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Dynamic Substructuring & Transfer Path Analysis, Volume 4: Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics, 2025, the fourth volume of twelve from the Conference brings together contributions to this important area of research and engineering.
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This book guides professionals in defending critical infrastructure by bridging IT, OT, and cybersecurity. Using systems engineering... Læs mere
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AI in Education Systems examines global experiences with AI in teaching and learning. Covering large language models, bilingual education, risks... Læs mere
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This book analyzes energy inequalities via EV grid impact, dynamic pricing, energy communities, and household behavior. It also offers data-driven insights on policy, access, affordability, and sustainability for a just energy transition.
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This book is an essential guide for navigating, understanding, and contributing to the dynamic and rapidly evolving field of edge AI.The real... Læs mere
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This is an exploration of humanity's multifaceted crises in the Anthropocene era.It offers an in-depth examination of human-induced challenges with diverse perspectives.
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This book is a comprehensive examination of homelessness,offering insights into its root causes, complex dynamics,and far-reaching consequences.This groundbreaking book explores why homelessness persists in societies today,delving into structural inequities,systemic barriers.
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This book, a curated collection of research work presented at the European Conference on EDGE AI Technologies and Applications (EEAI), serves as both a ledger and a beacon for this exciting new era of edge intelligence-driven technologies.
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Generative AI Explained demystifies LLMs, foundation models, and diffusion networks in simple terms. It covers RAG, fine-tuning, hallucination... Læs mere
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This book explores circular economy in manufacturing waste management, focusing on sustainability, digital technology,... Læs mere
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This book features state-of-the-art artificial intelligence (AI) development and implementation, focusing on recent results and distinguished... Læs mere
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AI-driven Cyber Risk Management explores cutting-edge AI applications in cybersecurity, covering threat detection, fraud prevention, and risk quantification. The book examines machine learning, big data analytics, XAI, and blockchain integration for resilient defense.