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Gesamtkatalog

Catalogue complet

Lu J: Generative AI-assisted Agile
Course, Project-Based Teaching and Lear

Generative AI-assisted Agile Course, Project-Based Teaching and Learning

1 Introduction: generative AI-assisted education 2 Generative AI-assisted agile course design and practice 3 Generative AI-assisted project-based teaching 4 Generative AI-assisted project-based learning 5 Generative AI-assisted project-based evaluation design and practice 6 Prospects: generative AI-assisted course, teaching and learning

Augmented and Virtual Reality in Healthcare

Combining Human Thinking and Creativity with Technology to Inspire Audiences

Authentic Marketing

Postdevelopmental Approaches to Childhood

Postdevelopmental Approaches to Challenging Myths and Misconceptions in Early Childhood Art

Enhancing Reflective Teaching in Higher Education

Redefining Teaching and Learning

GenAI in Higher Education

Building A Culture of Teamwork and Trust

Empowering Library Staff and Customers

Deep Learning in Computer Vision

An expert compilation of on-device training techniques, regulatory frameworks, and ethical considerations of TinyML design and development In Tiny Machine Learning: Design Principles and Applications, a team of distinguished researchers delivers a comprehensive discussion of the critical concepts, design principles, applications, and relevant issues in Tiny Machine Learning (TinyML). Expert contributors introduce a new low power resource, offering vast applications in IoT devices with system-algorithm co-design. Tiny Machine Learning explores TinyML paradigms and enablers, TinyML for anomaly detection, and the learning panorama under TinyML. Readers will find explanations of TinyML devices and tools, power consumption and memory in IoT microcontrollers, and lightweight frameworks for TinyML. The book also describes TinyML techniques for real-time and environmental applications. Additional topics covered in the book include: <ul> <li>A thorough introduction to security and privacy techniques for TinyML devices, including the implementation of novel security schemes</li> <li>Incisive explorations of power consumption and memory in IoT MCUs, including ultralow-power smart IoT devices with embedded TinyML</li> <li>Practical discussions of TinyML research targeting microcontrollers for data extraction and synthesis</li> </ul> Perfect for industry and academic researchers, scientists, and engineers, Tiny Machine Learning will also benefit lecturers and graduate students interested in machine learning.

Tiny Machine Learning: Design Principles and Applications

Methods, Applications, and Implications

Adaptive AI in Sensor Informatics

A Path to Sustainable Development Goals

AI and ML Techniques in IoT-based Communication

Medical Robots and Devices: New Developments and Advances

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice explores the transformative role of AI and data science in enhancing precision medicine, predictive analytics, and medical practice. The book covers diverse topics such as AI-driven personalized medicine, seizure prediction through EEG analysis, and the application of chaos theory in AI-driven healthcare. The volume also delves into medical practice and education, including ethical considerations, AI-driven supply chain management, and clinical documentation using natural language processing. Furthermore, it examines AI's role in telemedicine, patient engagement, and adherence, offering innovative solutions to improve healthcare delivery and outcomes.

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice

Understand how to embrace and embed artificial intelligence into your public relations and communications practice and strategy with this how-to guide.

A How-To Guide for Implementation and Management

AI for Public Relations

Generative AI-assisted Agile Course, Project-Based Teaching and Learning

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