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Anais do V Congresso Sertanejo de Computação Explorando Fronteiras: Tendências, Desafios e Inovações na Integração da Inteligência Artificial e Tecnologias Educacionais
O V Congresso Sertanejo de Computação foi uma imersão profunda nas fronteiras da inovação educacional e tecnológica. Nesta edição, destacamos pesquisas relevantes que abordam desde a influência da inteligência artificial no ensino de programação até a análise preditiva de casos de permanência em instituições de ensino. Com foco especial em temas como jogos sérios, bibliotecas multimídia e soluções anti-ataques cibernéticos, o congresso ofereceu uma plataforma única para explorar os avanços mais recentes, desafios e tendências que moldam o cenário da computação no contexto sertanejo. Mergulhamos em debates sobre equidade, transparência, tecnologias emergentes e soluções inovadoras, enquanto traçamos um panorama abrangente das últimas pesquisas e práticas na interseção entre a educação e a tecnologia da informação.
Efficient Learning Machines
Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques. Mariette Awad and Rahul Khanna’s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine learning. Their experiential emphasis, expressed in their close analysis of sa...
Food Science and Technology
This brand new comprehensive text and reference book is designed to cover all the essential elements of food science and technology, including all core aspects of major food science and technology degree programs being taught worldwide. Food Science and Technology, supported by the International Union of Food Science and Technology comprises 21 chapters, carefully written in a user-friendly style by 30 eminent industry experts, teachers and researchers from across the world. All authors are recognised experts in their respective fields, and together represent some of the world’s leading universities and international food science and technology organisations. Expertly drawn together, produ...
Ecological Informatics
Ecological Informatics promotes interdisciplinary research between ecology and computer science on elucidation of principles of information processing in ecosystems, ecological sustainability by informed decision making, and bio-inspired computation. The 2nd edition of the book consolidates the scope, concepts, and techniques of this newly emerging discipline by a new preface and additional chapters on cellular automata, qualitative reasoning, hybrid evolutionary algorithms and artificial neural networks. It illustrates numerous applications of Ecological Informatics for aquatic and terrestrial ecosystems, image recognition at micro- and macro-scale as well as computer hardware design. Case studies focus on applications of artificial neural networks, evolutionary computation, cellular automata, adaptive agents, fuzzy logic as well as qualitative reasoning. The 2nd edition of the book includes an index with novel evolutionary algorithms for the discovery of multiple nonlinear functions and rule sets as well as parameter optimisation in complex ecological data.
Practical Time Series Forecasting with R
"Practical time series forecasting with R is a hands-on introduction to quantitative forecasting of time series. Quantitative forecasting is an important component of decision making in a wide range of areas and across many business functions including economic forecasting, workload projections, sales forecasts, and transportation demand ... The book introduces readers to the most popular statistical models and data mining algorithms used in practice. It covers issues relating to different steps of the forecasting process, form goal definion through data collection, visualization, pre-processing, modeling, performance evaluation to implementation and communication."--Back cover.
100 Statistical Tests
Expanded and updated, the Third Edition of Gopal Kanji's best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. The Third Edition now includes: - a new introduction to statistical testing with information to guide even the non-statistician through the book quickly and easily - real-world explanations of how and when to use each test with examples drawn from wide range of disciplines - a useful Classification of Tests table - all the relevant statistical tables for checking critical valu.
Neural Computing
This book for nonspecialists clearly explains major algorithms and demystifies the rigorous math involved in neural networks. Uses a step-by-step approach for implementing commonly used paradigms.
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