Multimodal Imaging, Physics-Informed Models, XAI, and LLMs for Electronics and Biomedical Applications

Beschreibung

This book offers a comprehensive introduction and in-depth exploration of the latest advancements in multimodal imaging, physics-informed AI models, explainable artificial intelligence (XAI), and large language models (LLMs). The authors delve into their practical applications in physical inspection and diagnostics across the electronics and biomedical fields, highlighting how these leading-edge technologies are transforming fault detection, defect analysis, and intelligent decision-making. Additionally, this book explores the integration of AI-driven imaging with virtual reality (VR) and simulation-based learning, providing insights into real-time diagnostics, automated inspection, and interactive education. Through detailed discussions, case studies, and emerging trends, this book serves as a vital resource for researchers, engineers, and professionals seeking to enhance imaging-based AI systems for precision inspection and diagnostics.

• Provides a comprehensive and integrated approach to next-generation imaging and AI-driven decision-making

• Includes use cases, case studies, and deployment strategies to help professionals implement real, AI-driven imaging

• Discusses how AI models can be validated and optimized for regulatory compliance in healthcare and electronics

This book offers a comprehensive introduction and in-depth exploration of the latest advancements in multimodal imaging, physics-informed AI models, explainable artificial intelligence (XAI), and large language models (LLMs). The authors delve into their practical applications in physical inspection and diagnostics across the electronics and biomedical fields, highlighting how these leading-edge technologies are transforming fault detection, defect analysis, and intelligent decision-making. Additionally, this book explores the integration of AI-driven imaging with virtual reality (VR) and simulation-based learning, providing insights into real-time diagnostics, automated inspection, and interactive education. Through detailed discussions, case studies, and emerging trends, this book serves as a vital resource for researchers, engineers, and professionals seeking to enhance imaging-based AI systems for precision inspection and diagnostics.

• Provides a comprehensive and integrated approach to next-generation imaging and AI-driven decision-making

• Includes use cases, case studies, and deployment strategies to help professionals implement real, AI-driven imaging

• Discusses how AI models can be validated and optimized for regulatory compliance in healthcare and electronics

Autor*in

Navid Asadizanjani

Themen in »Multimodal Imaging, Physics-Informed Models, XAI, and LLMs for Electronics and Biomedical Applications«

Multimodal imaging AI Physics-informed AI models Explainable AI in imaging Large language models for diagnostics AI-driven physical inspection Biomedical imaging with AI

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