by Tulsi D. Ramchandani., Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2002., "February 2002.", Includes bibliographical references (leaves 135-139).

ABSTRACT: Participatory plant breeding uses a concept that joint formal (official researches institutions) and informal sector (farmers communities), combining the capabilities and the knowledge of both, and farmer's experiences, practices, and preferences. The goal is to join the yield improvement…

Education involves a continuous process of exploration, acquisition, organization, integration and delivery of information and knowledge. In recent years, e-learning sites and applications have exponentially started to grow, being a central phenomenon for the industry and education fields. Key factors…

his dissertation analyzes how local knowledge improves environmental decisions. The premise is that controlling pollution and addressing public health disparities are not problems that professionals alone can solve. Concerned lay publics, especially low-income populations and people of color that experience…

by James William Leigh., Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1984., MICROFICHE COPY AVAILABLE IN ARCHIVES AND DEWEY., Bibliography: leaves 131-134.

by Yasuyuki Sekioka., Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1997., Includes bibliographical references (leaves 128-134).

Descripción completa.

The thesis explores a puzzle in technological capability development: many firms in China follow the "normal" way of technological capability development suggested by the existing literature but have not made much progress, while some firms that deviate from the "normal"…

Effective collaboration is essential for engineers at geographically dispersed locations to accomplish good design with less iteration. Over the last several years, more and more efforts have been put into such research as many industries have distributed their product development…

Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…