Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Advances in Knowledge Discovery and Data Mining
The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classifica...
Advances in Knowledge Discovery and Data Mining
The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classifica...
Surface Finishing Theory and New Technology
This book focuses on the theory and techniques of free abrasive tool finishing technology. Providing analytical methods and practical technical references for the engineers involved in surface-finishing processes, it significantly contributes to improving part quality and performance while also promoting further developments in surface finishing technology. Combining a highly systematic approach, readability and novel content, it is a valuable resource for researchers and graduates working in mechanical engineering fields, especially in surface finishing.
Advances in Knowledge Discovery and Data Mining
The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classifica...
A General History of Chinese Art
This volume investigates the artistic development during the Qing Dynasty, the last of imperial Chinese dynasties, and shows the importance of opera and playwriting during this time period. Further analysis is dedicated to the development of scroll painting and the revival of calligraphy and seal carving. A General History of Chinese Art comprises six volumes with a total of nine parts spanning from the Prehistoric Era until the 3rd year of Xuantong during the Qing Dynasty (1911). The work provides a comprehensive compilation of in-depth studies of the development of art throughout the subsequent reign of Chinese dynasties and explores the emergence of a wide range of artistic categories such as but not limited to music, dance, acrobatics, singing, story telling, painting, calligraphy, sculpture, architecture, and crafts. Unlike previous reference books, A General History of Chinese Art offers a broader overview of the notion of Chinese art by asserting a more diverse and less material understanding of arts, as has often been the case in Western scholarship.
Surface Finishing Technology and Surface Engineering
Volume is indexed by Thomson Reuters CPCI-S (WoS). Enhancing the surface finish and integrity of engineered components is increasingly important; particularly for the parts used in electronic and optical devices and systems. Significant progress has been made, in recent years, in developing new and advanced surface-finishing technologies as well as acquiring a fundamental understanding of the surface finishing technologies in order to predict, control and optimise surface-finishing processes. The aim of this special volume was to bring together the latest know-how of academic researchers and industrial engineers and present the latest developments and applications in advanced precision surface finishing and de-burring technologies.
Numerical Methods in Geotechnical Engineering
An overview of recent developments in constitutive modelling, numerical implementation issues, and coupled and dynamic analysis. There is a special section dedicated to the numerical modelling of ground improvement techniques, with applications of numerical methods for solving practical boundary value problems, such as deep excavations, tunne
Advances in Spatio-Temporal Analysis
Developments in Geographic Information Technology have raised the expectations of users. A static map is no longer enough; there is now demand for a dynamic representation. Time is of great importance when operating on real world geographical phenomena, especially when these are dynamic. Researchers in the field of Temporal Geographical Information Systems (TGIS) have been developing methods of incorporating time into geographical information systems. Spatio-temporal analysis embodies spatial modelling, spatio-temporal modelling and spatial reasoning and data mining. Advances in Spatio-Temporal Analysis contributes to the field of spatio-temporal analysis, presenting innovative ideas and examples that reflect current progress and achievements.
Digital Watermarking for Machine Learning Model
Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard to intellectual property rights (IPR). Model watermarking methods are proposed to embed watermarks into the target model, so that, in the event it is stolen, the model’s owner can extract the pre-defined watermarks to assert ownership. Model watermarking methods adopt frequently used techniques like backdoor training, multi-task learning, decision boundary analysis etc. to generate secret conditions that constitute model watermarks or fingerprints only known to model owners. These methods have little or no effect on model performance, wh...
