based on Python to build production-ready prediction solutions.
By the end of this book, you'll have learned how to solve different time series tasks with deep learning using the PyTorch ecosystem.
What you will learnGrasp the core of time series analysis and unleash its power using PythonUnderstand PyTorch and how to use it to build deep learning modelsDiscover how to transform a time series for training transformersUnderstand how to deal with various time series characteristicsTackle forecasting problems, involving univariate or multivariate dataMaster time series classification with residual and convolutional neural networksGet up to speed with solving time series anomaly detection problems using autoencoders and generative adversarial networks (GANs)Who this book is for
If you're a machine learning enthusiast or someone who wants to learn more about building forecasting applications using deep learning, this book is for you. Basic knowledge of Python programming and machine learning is required to get the most out of this book.
Table of ContentsGetting Started with Time SeriesGetting Started with PyTorchUnivariate Time Series ForecastingForecasting with PyTorch LightningGlobal Forecasting ModelsAdvanced Deep Learning Architectures for Time Series ForecastingProbabilistic Time Series ForecastingDeep Learning for Time Series ClassificationDeep Learning for Time Series Anomaly Detection


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Deep Learning in Wireless Communications
English | 2025 | ISBN: 9819763134 | 149 Pages | PDF (True) | 2.3 MB
The book offers a focused examination of deep learning-based wireless communication systems and their applications. While both principles and engineering practice are explored, greater emphasis is placed on the latter. The book offers an in-depth exploration of major topics such as cognitive spectrum intelligence, learning resource allocation optimization, transmission intelligence, learning traffic and mobility prediction, and security in wireless communication. Notably, the book provides a comprehensive and systematic treatment of practical issues related to intelligent wireless communication, making it particularly useful for those seeking to learn about practical solutions in AI-based wireless resource management. This book is a valuable resource for researchers, engineers, and graduate students in the fields of wireless communication, telecommunications, and related areas.



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Deep Learning Neural Networks: Design And Case Studies
English | 2016 | ISBN: 9813146443 | 280 Pages | PDF (True) | 3 MB
Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault detection, medical diagnostics and finance.This comprehensive textbook is the first in the new emerging field. Numerous case studies are succinctly demonstrated in the text. It is intended for use as a one-semester graduate-level university text and as a textbook for research and development establishments in industry, medicine and financial research.



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Dr. S Lovelyn Rose, "Deep Learning Using Python"
English | ASIN : B07RFS24XB | 2020 | pages | EPUB | 16 MB
The book has been divided into seven chapters. Chapter 1 elaborately deals with the fundamentals of deep learning, to enable any reader to understand the deep learning architectures elaborated in subsequent chapters. Chapter 2 deals with Convolutional Neural Networks (CNNs), which have proven to be very effective in the area of computer vision. Chapter 3 deals with Recurrent Neural Networks (RNNs) and its variants. The various types of autoencoders, which are a type of Artificial Neural Network used to learn efficient data encoding, are presented in Chapter 4. To learn the probability distribution over the set of inputs, Restricted Boltzmann Machine (RBM) is discussed in Chapter 5. Chapter 6 presents popular open source frameworks in Python for deep learning applications. Chapter 7 describes how to utilize the knowledge that you have gained from previous chapters in real-time applications.

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J. Wolfgang Wägele, "Deep Metazoan Phylogeny: The Backbone of the Tree of Life: New insights from analyses of molecules, morphology, and theo"
English | ISBN: 3110277468 | 2014 | 761 pages | PDF | 156 MB
The growing success of molecular methods has challenged traditional views of animal evolution and a large number of alternative hypotheses are hotly debated today. For the deep metazoan phylogeny project, data sets of hitherto unmatched quality and quantity were compiled and analysed with innovative bioinformatics tools. The book begins at the base of the tree of life to discuss the origin of animals and early branches of the phylogenetic tree. The following section presents special data sets gained from mitochondrial genomes and from morphology, with a focus on nervous systems. The final section is dedicated to theoretical aspects of data analysis and new bioinformatics tools. The book closes with a unique general discussion of all hypotheses contained in previous chapters. This work provides the most comprehensive overview available of the state of the art in this exciting field of evolutionary research.

