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» Neural Network Trainer through Computer Networks
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154
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SENSYS
2003
ACM
15 years 10 months ago
Minimal and maximal exposure path algorithms for wireless embedded sensor networks
Sensor networks not only have the potential to change the way we use, interact with, and view computers, but also the way we use, interact with, and view the world around us. In o...
Giacomino Veltri, Qingfeng Huang, Gang Qu, Miodrag...
167
Voted
IPPS
2005
IEEE
15 years 10 months ago
Modeling and Taming Parallel TCP on the Wide Area Network
— Parallel TCP flows are broadly used in the high performance distributed computing community to enhance network throughput, particularly for large data transfers. Previous rese...
Dong Lu, Yi Qiao, Peter A. Dinda, Fabián E....
147
Voted
EUC
2008
Springer
15 years 6 months ago
Analyzing Privacy Designs of Mobile Social Networking Applications
The combined advances of open mobile platforms and online social networking applications (SNAs) are driving pervasive computing to the real-world users, as the mobile SNAs are exp...
Guanling Chen, Faruq Rahman
MOBISYS
2006
ACM
16 years 4 months ago
Using smart triggers for improved user performance in 802.11 wireless networks
The handoff algorithms in the current generation of 802.11 networks are primarily reactive in nature, because they wait until the link quality degrades substantially to trigger a ...
Vivek Mhatre, Konstantina Papagiannaki
153
Voted
AINA
2009
IEEE
15 years 11 months ago
Sector-Based Routing with Destination Location Prediction for Underwater Mobile Networks
Unlike in terrestrial sensor networks where the locations of destination nodes are often assumed to be fixed and accurately known, such assumptions are usually not valid in under...
Nitthita Chirdchoo, Wee-Seng Soh, Kee Chaing Chua