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Kumar Ashish: Visual Object Tracking
using Deep Learning

Visual Object Tracking using Deep Learning

Environmental Microbiology

Advanced Biotechnology

Machine Learning and Big Data-enabled Biotechnology

Hybrid Computational Intelligence for Pattern Analysis and Understanding

Applications in Data Exploration

Multilevel Quantum Metaheuristics

Straight Talk About the Inevitable

How Executives Should Think About AI

Medical Robots and Devices: New Developments and Advances

From Technology to Clinical Practice

Robotics for Intervention in Healthcare

Tools and Applications

Internet of Multimedia Things Security

Woodhead Publishing Reviews: Mechanical Engineering Series

Technological progress in composite manufacturing has revolutionized industries such as aerospace, automotive, construction, and sports equipment. These materials boast a compelling combination of high strength-to-weight ratio, corrosion resistance, and design flexibility. Advanced Manufacturing and Joining Technologies for Composite Materials delves into pivotal advancements that have enhanced performance and cost-effectiveness. Automation and robotics have transformed manufacturing processes, with techniques like automated fiber placement and automated tape laying ensuring precise and consistent reinforcement fiber placement. This minimizes human error, improves repeatability, and expedites production. Material science breakthroughs have given rise to smart composites capable of sensing, responding, and adapting to environmental changes. These smart composites find applications in structural health monitoring, shape-shifting structures, and adaptive aerodynamics. The book covers topics not commonly addressed in other references, including automated composite manufacturing, out-of-autoclave curing, nanostructured composites, smart composites, recycling and sustainability, and hybrid composites. Additionally, it addresses the modeling and simulation of composite manufacturing processes and the joining of composite laminates for product development, offering an exciting exploration for readers and learners.

Advanced Manufacturing and Joining Technologies for Composite Materials

Fundamentals and Recent Advances for All Types of Floating PV Systems

Floating PV Systems

A free ebook version of this title is available through Luminos, University of California Press's Open Access publishing program. Visit www.luminosoa.org to learn more. What if we could start over and build the internet from scratch? How could it be rebuilt or reimagined as more equitable and just? For more than eight years, Britt S. Paris investigated alternative internet infrastructure projects, conducting interviews, site visits, and policy analysis. In this expansive and interdisciplinary study, Paris critically examines the myriad and contradictory promises, utility, and obstacles to building a completely new internet.&nbsp;Radical Infrastructure locates and analyzes the boundaries of how people and groups imagine, build, deploy, maintain, and use the internet as they survive-and even dare to thrive in-challenging political, economic, and environmental contexts. Ultimately, Paris encourages active reflection among scholars, policymakers, and activists and reveals more grounded imaginaries, tactics, and opportunities for future people-centered projects.

Imagining the Internet from the Ground Up

Radical Infrastructure

Applications in R and Python

Essentials of Big Data Analytics

Cybersecurity for Healthcare Systems in the Internet of Medical Things Era

This companion volume to Artificial Intelligence: A Guide for Everyone offers a comprehensive exploration of AI analytics, catering to individuals of all backgrounds and expertise levels. It seeks to demystify AI analytics by exploring core concepts, explaining various stages (Descriptive, Diagnostic, Predictive, and Prescriptive), and highlighting their limitations. Through domain-specific applications, it illustrates how AI is utilized across industries for innovation and efficiency, providing dedicated subsections for healthcare, finance, customer support, and more.Artificial Intelligence: Analytics, Platforms, and Risks thoroughly examines the AI infrastructure and ecosystem, offering insights into frameworks, platforms, tools, key players, and the critical hardware and software components supporting AI applications. It also addresses the multifaceted risks and challenges of AI, such as bad data, model selection bias, job displacement, weaponization, and ethical dilemmas, along with strategies to mitigate these risks.&nbsp;Additionally, it discusses the hurdles in AI adoption, including roadblocks, myths, planning complexities, resource requirements, and data and model challenges. Looking ahead, the book explores the future of AI, highlighting catalysts for technological progress, the transformative impact across industries, and emerging trends shaping the field. With the aim of empowering readers to navigate the complexities of AI, harness its potential, and contribute to its responsible and ethical advancement, this book serves as a comprehensive guide to AI technologies.

This companion volume to Artificial Intelligence for Everyone offers a comprehensive exploration of AI analytics, catering to individuals of all backgrounds and expertise levels. It seeks to demystify AI analytics by exploring core concepts, explaining various stages (descriptive, predictive, prescriptive), and highlighting their limitations. Through domain-specific applications, it illustrates how AI is utilized across industries for innovation and efficiency, providing dedicated subsections for healthcare, finance, customer support, and more.Artificial Intelligence: Analytics, Platforms, and Risks thoroughly examines the AI infrastructure and ecosystem, offering insights into frameworks, platforms, tools, key players, and the critical hardware and software components supporting AI applications. It also addresses the multifaceted risks and challenges of AI, such as bad data, model selection bias, job displacement, weaponization, and ethical dilemmas, along with strategies to mitigate these risks. Additionally, it discusses the hurdles in AI adoption, including roadblocks, myths, planning complexities, resource requirements, and data and model challenges. Looking ahead, the book explores the future of AI, highlighting catalysts for technological progress, the transformative impact across industries, and emerging trends shaping the field. With the aim of empowering readers to navigate the complexities of AI, harness its potential, and contribute to its responsible and ethical advancement, this book serves as a comprehensive guide to AI technologies.

Artificial Intelligence: Analytics, Platforms, and Risks

Visual Object Tracking using Deep Learning

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

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