Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data. Social Science Research Network has revealed that 65% of people are visual learners. Research data provided by Hyerle (2000) has clearly shown 90% of information in the human brain is visual. Thus, it is no wonder that visual information processing in the brain is 60,000 times faster than text-based information (3M Corporation, 2001). Recently, we have witnessed a significant surge in conversing with images due to the popularity of social networking platforms. The other reason for embracing usage of image data is the mass availability of high-resolution cellphone cameras. Wide usage of image data in diversified application areas including medical science, media, sports, remote sensing, and so on, has spurred the need for further research in optimizing archival, maintenance, and retrieval of appropriate image content to leverage data-driven decision-making. This book demonstrates several techniques of image processing to represent image data in a desired format for information identification. It discusses the application of machine learning and deep learning for identifying and categorizing appropriate image data helpful in designing automated decision support systems. The book offers comprehensive coverage of the most essential topics, including: Image feature extraction with novel handcrafted techniques (traditional feature extraction) Image feature extraction with automated techniques (representation learning with CNNs) Significance of fusion-based approaches in enhancing classification accuracy MATLAB® codes for implementing the techniques Use of the Open Access data mining tool WEKA for multiple tasks The book is intended for budding researchers, technocrats, engineering students, and machine learning/deep learning enthusiasts who are willing to start their computer vision journey with content-based image recognition. The readers will get a clear picture of the essentials for transforming the image data into valuable means for insight generation. Readers will learn coding techniques necessary to propose novel mechanisms and disruptive approaches. The WEKA guide provided is beneficial for those uncomfortable coding for machine learning algorithms. The WEKA tool assists the learner in implementing machine learning algorithms with the click of a button. Thus, this book will be a stepping-stone for your machine learning journey. Please visit the author's website for any further guidance at https://www.rikdas.com/
Phishing Detection Using Content-Based Image Classification is an invaluable resource for any deep learning and cybersecurity professional and scholar trying to solve various cybersecurity tasks using new age technologies like Deep Learning and Computer Vision. With various rule-based phishing detection techniques at play which can be bypassed by phishers, this book provides a step-by-step approach to solve this problem using Computer Vision and Deep Learning techniques with significant accuracy. The book offers comprehensive coverage of the most essential topics, including: Programmatically reading and manipulating image data Extracting relevant features from images Building statistical models using image features Using state-of-the-art Deep Learning models for feature extraction Build a robust phishing detection tool even with less data Dimensionality reduction techniques Class imbalance treatment Feature Fusion techniques Building performance metrics for multi-class classification task Another unique aspect of this book is it comes with a completely reproducible code base developed by the author and shared via python notebooks for quick launch and running capabilities. They can be leveraged for further enhancing the provided models using new advancement in the field of computer vision and more advanced algorithms.
