Machine Learning for Cyber-Physical Systems : Selected papers from the International Conference ML4CPS 2023
Oliver Niggemann
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AI-Assisted Writing and Presenting in English
Adrian Wallwork
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Advances in Human Activity Detection and Recognition (HADR) Systems
Santosh Kumar Tripathy
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Reinforcement Learning for Reconfigurable Intelligent Surfaces : Assisted Wireless Communication Systems
Alice Faisal
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Societal Impacts of Artificial Intelligence and Machine Learning
Carlo Lipizzi
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Explainable Ambient Intelligence (XAmI) : Explainable Artificial Intelligence Applications in Smart Life
Tin-Chih Toly Chen
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Feature Models : AI-Driven Design, Analysis and Applications
Alexander Felfernig
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The Inevitable Ai : Art Of Growth With Generative Intelligence
Aswin Chandarr
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HowExpert Guide to Artificial Intelligence : 101+ Lessons to Explore Technologies, Impact, and the Evolutionary Journey in the AI Revolution
Howexpert
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Le d?veloppement de nouvelles g?n?rations de puces pour les applications d'IA sur les smartphones
Peter Mayall
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Kwantowe światy : Rewolucja obliczeniowa i jej wplyw na naszą przyszlośc
Alexander Garcia
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Leveraging Technology for Property Tax Management in Asia and the Pacific : Guidance Note
Asian Development Bank
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Hybrid Intelligence : Proceedings of the 4th International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
Philip F. Yuan
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Advanced Manufacturing and Supply Chain with IoT : Revolutionizing industries through smart technologies and connectivity
Ameya Deshpande
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Learn Data Science from Scratch : Mastering ML and NLP with Python in a step-by-step approach
Pratheerth Padman
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Building Transformer Models with PyTorch 2.0 : NLP, computer vision, and speech processing with PyTorch and Hugging Face
Prem Timsina
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Modern Data Mining with Python : A risk-managed approach to developing and deploying explainable and efficient algorithms using ModelOps
Dushyant Singh Sengar
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Optimizing AI and Machine Learning Solutions : Your ultimate guide to building high-impact ML/AI solutions
Mirza Rahim Baig
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Reinforcement Learning : Aktuelle Ansatze verstehen – mit Beispielen in Java und Greenfoot
Uwe Lorenz
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