Products related to Robustness:
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Machine Learning Algorithms : Adversarial Robustness in Signal Processing
This book demonstrates the optimal adversarial attacks against several important signal processing algorithms.Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal the robustness of the signal processing algorithms against adversarial attacks.Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing.Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks. The authors in this book mainly examine the adversarial robustness of three commonly used machine learning algorithms in signal processing respectively: linear regression, LASSO-based feature selection, and principal component analysis (PCA).As to linear regression, the authors derive the optimal poisoning data sample and the optimal feature modifications, and also demonstrate the effectiveness of the attack against a wireless distributed learning system.The authors further extend the linear regression to LASSO-based feature selection and study the best strategy to mislead the learning system to select the wrong features.The authors find the optimal attack strategy by solving a bi-level optimization problem and also illustrate how this attack influences array signal processing and weather data analysis.In the end, the authors consider the adversarial robustness of the subspace learning problem.The authors examine the optimal modification strategy under the energy constraints to delude the PCA-based subspace learning algorithm. This book targets researchers working in machine learning, electronic information, and information theory as well as advanced-level students studying these subjects.R&D engineers who are working in machine learning, adversarial machine learning, robust machine learning, and technical consultants working on the security and robustness of machine learning are likely to purchase this book as a reference guide.
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Model Predictive Control for AC Motors : Robustness and Accuracy Improvement Techniques
This book introduces how to improve the accuracy and robustness of model predictive control.Firstly, the disturbance observation- and compensation-based method is developed.Secondly, direct parameter identification methods are developed.Thirdly, the seldom-focused-on issues such as sampling and delay problems are solved in this book.Overall, this book solves the problems in a systematic and innovative way. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com
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Building Responsible AI Algorithms : A Framework for Transparency, Fairness, Safety, Privacy, and Robustness
This book introduces a Responsible AI framework and guides you through processes to apply at each stage of the machine learning (ML) life cycle, from problem definition to deployment, to reduce and mitigate the risks and harms found in artificial intelligence (AI) technologies.AI offers the ability to solve many problems today if implemented correctly and responsibly.This book helps you avoid negative impacts – that in some cases have caused loss of life – and develop models that are fair, transparent, safe, secure, and robust. The approach in this book raises your awareness of the missteps that can lead to negative outcomes in AI technologies and provides a Responsible AI framework to deliver responsible and ethical results in ML.It begins with an examination of the foundational elements of responsibility, principles, and data.Next comes guidance on implementation addressing issues such as fairness, transparency, safety, privacy, and robustness.The book helps you think responsibly while building AI and ML models and guides you through practical steps aimed at delivering responsible ML models, datasets, and products for your end users and customers.What You Will LearnBuild AI/ML models using Responsible AI frameworks and processesDocument information on your datasets and improve data qualityMeasure fairness metrics in ML modelsIdentify harms and risks per task and run safety evaluations on ML modelsCreate transparent AI/ML modelsDevelop Responsible AI principles and organizational guidelinesWho This Book Is ForAI and ML practitioners looking for guidance on building models that are fair, transparent, and ethical; those seeking awareness of the missteps that can lead to unintentional bias and harm from their AI algorithms; policy makers planning to craft laws, policies, and regulations that promote fairness and equity in automated algorithms
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Knowledge Preservation and Curation
In order to achieve its full value, knowledge must flow and be continuously used.Knowledge use, reuse, and repurposing has been a challenge discussed in knowledge sciences literature for over three decades.Based on a review of research and conversations with business stakeholders, the authors investigate and offer solutions to two key challenges - preserving and curating knowledge. Knowledge Preservation and Curation focusses on business value and processes rather than traditional legal and financial requirements, and further, explores preservation and curation in known and unknown business futures.Real-world examples from cutting-edge private and public sector organizations are included, and give unique insight into the world of knowledge management.
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How good is the durability and robustness of tattoos?
Tattoos are generally considered to be quite durable and robust, as they are designed to be permanent markings on the skin. The longevity of a tattoo can vary depending on factors such as the quality of the ink, the skill of the tattoo artist, and how well the tattoo is cared for during the healing process and beyond. While tattoos can fade over time due to factors like sun exposure and aging, they are generally considered to be a long-lasting form of body art.
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Which engine is better in terms of technology robustness: 4Mix or 2Mix?
In terms of technology robustness, the 4Mix engine is generally considered to be better than the 2Mix engine. The 4Mix engine is a four-stroke engine that combines the benefits of both two-stroke and four-stroke engines, resulting in improved fuel efficiency, reduced emissions, and smoother operation. It also has a more complex design and additional components, which contribute to its overall robustness and durability compared to the simpler 2Mix engine. Overall, the 4Mix engine is a more advanced and technologically robust option for various applications.
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Which flowers are known for their robustness and can withstand strong winds well?
Some flowers known for their robustness and ability to withstand strong winds well include sunflowers, marigolds, and lavender. These flowers have sturdy stems and roots that help them stay upright in windy conditions. Additionally, their thick foliage and strong structure make them more resilient to the elements.
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Which horse breed do you find better to keep in terms of robustness, susceptibility to diseases, and attention to feeding?
