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PLACAR: a maior revista brasileira de futebol. Notícias, perfis, entrevistas, fotos exclusivas.
PLACAR: a maior revista brasileira de futebol. Notícias, perfis, entrevistas, fotos exclusivas.
Este livro contém os fundamentos e bases gerais de criação da Medicina Orofacial no Brasil.
PLACAR: a maior revista brasileira de futebol. Notícias, perfis, entrevistas, fotos exclusivas.
Registro dos primeiros 75 anos de história da Dana no Brasil, relacionando os movimentos históricos, econômicos e costumes com o desenvovlimento da indústria automobiistica e da empresa.
PLACAR: a maior revista brasileira de futebol. Notícias, perfis, entrevistas, fotos exclusivas.
This book presents a selection of papers from the 2017 World Conference on Information Systems and Technologies (WorldCIST'17), held between the 11st and 13th of April 2017 at Porto Santo Island, Madeira, Portugal. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges involved in modern Information Systems and Technologies research, together with technological developments and applications. The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Software and Systems Modeling; Software Systems, Architectures, Applications and Tools; Multimedia Systems and Applications; Computer Networks, Mobility and Pervasive Systems; Intelligent and Decision Support Systems; Big Data Analytics and Applications; Human–Computer Interaction; Ethics, Computers & Security; Health Informatics; Information Technologies in Education; and Information Technologies in Radiocommunications.
Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles. It begins with an introduction to XAI and its importance in developing autonomous vehicles. It also provides an overview of the challenges and limitations of traditional black-box AI models and how XAI can help address these challenges by providing transparency and interpretability in the decision-making process of autonomous vehicles. The book then covers the state-of-the-art techniques and methods for XAI in autonomous vehicles, including model-agnostic approaches, post-hoc explana...