Current Research and Development in Scientific Documentation
Author | : National Science Foundation (U.S.). Office of Scientific Information |
Publisher | : |
Total Pages | : 688 |
Release | : 1966 |
Genre | : |
ISBN | : |
Download Adaptive Modelling Of Likelihood Classification full books in PDF, epub, and Kindle. Read online free Adaptive Modelling Of Likelihood Classification ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : National Science Foundation (U.S.). Office of Scientific Information |
Publisher | : |
Total Pages | : 688 |
Release | : 1966 |
Genre | : |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 730 |
Release | : 1980 |
Genre | : Aeronautics |
ISBN | : |
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Author | : Daniel N. Cassenti |
Publisher | : Springer |
Total Pages | : 531 |
Release | : 2018-06-26 |
Genre | : Technology & Engineering |
ISBN | : 3319942239 |
This book focuses on computational modeling and simulation research that advances the current state-of-the-art regarding human factors in this area. It reports on cutting-edge simulators such as virtual and augmented reality, on multisensory environments, and on modeling and simulation methods used in various applications, including surgery, military operations, occupational safety, sports training, education, transportation and robotics. Based on the AHFE 2018 International Conference on Human Factors in Simulation and Modeling, held on July 21–25, 2018, in Orlando, Florida, USA, the book serves as a timely reference guide for researchers and practitioners developing new modeling and simulation tools for analyzing or improving human performance. It also offers a unique resource for modelers seeking insights into human factors research and more feasible and reliable computational tools to foster advances in this exciting research field.
Author | : William L. Fehlman |
Publisher | : Springer Science & Business Media |
Total Pages | : 297 |
Release | : 2009-06-13 |
Genre | : Technology & Engineering |
ISBN | : 1848825099 |
Mobile robots require the ability to make decisions such as "go through the hedges" or "go around the brick wall." Mobile Robot Navigation with Intelligent Infrared Image Interpretation describes in detail an alternative to GPS navigation: a physics-based adaptive Bayesian pattern classification model that uses a passive thermal infrared imaging system to automatically characterize non-heat generating objects in unstructured outdoor environments for mobile robots. The resulting classification model complements an autonomous robot’s situational awareness by providing the ability to classify smaller structures commonly found in the immediate operational environment.