Learn how to use AutoML to leverage Machine Learning for solving business problems KEY FEATURES ● Get familiar with the common machine learning problems and understand how to solve them. ● Understand the importance of different types of data and how to work with them effectively. ● Learn how to use machine learning and AutoML tools to solve real-world problems. DESCRIPTION “Fun with Machine Learning” is an essential guide for anyone looking to learn about machine learning and how it can be used to make informed business decisions. The book covers the basics of machine learning, providing an overview of key concepts and terminology. To fully understand machine learning, it is important to have a basic understanding of statistics and mathematics. The book provides a simple introduction to these topics, making it easy for you to understand the core concepts. One of the key features of the book is its focus on AutoML tools. It introduces you to different AutoML tools and explains how to use them to simplify the data science processes. The book also shows how machine learning can be used to solve real-world business problems, such as predicting customer churn, detecting fraud, and optimizing marketing campaigns. By the end of the book, you will be able to transform raw data into actionable insights with machine learning. WHAT YOU WILL LEARN ● Get a clear understanding of what machine learning is and how it works. ● Learn how to perform regression analysis using Orange. ● Understand how to implement classification In machine learning. ● Get to know more about the clustering and association algorithms. ● Analyze, visualize, manipulate, and forecast time series data with Orange. WHO THIS BOOK IS FOR This book is for Machine Learning engineers, Machine Learning enthusiasts, Data Scientists, beginners, and students who are looking to implement machine learning techniques to solve real-life business problems. It is also a great resource for business leaders who are responsible for making data-driven decisions. TABLE OF CONTENTS 1. Significance of Machine Learning in Today’s Business 2. Know Your Data 3. Up and Running With Analytical Tools 4. Machine Learning in a Nutshell 5. Regression Analysis 6. Classification 7. Clustering and Association 8. Time Series Forecasting 9. Image Analysis 10. Tips and Tricks
Everything that you want from life will come from your courage. Discover a proven courage formula that transforms any fear to fearless. Rik Schnabel, Australias top Brain Untrainer draws upon his ten years of research on overcoming fear to show you how to be truly courageous. Learn how to: ? comprehend how fear can make you tired, stressed and unhealthy; ? shift from being fearful to fearless; ? turn addictive traits into advantages; and ? achieve anything you set your mind out to accomplish. Youll also learn about the seven types of courage, the courage paradox, why you need courage to be wealthy and how passion can dissolve fear. ROAR! Courage serves as a call to all of us to rise above our limitations, redirect our addictions and step into the shoes of our leaders and heroes. While fears will always intrude on your life, you can silence them or you can even use proven techniques to make fear your friend. Find out how to do it, step-by-step in this though provoking guide to living a more courageous life.
Islam, Europe and Emerging Legal Issues brings together vital analysis of the challenges that Europe poses for an expanding Islam and that Islam poses for Europe, within their ever-evolving religious, legal, and social environments. This book gathers some of the best thinking on Islam and the law affecting current and contested issues that can no longer be ignored, particularly as they have found their way before the European Court of Human Rights. Contributors include leading authorities who are working at the heart of this generation's law and religion questions in Europe and across the world. This book outlines implications for all those who look to Europe-from both within and without-for models of human rights implementation and multi-cultural accommodation.
This is the first book-length study of the relationship between Benedetto Croce (1866-1952), Giovanni Gentile (1875-1944), Guido de Ruggiero (1888-1948) and Robin George Collingwood (1889-1943). Though the relationship between these highly influential philosophers has often been discussed, it has never been studied comprehensively. On the basis of published and unpublished writings this study carefully reconstructs their debate on the relationship between thought and action, following their explorations of art, history, philosophy and action in the context of the First World War and the rise of Fascism and Nazism. This book unveils the hidden past of contemporary philosophy of history and divulges the last secret of Collingwood's Italian connection.
A funny and fascinating exploration of our reliance upon swear words, insults, and the artfully placed expletive, damn it. We use salty or artful language to win arguments, slander, cheat, and bully, as well as to express feelings of joy or frustration by swearing or “blowing off steam.” Rik Smits delves into the magic of oaths and profanity, art and advertising, the lure of fake news and propaganda, as well as invective and off-color jokes the world over. This book shows why conversation dies in crowded elevators and what drives us to curse at our laptops. The Art of Verbal Warfare is, when all is said and done, the story of how we can get through life without coming to physical blows.
Halbleiter-Leistungsbauelemente sind das Kernstück der Leistungselektronik. Sie bestimmen die Leistungsfähigkeit und machen neuartige und verlustarme Schaltungen erst möglich. In dem Band wird neben den Halbleiter-Leistungsbauelementen selbst auch die Aufbau- und Verbindungstechnik behandelt: von den physikalischen Grundlagen und der Herstellungstechnologie über einzelne Bauelemente bis zu thermomechanischen Problemen, Zerstörungsmechanismen und Störungseffekten. Die 2., überarbeitete Auflage berücksichtigt technische Neuerungen und Entwicklungen.