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Deep Nutrition
by Catherine Shanahan, M.D.

English | January 3, 2017 | ISBN: 1250113830 | 695 Pages | True epub | 19,12 MB

One of the Best Health and Wellness Books of 2017 - Sports Illustrated
Deep Nutrition cuts through today's culture of conflicting nutritional ideologies, showing how the habits of our ancestors can help us lead longer, healthier, more vital lives.
Physician and biochemist Catherine Shanahan, M.D. examined diets around the world known to help people live longer, healthier lives-diets like the Mediterranean, Okinawa, and "Blue Zone"-and identified the four common nutritional habits, developed over millennia, that unfailingly produce strong, healthy, intelligent children, and active, vital elders, generation after generation. These four nutritional strategies-fresh food, fermented and sprouted foods, meat cooked on the bone, and organ meats-form the basis of what Dr. Cate calls "The Human Diet."
Rooted in her experience as an elite athlete who used traditional foods to cure her own debilitating injuries, and combining her research with the latest discoveries in the field of epigenetics, Dr. Cate shows how all calories are not created equal; food is information that directs our cellular growth. Our family history does not determine our destiny: what you eat and how you live can alter your DNA in ways that affect your health and the health of your future children.
Deep Nutrition offers a prescriptive plan for how anyone can begin eating The Human Diet to:
*Improve mood
*Eliminate cravings and the need to snack
*Boost fertility and have healthier children
*Sharpen cognition and memory
*Eliminate allergies and disease
*Build stronger bones and joints
*Get younger, smoother skin
eBook Details:
Catherine Shanahan, M.D.
695 Pages
15 - 16 Hours to read
189k Total words
Release Date: January 3, 2017
ISBN-13: 9781250113832
ISBN-10: 1250113830
Language: English
Format: epub
✅File Size: 19,12 MB


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Deep Selling: How to Engage Buyers and Drive Growth in the Age of AI
English | 2025 | ISBN: 1394303068 | 224 Pages | PDF | 7 MB
Right now, how we buy and sell is evolving dramatically. People have fundamentally changed the way they do business. To put it simply: buyers no longer interact with sellers in the same way. To ensure a profitable future, sales leaders and teams need to embrace this transformation. In the face of globalisation, ecommerce, subscription services, and new digital tools for buyers and sellers alike, you need new strategies to generate successful sales and better bottom lines.



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DeepSeek Millionaire: How to Become a Millionaire with the Artificial Intelligence of the Future
English | 2025 | ASIN : B0DVGVC1Z1 | 178 Pages | EPUB | 0.2 MB
That tool already exists. It's called DeepSeek, and in this book, you'll discover how to use it to create, scale, and automate income streams across multiple industries, from digital businesses and marketing to smart investments.



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DeepSeek: The AI Revolution That Redefined the Future
English | 2025 | ASIN : B0DVHY2PL2 | 5 Pages | EPUB | 0.7 MB
Over the years, I've dedicated myself to staying at the forefront of technological advancements. Whether it's exploring the latest software developments, delving into artificial intelligence, or tackling complex technical challenges, I thrive on the dynamic nature of the tech industry.



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DeepSeek: The ChatGPT Killer?: Exploring the Next Frontier in Generative AI and Ethical Technology
English | 2025 | ASIN : B0DVH5D834 | 93 Pages | EPUB | 0.5 MB
Explore the cutting-edge world of artificial intelligence with "DeepSeek: The ChatGPT Killer," a comprehensive analysis that delves deep into the emerging battle for supremacy in the AI sector. This pivotal book offers a thorough exploration of DeepSeek, touted as the next major contender poised to challenge the dominance of OpenAI's ChatGPT.



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DeepSeek Unlocked: Your Guide to Mastering China's Revolutionary AI:
Step-by-Step Instructions to Understand, Utilize, and Transform with DeepSeek

English | 2025 | ASIN : B0DVFJ8ZLC | 149 Pages | EPUB | 0.4 MB

In today's rapidly evolving world, AI isn't just a buzzword-it's a game-changer that's reshaping industries and transforming lives. One of the most groundbreaking advancements in this landscape is DeepSeek, China's revolutionary AI platform that's setting new standards for AI-driven solutions. But how can you harness its power and put it to practical use?


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