The Internet is a powerful channel that presents new opportunities for touching
customers, enriching products and services with information, squeezing out costs
through process automation, and redesigning internal business processes through
enhanced communication and knowledge sharing. In…

by Kimberly G. Waters., Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002., Includes bibliographical references (p. 45-46).

El Noreste de la provincia de Buenos Aires corresponde a un ambiente llano con pendientes muy bajas, donde tienen gran relevancia los movimientos verticales del agua, resultando de especial interés los procesos de recarga ya que constituyen la principal fuente…

An important tool for teaching is used at University of Alicante: the virtual campus. We think that information and communication technologies can help us to improve our teaching. Last year, we prepared some materials for our students and checked whether…

Los modelos gráficos probabilísticos, tales como las redes bayesianas y los diagramas de influencias permiten representar de forma coherente el conocimiento de un dominio bajo condiciones de incertidumbre. Están basados en los fundamentos de la teoría de la probabilidad y…

Despite recent progress in materials synthesis, there are few materials with narrow pore size distributions and well-defined pore structures in the size range of 100 - 500 A. Materials with pores of 100 - 500 A possess a potential combination…

2013

Neste trabalho discutimos percepções e práticas de moradores e
produtores, e expressões destas, e também percepções sobre as intervenções de
organizações públicas, civis e de empresas agropecuárias e ambientais, sobre
usos e cuidados com os recursos naturais, em especial a…

Many of today's products are so complex that no single company has all the necessary knowledge about either the product or the required processes to completely design and manufacture them in-house. As a result, most companies are dependent on others…

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.…