Cutting edge and relevant to the local context, this first Australia and New Zealand edition of Hoyer, Consumer Behaviour, covers the latest research from the academic field of consumer behaviour. The text explores new examples of consumer behaviour using case studies, advertisements and brands from Australia and the Asia-Pacific region. The authors recognise the critical links to areas such as marketing, public policy and ethics, as well as covering the importance of online consumer behaviour with significant content on how social media and smartphones are changing the way marketers understand consumers. * Students grasp the big picture and see how the chapters and topics relate to each other by reviewing detailed concept maps * Marketing Implications boxes examine how theoretical concepts have been used in practice, and challenge students to think about how marketing decisions impact consumers * Considerations boxes require students to think deeply about technological, research, cultural and international factors to consider in relation to the contemporary consumer * Opening vignettes and end-of-chapter cases give students real-world insights into, and opportunities to analyse consumer behaviour, with extensive Australian and international examples providing issues in context
Positioning is hot. Not only in the realm of consumer goods manufacturers, but also for other companies, institutions, governments and even individual persons. An explosion of good quality products on the market and targeted media and advertising campaigns has led to an increasing interest from organizations as to how to strategically position their brand. Up to now, only a few books on positioning were published. Positioning the Brand picks up the gauntlet with an approach based on two fundamental choices: Firstly, the book was written from the perspective of the brand manager, and has therefore been shaped as a practical roadmap. Secondly, this book advocates a new stance on positioning, teaching the reader to look from the inside-out, instead of adopting the usual outside-in methodology. This inside-out approach departs from an analysis of the corporate identity, enabling better fulfilment of external positioning, and ensuring internal support. This book is intended for (future) managers, marketing professionals and communication professionals responsible for the commercial success and reputation of a brand. The contents have a practical set-up, reinforced by engaging examples, and enable the reader to individually complete a positioning process.
The conference proceedings of the 4th Conference for Wind Power Drives (CWD) contains the collected contributions of the congress which took place on the 12th and 13th of March, 2019. The latest developments and innovations are presented in 37 articles covering the following topics: Gearbox - Torque Density, Gearbox - System Performance, Grid Conformity, Generator, Drive Train Concepts, Roller Bearings - Design and Testing, Roller Bearings - Loads, Wind 4.0 - Potential of Data Analytics, Wind 4.0 - Predictive Maintenance & Reliability, Plain Bearings and Condition Monitoring. The CWD has been held every two years since 2013 and acts as an interdisciplinary platform for knowledge and technology transfer between developers, researchers and operators. Furthermore, the conference promotes networking between industry and university in the field of wind turbine drive trains. The conference is supported by Mechanical Engineering Industry Association (VDMA) the Research Association for Drive Technology (FVA) and the IEEE Power Electronics Society.
Ronald Reagan and Barack Obama have both signed bills into law with their left hands. And being left-handed certainly did not hold back the artistic achievements of Michelangelo or Raphael. And the dexterous guitar playing of Jimmi Hendrix may only have been aided by his southpaw tendencies. Left-handedness, in fact, would appear to be no big deal. Yet throughout history, it has been associated with clumsiness and generally dubious personality traits like untrustworthiness and insincerity. Even the Latin word for left, sinister, has ominous connotations. In The Puzzle of Left-handedness, Rik Smits uncovers why history has been so unkind to our lefthanded forebears. He carefully puts together the pieces of the puzzle, presenting an array of historical anecdotes, strange superstitions, and weird wives’ tales. Smits explains how left-handedness continues to be associated with maladies of all kinds, including mental retardation, alcoholism, asthma, hay fever, cancer, diabetes, insomnia, depression, and criminality. Even in the enlightened twenty-first century, left-handedness still meets with opposition—including from one prominent psychologist who equates it with infantile negativism, similar to a toddler’s refusal to eat what’s on his plate, and another who claims that left-handed people have average lifespans that are nine years shorter than those who favor the right hand. As Smits reminds us, such speculation is backed by little factual evidence, and the arguments presented by proponents of right-handedness tend to be humorously absurd. The Puzzle of Left-handedness is an enlightening, engaging, and entertaining odyssey through the puzzles and paradoxes, theories and myths, of left-handed lore. Chock full of facts and fiction, it’s a book to be read with both hands.
