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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Sustainability, Technology, and Finance : Rethinking How Markets Integrate ESG
This book explores the swiftly emerging nexus between sustainability, finance, and technology. Leading practitioners and academic thought leaders reflect on the ways in which technology and digitalization shape how sustainable finance professionals address environmental, social, and governance (ESG) issues.Together, the contributors identify three spheres in which technology shapes how investors make sense of such issues:ESG and technology: finance professionals need to know about how technological innovations, such as chemical recycling for plastics, in the real economy shape firms’ ESG performance; ESG through technology: technological developments, such as AI and blockchain, can enable finance professionals to offer more fine-grained ESG analyses; andESG as technology: the ESG agenda itself is influenced by technological developments that are not well understood by practitioners (e.g., data mining for Bitcoin creating significant emissions).Using practically relevant examples and recent insights from people working in the field, the book explores the linkages between sustainability, technology, and finance in different contexts and shows how practitioners can accelerate needed change processes.This book primarily addresses practitioners in companies and investment firms as well as students enrolled in executive education and MBA programs.
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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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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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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 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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Fashion and Environmental Sustainability : Entrepreneurship, Innovation and Technology
The wide range of topics that the book covers are organised into sections reflecting a cradle to grave view of how entrepreneurial, innovative, and tech-savvy approaches can advance environmental sustainability in the fashion sector.These sections include: sustainable materials; innovation in design, range planning and product development; sustainable innovations in fashion supply chains; sustainable innovations in fashion retail and marketing; sustainable alternatives for end-of-life and circular economy initiatives; and more sustainable alternative fashion business models.
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Islamic Finance and Sustainability : A Research Companion
This book provides a comprehensive overview of Islamic finance and economics, and how Islamic financial instruments may facilitate environmentally sustainable initiatives. The book surveys the recent developments to design a Shariah-based financial and banking system that is sustainable, efficient, and stable.Contributors focus on green products and financial tools, and how they bolster environmental efforts.Discussions are grouped under themes such as the principles of green finance, financing schemes and impact assessments, as well as country-studies in developing and emerging markets.Together, the book explores the expansion of the global Islamic economy and how Islamic social finance can address the deficiency in green finance inside Islamic nations.Particular attention is paid to the financial instrument of green sukuk, a Sharia-compliant bond that supports projects that protect biodiversity and mitigates the impacts of climate change. It is a comprehensive volume on green finance and Islam that will interest policymakers, researchers and academics of Islamic economics, sustainable finance, and the green economy.
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Sustainability Reporting and Blockchain Technology
This book explores the much talked about but less understood issue of sustainability reporting, in a global context, linking it to the application of blockchain and other emerging technologies.It provides a transnational platform to examine the experiences of investors, researchers, academicians, and policymakers as they confront these concerns across a variety of industries and countries, thus offering best-practice guidance to assess the technological landscape and to model sustainable business initiatives.It offers relevant theoretical frameworks and the latest empirical research findings.Further, it argues that in order to reduce ‘carbon footprints’ globally, by reporting all their emissions through a single blockchain platform, companies can create a standardized space for data to be collected and tracked reliably, allowing for meaningful measurements.The book benchmarks and analyses sustainability performance with respect to numerous laws, norms, codes, performance standards, and voluntary initiatives.It demonstrates how the organization influences and is influenced by expectations about sustainable development and emphasizes the link between financial and non-financial performance, enabling external stakeholders to understand the organization’s true value, along with tangible and intangible assets.It will enable readers to increase their understanding of the potential risks and opportunities and avoid environmental, social, and governance failures.The book provides insight into existing research, practice, and outcomes that could clarify and promote the state of the art on themes such as the drivers for sustainability reporting, Environmental, Social, and Governance goals, the influence of blockchain on sustainability reporting as well as the issues and challenges.The book will be a useful guide for scholars, researchers, students, practitioners, regulators and policymakers alike.
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Organizations and Technology for Sustainability
This book presents insights on digital transformation with a multidisciplinary lens.Collecting chapters from several management perspectives, it provides perspectives on the role of various concepts and elements that are needed by our organizations to win in today’s competition.This book is a contribution to the organizational, to the information and communication technology (ICT) as well as to the sustainability discussion.Here, the readers can find heterogenous inputs to better understand the organizational and technological aspects considering a sustainable business approach.This book is for academicians, students and practitioners interested in the interplay among IT-based solutions, organizational entities and sustainability issues.
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'Music or art?'
Both music and art are forms of expression that can evoke powerful emotions and connect people on a deep level. While music has the ability to transcend language barriers and directly impact our emotions, art allows for visual interpretation and can stimulate creativity and imagination. Ultimately, the choice between music and art comes down to personal preference and the individual's unique connection to each form of expression.
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What is Food Technology 2?
Food Technology 2 is an advanced course that builds upon the foundational knowledge and skills gained in Food Technology 1. It delves deeper into the principles of food science, food processing, and food safety, while also exploring advanced techniques in food production and preservation. Students in Food Technology 2 may have the opportunity to work on more complex projects, such as developing new food products or optimizing food manufacturing processes. Overall, the course aims to provide students with a more comprehensive understanding of the food industry and the technological advancements driving innovation in food production.
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Do fashion designers have to travel?
Yes, fashion designers often have to travel for various reasons. They may need to attend fashion shows, visit fabric suppliers, meet with manufacturers, or seek inspiration from different cultures and locations. Traveling allows them to stay updated on the latest trends, connect with industry professionals, and gain new perspectives that can influence their designs. Overall, travel is an important aspect of a fashion designer's career.
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What well-paid jobs are related to mathematics, finance, or fashion?
Some well-paid jobs related to mathematics include actuary, data scientist, and financial analyst. These roles often require strong analytical and problem-solving skills, as well as a deep understanding of mathematical concepts. In the finance industry, positions such as investment banker, financial manager, and risk manager are highly paid and require a strong foundation in mathematics and finance. In the fashion industry, careers such as fashion designer, merchandising manager, and retail buyer can be lucrative, especially for those with a strong understanding of business and finance.
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