In terms of robustness, susceptibility to diseases, and attention to feeding, I find that draft horse breeds such as the Percheron or Belgian are better to keep. These breeds are known for their strength and hardiness, making them less susceptible to certain health issues. They also have a lower risk of developing metabolic disorders and are generally easy keepers, requiring less feed and maintenance compared to other breeds. Additionally, their larger size and strong build make them well-suited for heavy work and pulling tasks.
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Tagging Freedom
Out of the revolutions across the Arab world comes this inspirational story of hope, freedom, and belonging, perfect for fans of Other Words for Home and A Good Kind of Trouble. Kareem Haddad of Damascus, Syria, never dreamed of becoming a graffiti artist.But when a group of boys from another town tag subversive slogans outside their school, and another boy is killed while in custody, Kareem and his friends are inspired to start secretly tag messages of freedom around their city. Meanwhile, in the United States, his cousin, Samira, has been trying to make her own mark.Anxious to fit in at school, she joins the Spirit Squad where her natural artistic ability attracts the attention of the popular leader.Then Kareem is sent to live with Sam’s family, and their worlds collide.As graffitied messages appear around town and all eyes turn to Kareem, Sam must make a choice: does she shy away to protect her new social status, or does she stand with her cousin? Informed by her time as a journalist, author Rhonda Roumani's Tagging Freedom is a thoughtful look at the intersection between art and activism, infused with rich details and a realistic portrayal of how war affects and inspires children, similar to middle grade books for middle schoolers by Aisha Saeed, The Night Diary by Veera Hiranandi, or Refugee by Alan Gratz.
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Tagging Freedom
Out of the revolutions across the Arab world, comes this inspirational story of hope, freedom, and belonging, perfect for fans of Other Words for Home and A Good Kind of Trouble. Kareem Haddad of Damascus, Syria, never dreamed of becoming a graffiti artist.But when a group of boys from another town tag subversive slogans outside their school, and another boy is killed while in custody, Kareem and his friends are inspired to start secretly tagmessages of freedom around their city. Meanwhile, in the United States, his cousin, Samira, has been trying to make her own mark.Anxious to fit in at school, she joins the Spirit Squad where her natural artistic ability attracts the attention of the popular leader.Then Kareem is sent to live with Sam’s family, and their worlds collide.As graffitied messages appear around town and all eyes turn to Kareem, Sam must make a choice: does she shy away to protect her new social status, or does she stand with her cousin? Informed by her time as a journalist, author Rhonda Roumani's Tagging Freedom is a thoughtful look at the intersection between art and activism, infused with rich details and a realistic portrayal of how war affects and inspires children, similar to middle grade books for middle schoolers by Aisha Saeed, The Night Diary by Veera Hiranandi, or Refugee by Alan Gratz.
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Photography, Curation, Criticism : An Anthology
This unique collection brings together the work of photography writer, curator, and lecturer, Liz Wells, reflecting on key themes of landscape, place, nationhood, and environmental concerns.A newly written introductory chapter contextualizes the collection.This is followed by an ‘in conversation’ with Martha Langford, Concordia University, Montreal, that brings together two leading figures in the field to respond to Wells’ thought and the themes that emerge in her writings.The essays included in this anthology draw on work from a variety of sources including artists’ photobooks, exhibition catalogues, magazines, academic books, and journals.Seventeen previously published articles, organized thematically in relation to Curation and Residency, Phenomena, Place, and Critical Reflections, demonstrate Wells’ critical and curatorial approach to research through photographic practices, reflecting a core view of art (at its best) operating to convey the implications of what is being explored and to evoke responses that are simultaneously sensory and intellectual.This collection will be essential reading for students and scholars of photography, visual culture, and art history, especially those examining landscape and environmental photography.
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How can I prevent photo curation on Apple?
To prevent photo curation on Apple, you can disable the "For You" tab in the Photos app. This tab uses machine learning to curate and display your photos in different categories. To disable it, go to the Photos app, tap on the "For You" tab, and then tap on the "See All" button. From there, tap on the three-dot icon in the top right corner and select "Turn off For You." This will prevent the app from curating your photos.
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What is C networking?
C networking refers to the use of the C programming language to develop networking applications. C is a powerful and efficient language that allows developers to create low-level network programming code for tasks such as socket programming, data transmission, and network protocol implementation. C networking is commonly used in the development of network servers, clients, and other network-related applications due to its speed and flexibility in handling network communication. By using C for networking, developers have fine-grained control over network operations and can optimize performance for specific networking tasks.
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Is tagging art or vandalism?
Tagging can be seen as both art and vandalism, depending on the context and intention behind it. Some view tagging as a form of artistic expression and a way to beautify urban spaces, while others see it as a form of vandalism that defaces property and contributes to urban blight. Ultimately, the perception of tagging as art or vandalism is subjective and can vary from person to person.
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How many millimeters when tagging?
When tagging, it is recommended to use a font size of at least 3 millimeters to ensure readability and visibility. This size allows the tag to be easily seen and understood from a distance, making it more effective in conveying the intended message. Additionally, using a larger font size can help prevent any confusion or misinterpretation of the tag.
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