Mercy Thompson is a shapeshifting coyote and honorary member of the Tri-Cities werewolf pack. When the pack stumbles upon the buried bones of numerous dead children, she shapeshifts into a mystery of the legendary fae - a mystery that draws Mercy's stepdaughter Jesse into the fray! The supernatural romance series Mercy Thompson continues in this all-new, original story by New York Times bestselling author Patricia Briggs, exclusively created for the comic book medium!
When a train crash destroys a shipment of mysterious dinosaur bones that might be the source of dragon myths, something forgotten whispers from the past... Judith Mills is a scientist who discovered the bones in the remote North, and determined to save whatever might be left. Creek Morgan is a Native Indian railroad mechanic troubled by nightmares he doesn't understand, while Eva Reed is a grieving young woman whose husband lies comatose in a hospital bed. George Pakuchek is a big-city lawyer working on a case he didn't want, and Neil Dayton is a young man running in terror. In the last moments of a winter night, their lives are changed forever when the freight train carrying the dinosaur bones crashes in an isolated forest. But Creek's elderly great-grandmother remembers disturbing fragments of a Native Indian legend going back to the ancient days of the tribe, and cryptic clues written on an abandoned city apartment wall echo warnings few understand. For a tiny group of ordinary people, courage and compassion will be their only weapons against revenge, corruption and greed. For the Dragon's Keeper is coming, and the line between myth and reality is about to be wiped away forever...
This Element explores the relation between monotheism and fundamentalism. It does so from both an empirical perspective and a more theoretical one that combines theological and philosophical insights. The empirical part addresses how as a matter of fact, particularly quantitively, monotheism and fundamentalism relate to one another. The more theoretical part studies the relation between the two by considering the doctrine of God and the issue of exclusion, theories of revelation, and ethics. Finally, the book considers whether monotheism has particular resources that can be employed in mitigating the consequences of or even altogether preventing fundamentalism. This title is also available as Open Access on Cambridge Core.
Master powerful techniques and approaches for securing IoT systems of all kinds–current and emerging Internet of Things (IoT) technology adoption is accelerating, but IoT presents complex new security challenges. Fortunately, IoT standards and standardized architectures are emerging to help technical professionals systematically harden their IoT environments. In Orchestrating and Automating Security for the Internet of Things, three Cisco experts show how to safeguard current and future IoT systems by delivering security through new NFV and SDN architectures and related IoT security standards. The authors first review the current state of IoT networks and architectures, identifying key security risks associated with nonstandardized early deployments and showing how early adopters have attempted to respond. Next, they introduce more mature architectures built around NFV and SDN. You’ll discover why these lend themselves well to IoT and IoT security, and master advanced approaches for protecting them. Finally, the authors preview future approaches to improving IoT security and present real-world use case examples. This is an indispensable resource for all technical and security professionals, business security and risk managers, and consultants who are responsible for systems that incorporate or utilize IoT devices, or expect to be responsible for them. · Understand the challenges involved in securing current IoT networks and architectures · Master IoT security fundamentals, standards, and modern best practices · Systematically plan for IoT security · Leverage Software-Defined Networking (SDN) and Network Function Virtualization (NFV) to harden IoT networks · Deploy the advanced IoT platform, and use MANO to manage and orchestrate virtualized network functions · Implement platform security services including identity, authentication, authorization, and accounting · Detect threats and protect data in IoT environments · Secure IoT in the context of remote access and VPNs · Safeguard the IoT platform itself · Explore use cases ranging from smart cities and advanced energy systems to the connected car · Preview evolving concepts that will shape the future of IoT security
Campfire Graphic Novels have published more than 70 titles since their introduction to North America in 2010; the line continues to grow at a steady pace, and the range of offerings is expanding. Campfire Graphic Novels feature gorgeous, sophisticated artwork and lush prodcution values. In the 15th Century, most astronomers agreed that the Earth was the centre of the universe. This idea dated back more than 1000 years, to the Greek astronomer Ptolomy, who stated that the Earth was motionless, and that all other heavenly bodies moved in complicated patterns around the Earth. This view became the accepted view of the Catholic Church, an institution so powerful that few would dare to question it. Until Copernicus, Bruno and Galileo... Learn the life stories of these three great minds, their great breakthroughs, right to their final years. This story is about science and religion. About brave individuals vs a powerful institution. But ultimately, it's about mankind as a species learning to grow up. Like a child must one day learn that it's not the most important thing in the world, humanity had to learn its own small place in the vast universe.
