Organizational and direct support maintenance manual : data processing unit CP-1435/MYQ-4, (NSN 7010-01-092-2549).

Includes index.

Operator's manual : automated data processing system AN/MYQ-4A, (NSN 7010-01-158-5397).

Includes indexes.

Organizational and direct support maintenance manual : automated data processing system AN/MYQ-4A (NSN 7010-01-158-5397).

"13 May 1985"--[Vol. 2].

Salary administration for data processing personnel.

Mode of access: Internet.

An association scheme for artificial intelligence.

Cover title.

Company investigations of automatic data processing.

Mode of access: Internet.

Management influence on the design of data processing systems, a case study.

Mode of access: Internet.

Automatic data-processing systems;

Mode of access: Internet.

Considerations in the selection of security measures for automatic data processing systems /

"Contributed to the Federal Information Processing Standards Task Group 15 - Computer Systems Security" -t.p.

100 years of data processing : the punchcard century /

Mode of access: Internet.

Navy Center for Applied Research in Artificial Intelligence.

Cover title.

Spacelab data processing facility : users' guide.

Cover title.

Submodular Optimization and Data Processing

Thesis (Ph.D.)--University of Washington, 2016-06

Modelling and improving maintenance decisions:Having foresight with simulation and artificial intelligence

Machine breakdowns are one of the main sources of disruption and throughput fluctuation in highly automated production facilities. One element in reducing this disruption is ensuring that the maintenance team responds correctly to machine failures. It is, however, difficult to determine the current practice employed by the maintenance team, let alone suggest improvements to it. 'Knowledge based improvement' is a methodology that aims to address this issue, by (a) eliciting knowledge on current practice, (b) evaluating that practice and (c) looking for improvements. The methodology, based on visual interactive simulation and artificial intelligence methods, and its application to a Ford engine assembly facility are described. Copyright © 2002 Society of Automotive Engineers, Inc.