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  • Machine Learning Algorithms : Adversarial Robustness in Signal Processing
    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
    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
    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

    Price: 27.99 £ | Shipping*: 0.00 £
  • Technology Innovation in Manufacturing
    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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  • 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.

  • 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.

  • 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.

  • 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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  • Technology and Innovation Management
    Technology and Innovation Management

    Technology and Innovation Management is one of the most sought-after courses offered like MBA or PGDM in Business Schools and various Technology Institutes, today.This book, written with deep ingrained practical insights and well-researched theoretical foundations integrates people, processes and technology to achieve maximum economic benefits to society.The book is designed to be a compendium for students and managers, who wish to understand technology and innovation management to the core.The book explains the relationship between technology innovation and strategy in a simplified manner.Keeping Indian education framework in mind, this book details on practices and principles that are easy to implement.The theories are simple to grasp, and anecdotal stories on Technology and Innovation implementations make it a student-friendly edition, to help achieve success in exams as well as in the professional front.It further explains the core principles of Technology and Innovation Management.S-Curve and the Segment Zero Principle, adopting industry 4.0 and innovation 4.0 to make India a smart and intelligent manufacturing hub in the era of fourth industrial revolution, design thinking for solving complex business problems along with the role and contribution of Government in Technology Development.

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  • Innovation in Information Technology
    Innovation in Information Technology


    Price: 110.00 £ | Shipping*: 0.00 £
  • Innovation in Music: Technology and Creativity
    Innovation in Music: Technology and Creativity

    Innovation in Music: Technology and Creativity is a groundbreaking collection bringing together contributions from instructors, researchers, and professionals.Split into two sections, covering composition and performance, and technology and innovation, this volume offers truly international perspectives on ever-evolving practices. Including chapters on audience interaction, dynamic music methods, AI, and live electronic performances, this is recommended reading for professionals, students, and researchers looking for global insights into the fields of music production, music business, and music technology.

    Price: 53.99 £ | Shipping*: 0.00 £
  • Patent Law, Green Technology and Innovation
    Patent Law, Green Technology and Innovation

    In the era of modern industrial regimes, the role of technology in tackling climate change is pivotal.International goals of climate change mitigation and sustainable development cannot be achieved without the contribution of new technologies.At the same time, the importance of patent protection and an efficient patent system that facilitates technology transfer among international frontiers cannot be overlooked.Many patented technologies are either not accessible for further dissemination or do not hold much technical value.Therefore, advanced systems of collaborative innovation have been developed, especially in the sector of green technology and green innovation. The environmental concerns of the global community cannot be tackled by a single company, person, sector or country.Innovation partnerships and collaborative research will play a vital role in combating global climate concerns and in determining the diffusion of green technologies for maximum impact.This book argues that policy-makers should encourage partnerships in technology rather than focusing on gaining investment and access to green technology to encourage global technological giants to transfer their technology and knowledge to local entities.It analyzes the relationship between patent protection, green innovation and diffusion of green technology against the backdrop of climate change and severe climate crisis. Taking an interdisciplinary approach to align patent law and green technology with the Sustainable Development Goals, it examines the effects of patent protection, technology transfer and compulsory licensing on the diffusion of green technologies while offering a systematic analysis of the relationship between patent protection, green innovation and diffusion of green technology from a global perspective.

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  • What is the price for a complete gaming PC including gadgets and accessories?

    The price for a complete gaming PC including gadgets and accessories can vary widely depending on the specific components and accessories chosen. A basic gaming PC with mid-range components and essential accessories like a keyboard, mouse, and headset can start at around $800-$1000. However, for a high-end gaming PC with top-of-the-line components, high-resolution monitors, gaming chairs, and other premium accessories, the price can exceed $3000-$4000. It ultimately depends on the individual's budget and preferences for gaming equipment.

  • What is the difference between electronics and technology?

    Electronics refers specifically to devices that operate by controlling the flow of electrons, such as computers, smartphones, and televisions. Technology, on the other hand, is a broader term that encompasses a wide range of tools, systems, and methods used to solve problems or achieve goals. While electronics are a subset of technology, technology includes not only electronic devices but also mechanical, digital, and other types of tools and systems.

  • 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.

  • 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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