This text offers different ways for regarding human interactions with other species, from appealing ones like wolves to less popular ones like snail darters. Society struggles to decide what parts of nature matter and why. Ultimately, it argues, nature is a social product: what shall we make of it?
In the early days 20th century the emerging medium of comics was beginning to grab the attention of children and adults alike. Then, in the 1930s, superheroes revolutionised the entire industry and culture as we know it. Gotham’s caped crusader, The Batman, swung into this pantheon of demi-gods in 1939 and secured his place as one of the world’s most beloved characters. But do know who created The Dark Knight? Do you know how artist Bob Kane, placed himself at the secret origins of Batman while his co-creator Bill Finger was forced into the shadows? Do you know how comic creators, journalists, and family members fought to have Finger credited for his work? The first prose book to focus both on Finger and Kane, as well as cast of supporting characters from one of the most exciting times in comic book history, The Creators of Batman: Bob, Bill and The Dark Knight gathers everything we know about these two monumental figures and lays their stories side by side. Bringing together the story of these two creators against the exciting background of the American comic’s boom and Batman’s Golden Age. It looks at how Finger and Kane constructed the world of Gotham and its denizens, and grapples with the legacy the creators left behind.
Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data. Social Science Research Network has revealed that 65% of people are visual learners. Research data provided by Hyerle (2000) has clearly shown 90% of information in the human brain is visual. Thus, it is no wonder that visual information processing in the brain is 60,000 times faster than text-based information (3M Corporation, 2001). Recently, we have witnessed a significant surge in conversing with images due to the popularity of social networking platforms. The other reason for embracing usage of image data is the mass availability of high-resolution cellphone cameras. Wide usage of image data in diversified application areas including medical science, media, sports, remote sensing, and so on, has spurred the need for further research in optimizing archival, maintenance, and retrieval of appropriate image content to leverage data-driven decision-making. This book demonstrates several techniques of image processing to represent image data in a desired format for information identification. It discusses the application of machine learning and deep learning for identifying and categorizing appropriate image data helpful in designing automated decision support systems. The book offers comprehensive coverage of the most essential topics, including: Image feature extraction with novel handcrafted techniques (traditional feature extraction) Image feature extraction with automated techniques (representation learning with CNNs) Significance of fusion-based approaches in enhancing classification accuracy MATLAB® codes for implementing the techniques Use of the Open Access data mining tool WEKA for multiple tasks The book is intended for budding researchers, technocrats, engineering students, and machine learning/deep learning enthusiasts who are willing to start their computer vision journey with content-based image recognition. The readers will get a clear picture of the essentials for transforming the image data into valuable means for insight generation. Readers will learn coding techniques necessary to propose novel mechanisms and disruptive approaches. The WEKA guide provided is beneficial for those uncomfortable coding for machine learning algorithms. The WEKA tool assists the learner in implementing machine learning algorithms with the click of a button. Thus, this book will be a stepping-stone for your machine learning journey. Please visit the author's website for any further guidance at https://www.rikdas.com/
First published in 1997, the authors of the present volume provide brand new insights and empirical findings in the field of entrepreneurship and small business research. The writers have highlighted three different key themes: entrepreneurship; start-ups and growth and internationalisation. The priority of most countries is growth, competitiveness and employment. In this context, the relevance of promoting the creation of new enterprises and understanding the very nature and development of newly created and existing SMEs is becoming more important today. The role of entrepreneurship and SMEs for economic and social development, welfare and well-being is going to be emphasised more than ever before. The same holds for research in these fascinating fields. This book gives an idea of the state of the art for the time being with its increasing conceptual, methodological and empirical complexity and diversity.
