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AI and ML Techniques in IoT-based
Communication

AI and ML Techniques in IoT-based Communication

A Path to Sustainable Development Goals

Vital information on AI, ML, and 5G, and implementing these topics for cellular network design and optimization AI for Design and Optimization of Cellular Networks focuses on the intersection of cellular communications and AI, discussing current advances, key concepts, challenges, opportunities, and lifecycle management. Divided into two parts, the first part provides the background of AI and cellular communications, exploring the challenges that are associated with creation, deployment, operation, and maintenance of systems for the design and optimization of cellular networks. The second part explains the process of network planning, design, and optimization of cellular networks, including examples and use cases in each area. The second part also discusses the application of AI to energy saving, the challenges that operators face, and a glimpse of future trends for AI, cellular networks, and their related NDO (Network Design and Optimization) activities. The book also includes coverage of AI-powered design technologies, performance characterization of advanced antenna systems, propagation predictions, and more. With heavy contribution from industry professionals at Ericsson, AI for Design and Optimization of Cellular Networks includes detailed information on: Evolution of cellular communications from the early GSM days until today, with special emphasis on the arrival of 5G and its implications compared with LTESupervised, unsupervised, semi-supervised, and reinforcement learning with an intuitive focus, covering their distinctive characteristicsDifferent types of digital twins, their fundamental properties, their suitability for design and optimization of cellular networks, and using them together with AI techniquesTransition from traditional network performance management and operations towards an AI-driven combination of control loops An informed and timely exploration of key developments and challenges by those who work on the frontline, AI for Design and Optimization of Cellular Networks is an essential resource for professionals working in cellular communications and AI, providing a one-of-a-kind blend of practical and theoretical information.

AI for Design and Optimization of Cellular Networks

Hybrid Computational Intelligence for Pattern Analysis and Understanding

Applications in Data Exploration

Multilevel Quantum Metaheuristics

Building and Deploying AI Applications at Scale

ML and Generative AI in the Data Lakehouse

Progress In Data Science

Ubiquitous Laplacian: An Introduction To Numerical Pdes With Applications In Data Science

Harnessing Artificial Intelligence to Ensure Diverse Global Teams

Cybersecurity for Healthcare Systems in the Internet of Medical Things Era

How AI Learned to Talk and What It Means

These Strange New Minds

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

Creativity in the Age of AI

What Art Is Now

The Deep Learning Revolution

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

Applications in R and Python

Essentials of Big Data Analytics

AI and ML Techniques in IoT-based Communication

Weitere Titel zum Thema