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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Food Engineering Automation with Robotics and AI
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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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How difficult is a study of robotics and automation?
The study of robotics and automation can be challenging due to its interdisciplinary nature, requiring knowledge in fields such as mechanical engineering, electrical engineering, computer science, and control systems. Additionally, the rapid advancements in technology and the need to stay updated with the latest developments can add to the complexity of the study. However, with dedication, problem-solving skills, and a strong foundation in mathematics and physics, students can overcome these challenges and excel in the field of robotics and automation.
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Industrial Automation and Robotics : Techniques and Applications
This book discusses the radical technological changes occurring due to Industry 4.0, with a focus on offering a better understanding of the Fourth Industrial Revolution.It also presents a detailed analysis of interdisciplinary knowledge, numerical modeling and simulation, and the application of cyber–physical systems, where information technology and physical devices create synergic systems leading to unprecedented efficiency.The book focuses on industrial applications of automation and robotics.It covers recent developments and trends occurring in both computer-aided manufacturing techniques, as well as computer-aided assembly techniques.Robots using embedded systems and artificial intelligence applications are also covered.Industrial Automation and Robotics: Techniques and Applications offers theoretical results, practical solutions, and guidelines that are valuable for both researchers and those working in the area of engineering.
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Robotics and Automation in Healthcare : Advanced Applications
The recent pandemic has forced researchers to adapt technologies such as robotics and AI in the healthcare field.This book, Robotics and Automation in Healthcare: Advanced Applications, explores these new technologies by focusing on important issues related to the employment of robotics and automation in healthcare, such as in medical diagnosis, treatment, and surgery. The volume reviews wireless charging of implantable pacemakers, considers smart bot design for library building of medical colleges, and discusses strain distribution in biomechanical systems.Other topics included in the book are medical imaging, drone technology, 3D printing, and image processing techniques.The application and importance of actuators in medical devices, especially during surgery, is discussed, as are wearable devices for pre-identification of seizure development.The volume also looks at a decision support system for detection of suitable robots and early detection of diseases with the support of image processing techniques.The application of nano-robots in healthcare is also explored. Providing advanced information and insight into robotics, wearable devices, and applications of image processing in healthcare field, this volume will be helpful to those in communications and electronics engineering as well as those at the forefront of smart technology in healthcare.
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Technology Innovation in Manufacturing
This text identifies and discusses different technology innovation initiatives (TIIs) such as entrepreneurial capability, technology infrastructure capability, organizational culture and climate, and government initiatives.It further evaluates the relationship between various technology innovation initiatives and manufacturing performances using multi-criteria decision-making techniques such as fuzzy set theory (FST), structural equation modeling (SEM), and analytic hierarchy process (AHP).It will serve as an ideal reference text for graduate students and academic researchers in the field of industrial engineering, manufacturing engineering, mechanical engineering, automotive engineering. This book:• Discusses technology innovation initiatives such as entrepreneurial capability, technology infrastructure capability, and organizational culture. • Highlights technology innovation-strategy model in assisting manufacturing industries for enhancing their performance in today’s competitive environment. • Examines the effect of technology innovation initiatives on the performance of manufacturing industries. • Covers multi-criteria decision-making techniques such as fuzzy set theory, structural equation modeling, and analytic hierarchy process. • Explores the validation of fuzzy-based technology innovation model through structural equation modeling.
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Mediating Innovation Policy Delivery : The Regional Innovation Centres of Ontario
Report cards and academic scholarship have been critical of innovation policy in Canada.But what if these reports have done a profound injustice to the story of knowledge-driven economic reinvention and the actual transformation taking place in the country?Spotlighting what is happening in cities and regions across Ontario, Mediating Innovation Policy Delivery argues that it is far more nuanced and exciting than what has been captured in scorecards and report cards.The book explores the intermediary institutions, the organizational brokers at the frontline of Canada’s innovation race, that are shepherding the process of economic reinvention in regions large and small. The book draws on case studies to explore three central themes.The first is about innovation, innovation policy, and their delivery systems.The second is that of regions as the frontlines of technological and socioeconomic change in the Canadian federation.The third covers the role of intermediary institutions as innovation platforms, highlighting their triumphs and tribulations as they strategically navigate through the shifting currents of change.The book’s main lessons apply not just to Ontario and Canada but also to other industrialized democracies worldwide.Ultimately, the book advances our knowledge of organizational instruments of innovation policy delivery that operate at the strategic interface between the state, market, and society.
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Is the technical diploma in automation technology difficult?
The difficulty of the technical diploma in automation technology can vary depending on the individual's background, experience, and aptitude for the subject matter. Some students may find the coursework challenging due to the complex concepts and technical skills required, while others with a strong foundation in math, science, and technology may find it more manageable. Overall, dedication, hard work, and a genuine interest in automation technology can help students succeed in completing the program.
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Is the electronics technician for automation technology difficult?
Becoming an electronics technician for automation technology can be challenging, as it requires a strong understanding of electrical systems, programming, and automation technology. The field is constantly evolving, so technicians must stay updated on the latest advancements and technologies. However, with dedication and the right training, individuals can develop the skills and knowledge needed to succeed in this role. It may be difficult at times, but the opportunities for growth and the potential to work on cutting-edge technology make it a rewarding career choice for those passionate about automation.
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How are electronics technicians trained for automation technology?
Electronics technicians are trained for automation technology through a combination of formal education and on-the-job training. They typically complete a post-secondary program in electronics or a related field, where they learn about electrical circuits, digital electronics, and control systems. Additionally, they receive specialized training in automation technology, which includes learning about programmable logic controllers (PLCs), industrial robotics, and process control systems. This training may also involve hands-on experience with automation equipment and systems in a lab or industrial setting. Overall, electronics technicians are trained to understand and troubleshoot the complex systems used in automation technology.
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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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