Architecting Google Cloud Solutions: Learn to design robust and future-proof solutions with Google Cloud technologies, Dantas Victor

Автор: Dantas Rhawi
Название: Netbeans Ide 7 Cookbook
ISBN: 1849512507 ISBN-13(EAN): 9781849512503
Издательство: Неизвестно
Рейтинг:
Цена: 41370.00 T
Наличие на складе: Нет в наличии.

Автор: Carlos Henrique De Azevedo Farias, Azevedo Farias Pedro Dantas Fernandes, Fernandes Jose Dantas Neto, Neto
Название: Manejo de gua e zinco em cana-de-a car
ISBN: 6202043024 ISBN-13(EAN): 9786202043021
Издательство: Неизвестно
Рейтинг:
Цена: 30170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Posf cio: Nesta obra voc encontrar os resultados de uma pesquisa premiada pela Sociedade Brasileira de Engenharia Agr cola (SBEA) como a melhor Tese de Doutorado na rea de irriga o no ano de 2007. A pesquisa aborda as tr s principais an lises no contexto sucroenerg tico: A an lise da produ o, a an lise da qualidade da mat ria prima na industria e a an lise da viabilidade econ mica dos tratamentos aplicados ao experimento. Numa vis o hol stica do setor sucroenerg tico os autores conseguem, nesta pesquisa, desenvolver, em uma linguagem simples e ao mesmo tempo cient fica, algo que at ent o n o havera sido decifrado para a cultura da Cana-de-a car no Nordeste brasileiro: A viabilidade econ mica da irriga o face ao tratamento com zinco. Utilizando-se de matem tica avan ada foi desenvolvido, a partir de dados experimentais criteriosamente extra dos do campo de produ o da Miriri Alimentos e Bioenergia S/A. Os resultados apontam para um avan o do conhecimento em irriga o de Cana-de-a car com l mina plena; o trabalho permite a aplicabilidade de seus resultados na pr tica do dia-a-dia do produtor rural. Gilberto da Cruz G. Neto - Dir. Ger. IFAL Santana do Ipanema/AL.

Автор: Byron Leite Dantas Bezerra, Cleber Zanchettin, Alejandro H Toselli, Giuseppe Pirlo
Название: Handwriting: Recognition, Development & Analysis
ISBN: 1536119377 ISBN-13(EAN): 9781536119374
Издательство: Nova Science
Рейтинг:
Цена: 257650.00 T
Наличие на складе: Невозможна поставка.
Описание: This book has the primary goal of presenting and discussing some recent advances and ongoing developments in the Handwritten Text Recognition (HTR) field, resulting from works done on different HTR-related topics for the achievement of more accurate and efficient recognition systems. Nowadays, there is an enormous worldwide interest in HTR systems, which is mostly driven by the emergence of new portable devices incorporating handwriting recognition functions. Others interests are the biometric identification systems employing handwritten signatures, as well as the requirements from cultural heritage institutions like historical archives and libraries in order to preserve their large collections of historical (handwritten) documents. The book is organised into two sections: the first one is mainly devoted to describing the current state-of-the-art applications in HTR and the last advances in some of the steps involved in HTR workflow (that is, pre-processing, feature extraction, recognition engines, etc.), whereas the second focuses more on some relevant HTR-related applications. In more depth, the first part offers an overview of the current state-of-the-art applications of HTR technology and introduces the new challenges and research opportunities in the field. Besides, it provides a general discussion of currently ongoing approaches towards solving the underlying search problems on the basis of existing methods for HTR in terms of both accuracy and efficiency. In particular, there are chapters especially focused on image thresholding and enhancement, text image pre-processing techniques for historical handwritten documents and feature extraction methods for HTR. Likewise, in line with the breakout success of Deep Neural Networks (DNNs) in the field, a whole chapter is devoted to describing the designing of HTR systems based on DNNs. Finally, a chapter listing the most used benchmarking datasets for HTR is also included, providing detailed information about which types of HTR systems (on/offline) and features are commonly considered for each of them. In the second part, several systems also developed on the basis of the fundamental concepts and general approaches outlined in the first part -- are described for several HTR-related applications. Presented in the corresponding chapters, these applications cover a wide spectrum of scenarios: mathematical formulae recognition, scripting language recognition, multimodal handwriting-speech recognition, hardware design for online HTR, student performance evaluation through handwriting analysis, performance evaluation methods, keyword spotting, and handwritten signature verification systems. Last but not least, it is important to remark that to a large extent, this book is the result of works carried out by several researchers in the Handwritten Text Recognition field. Therefore, it owes credit to these researchers that have directly contributed to their ideas, discussions and technical collaborations, and in general who, in one manner or another, have made it possible.

Автор: Garcia Dantas, Ana Quested, Eleanor
Название: Effect of assessment feedback on dancers` motivation
ISBN: 3668691169 ISBN-13(EAN): 9783668691162
Издательство: Неизвестно
Рейтинг:
Цена: 67250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.