Learn how to use AutoML to leverage Machine Learning for solving business problems KEY FEATURES ● Get familiar with the common machine learning problems and understand how to solve them. ● Understand the importance of different types of data and how to work with them effectively. ● Learn how to use machine learning and AutoML tools to solve real-world problems. DESCRIPTION “Fun with Machine Learning” is an essential guide for anyone looking to learn about machine learning and how it can be used to make informed business decisions. The book covers the basics of machine learning, providing an overview of key concepts and terminology. To fully understand machine learning, it is important to have a basic understanding of statistics and mathematics. The book provides a simple introduction to these topics, making it easy for you to understand the core concepts. One of the key features of the book is its focus on AutoML tools. It introduces you to different AutoML tools and explains how to use them to simplify the data science processes. The book also shows how machine learning can be used to solve real-world business problems, such as predicting customer churn, detecting fraud, and optimizing marketing campaigns. By the end of the book, you will be able to transform raw data into actionable insights with machine learning. WHAT YOU WILL LEARN ● Get a clear understanding of what machine learning is and how it works. ● Learn how to perform regression analysis using Orange. ● Understand how to implement classification In machine learning. ● Get to know more about the clustering and association algorithms. ● Analyze, visualize, manipulate, and forecast time series data with Orange. WHO THIS BOOK IS FOR This book is for Machine Learning engineers, Machine Learning enthusiasts, Data Scientists, beginners, and students who are looking to implement machine learning techniques to solve real-life business problems. It is also a great resource for business leaders who are responsible for making data-driven decisions. TABLE OF CONTENTS 1. Significance of Machine Learning in Today’s Business 2. Know Your Data 3. Up and Running With Analytical Tools 4. Machine Learning in a Nutshell 5. Regression Analysis 6. Classification 7. Clustering and Association 8. Time Series Forecasting 9. Image Analysis 10. Tips and Tricks
Phishing Detection Using Content-Based Image Classification is an invaluable resource for any deep learning and cybersecurity professional and scholar trying to solve various cybersecurity tasks using new age technologies like Deep Learning and Computer Vision. With various rule-based phishing detection techniques at play which can be bypassed by phishers, this book provides a step-by-step approach to solve this problem using Computer Vision and Deep Learning techniques with significant accuracy. The book offers comprehensive coverage of the most essential topics, including: Programmatically reading and manipulating image data Extracting relevant features from images Building statistical models using image features Using state-of-the-art Deep Learning models for feature extraction Build a robust phishing detection tool even with less data Dimensionality reduction techniques Class imbalance treatment Feature Fusion techniques Building performance metrics for multi-class classification task Another unique aspect of this book is it comes with a completely reproducible code base developed by the author and shared via python notebooks for quick launch and running capabilities. They can be leveraged for further enhancing the provided models using new advancement in the field of computer vision and more advanced algorithms.
This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information. Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.
Halbleiter-Leistungsbauelemente sind das Kernstück der Leistungselektronik. Sie bestimmen die Leistungsfähigkeit und machen neuartige und verlustarme Schaltungen erst möglich. In dem Band wird neben den Halbleiter-Leistungsbauelementen selbst auch die Aufbau- und Verbindungstechnik behandelt: von den physikalischen Grundlagen und der Herstellungstechnologie über einzelne Bauelemente bis zu thermomechanischen Problemen, Zerstörungsmechanismen und Störungseffekten. Die 2., überarbeitete Auflage berücksichtigt technische Neuerungen und Entwicklungen.
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