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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lau, R. Demers, S. Yibei Ling Siegell, B. Shrobe, H. Bachrach, J. Vollset, E. Birman, K. van Renesse, R. Foster, L. |
| Copyright Year | 2006 |
| Description | Author affiliation: Telcordia Technol., Inc., Piscataway, NJ (Lau, R.; Demers, S.; Yibei Ling; Siegell, B.) |
| Abstract | Cognitive adaptive radio teams (CART) is a new platform developed by our group in support of collaborative mapping of complex communications-challenged environments, for example in support of search and rescue operations in environments lacking an adequate communications infrastructure. Experience during the 9/11 terrorist attacks, Asian tsunami, Kashmir earthquake, and post-Katrina Gulf Coast make it clear that rescue workers cannot count upon computer networks or even cell telephone support in the immediate aftermath of such events. Similarly, military urban warfare operations must also be conducted in locations lacking communication infrastructure. CART combines state-of-the-art ad-hoc networking technology with machine learning and prediction algorithms to offer new capabilities under these very difficult conditions |
| Starting Page | 842 |
| Ending Page | 847 |
| File Size | 482565 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424406269 |
| DOI | 10.1109/SAHCN.2006.288570 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Collaborative work Terrorism Tsunami Earthquakes Computer networks Telephony Military communication Military computing Machine learning Machine learning algorithms |
| Content Type | Text |
| Resource Type | Article |
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