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Book Masters Theses in the Pure and Applied Sciences

Download or read book Masters Theses in the Pure and Applied Sciences written by Wade H. Shafer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS)* at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dis semination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the though that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volumes were handled by an international publishing house to assure improved service and broader dissemi nation. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 37 (thesis year 1992) a total of 12,549 thesis titles from 25 Canadian and 153 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this impor tant annual reference work. While Volume 37 reports theses submitted in 1992, on occasion, certain uni versities do report theses submitted in previous years but not reported at the time.

Book Masters Theses in the Pure and Applied Sciences

Download or read book Masters Theses in the Pure and Applied Sciences written by W. H. Shafer and published by Springer Science & Business Media. This book was released on 1994 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume 37 (thesis year 1992) reports a total of 12,549 thesis titles from 25 Canadian and 153 US universities (theses submitted in previous years but only now reported are indicated by the thesis year shown in parenthesis). The organization, like that of past years, consists of thesis titles arrange

Book Data Mining for Scientific and Engineering Applications

Download or read book Data Mining for Scientific and Engineering Applications written by R.L. Grossman and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.

Book The Era of Artificial Intelligence  Machine Learning  and Data Science in the Pharmaceutical Industry

Download or read book The Era of Artificial Intelligence Machine Learning and Data Science in the Pharmaceutical Industry written by Stephanie K. Ashenden and published by Academic Press. This book was released on 2021-04-23 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of disciplines and industries, including the pharmaceutical industry. In an environment where producing a single approved drug costs millions and takes many years of rigorous testing prior to its approval, reducing costs and time is of high interest. This book follows the journey that a drug company takes when producing a therapeutic, from the very beginning to ultimately benefitting a patient's life. This comprehensive resource will be useful to those working in the pharmaceutical industry, but will also be of interest to anyone doing research in chemical biology, computational chemistry, medicinal chemistry and bioinformatics. - Demonstrates how the prediction of toxic effects is performed, how to reduce costs in testing compounds, and its use in animal research - Written by the industrial teams who are conducting the work, showcasing how the technology has improved and where it should be further improved - Targets materials for a better understanding of techniques from different disciplines, thus creating a complete guide

Book Machine Learning Algorithms From Scratch with Python

Download or read book Machine Learning Algorithms From Scratch with Python written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2016-11-16 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: You must understand algorithms to get good at machine learning. The problem is that they are only ever explained using Math. No longer. In this Ebook, finally cut through the math and learn exactly how machine learning algorithms work. Using clear explanations, simple pure Python code (no libraries!) and step-by-step tutorials you will discover how to load and prepare data, evaluate model skill, and implement a suite of linear, nonlinear and ensemble machine learning algorithms from scratch.

Book Neural Network Design

Download or read book Neural Network Design written by Martin T. Hagan and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book International Conference on Intelligent Manufacturing

Download or read book International Conference on Intelligent Manufacturing written by Ji Zhou and published by SPIE-International Society for Optical Engineering. This book was released on 1995 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book 1990 Rochester Forth Conference

Download or read book 1990 Rochester Forth Conference written by and published by Institute. This book was released on 1990 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book IJCNN  International Joint Conference on Neural Networks

Download or read book IJCNN International Joint Conference on Neural Networks written by Institute of Electrical and Electronics Engineers and published by . This book was released on 1990 with total page 956 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Optimization of Power System Problems

Download or read book Optimization of Power System Problems written by Mahmoud Pesaran Hajiabbas and published by Springer Nature. This book was released on 2020-01-06 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB. Providing a reliable and secure power and energy system is one of the main challenges of the new era. Due to the nonlinear multi-objective nature of these problems, the traditional methods are not suitable approaches for solving large-scale power system operation dilemmas. The integration of optimization algorithms into power systems has been discussed in several textbooks, but this is the first to include the integration methods and the developed codes. As such, it is a useful resource for undergraduate and graduate students, researchers and engineers trying to solve power and energy optimization problems using modern technical and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical background.

Book Conference Publication

Download or read book Conference Publication written by and published by . This book was released on 1992 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book 1995 IEEE International Conference on Neural Networks

Download or read book 1995 IEEE International Conference on Neural Networks written by and published by . This book was released on 1995 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Documentation Abstracts

Download or read book Documentation Abstracts written by and published by . This book was released on 1997 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book IEEE     International Conference on Neural Networks

Download or read book IEEE International Conference on Neural Networks written by Shun'ichi Amari and published by . This book was released on 1995 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book An Introduction to Neural Network Methods for Differential Equations

Download or read book An Introduction to Neural Network Methods for Differential Equations written by Neha Yadav and published by Springer. This book was released on 2015-02-26 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a variety of neural network methods for solving differential equations arising in science and engineering. The emphasis is placed on a deep understanding of the neural network techniques, which has been presented in a mostly heuristic and intuitive manner. This approach will enable the reader to understand the working, efficiency and shortcomings of each neural network technique for solving differential equations. The objective of this book is to provide the reader with a sound understanding of the foundations of neural networks and a comprehensive introduction to neural network methods for solving differential equations together with recent developments in the techniques and their applications. The book comprises four major sections. Section I consists of a brief overview of differential equations and the relevant physical problems arising in science and engineering. Section II illustrates the history of neural networks starting from their beginnings in the 1940s through to the renewed interest of the 1980s. A general introduction to neural networks and learning technologies is presented in Section III. This section also includes the description of the multilayer perceptron and its learning methods. In Section IV, the different neural network methods for solving differential equations are introduced, including discussion of the most recent developments in the field. Advanced students and researchers in mathematics, computer science and various disciplines in science and engineering will find this book a valuable reference source.

Book Radar 92

    Book Details:
  • Author :
  • Publisher :
  • Release : 1992
  • ISBN :
  • Pages : 576 pages

Download or read book Radar 92 written by and published by . This book was released on 1992 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: