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Laura F. Newell M.D.,Jonathan A. Gutman M.D.,Colleen Delaney M.D., M.Sc.at a relatively long distance in any conditions (including low-light or adverse weather). (2) The boundary of the occluded vehicle could be recovered. (3) Vehicles are still detectable even if they are turned off. (4) The implementation is relatively simple. The evaluation results have shown that th

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Terry B. Gernsheimer M.D.,Meghan Delaney DO, PMHisruption when connecting to 802.11 WLAN points. It details the application of stochastic tools to analyzing communication networks, as well as previous literature on handover latency and relevant mathematical modeling. Finally, it presents a scheme for monitoring traffic congestion using WLAN conne

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Steven A. Pergam M.D., MPH,Debra K. Mattson PA-C,Michael Boeckh M.D.op within one-hour time slots. The results demonstrate that machine learning algorithms consistently outperform average-based techniques: the machine learning algorithms exhibit a significant improvement (up to 50% compared to the baseline) when demand uncertainty is greater. The proposed methodolog

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op within one-hour time slots. The results demonstrate that machine learning algorithms consistently outperform average-based techniques: the machine learning algorithms exhibit a significant improvement (up to 50% compared to the baseline) when demand uncertainty is greater. The proposed methodolog

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tions of successful treatment.?? .?Edited and written by experts at the Fred Hutchinson Cancer Research Center.?Clinically focused and comprehensive coverage of treatment approaches.?Allogeneic transplant addressed in detail.?Separate chapters on supportive care and long-term complications .978-1-62703-908-6978-1-60761-565-1

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The Detection and Significance of Minimal Residual Disease,