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https://sites.temple.edu/yangyang/%E4%B8%AD%E6%96%87%E9%A1%B5%E9%9D%A2/
中文介绍 杨旸博士是美国天普大学(Temple University)体育、旅游与酒店管理学院正教授，博士生导师，系主任，同时担任美亚旅游与酒店研究中心的执行主任。作为旅游经济与分析领域的顶尖研究者，杨博士专注于旅游增长与需求建模、酒店行业的选址与财务分析以及旅游与酒店业中的大数据应用。杨 ...
https://cis.temple.edu/~wu/teaching/Spring2020_CIS5644_Distributed_Computing/distributed-computing-2020-notes-1.pdf
A distributed system is collection of independent computers that appear to the users of the system as single computer.
https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf
Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...
https://cis.temple.edu/~ingargio/cis67/software/koffman/Chapter1/
Fig1_11-12
https://cphapps.temple.edu/wiki/it/office/applications
Licensed softwareAvailable at discounted pricing
https://sites.temple.edu/owltech/
OWLtech, Temple’s new technology store in Pearson Hall on Main Campus, held its grand opening April 18, 2019. It was a huge success and fun was had by all, as you can see from the photos and videos below. For more information on the OWLtech store, such as hours and product information, please visit the shopowltech.com website. OWLtech Grand Opening
https://scholarshare.temple.edu/bitstreams/b1ecc345-7a7c-4776-a366-9b5585e714d6/download
Results: phylotree.js is a library that extends the popular data visualization framework d3.js, and is suitable for building JavaScript applications where users can view and interact with phylogenetic trees. The effects of such interactions can be captured and communicated to other package components, making it possible to engineer complex and responsive applications that include phylogenetic ...
https://sites.temple.edu/ticlj/files/2017/02/30.1.Scharre-TICLJ.pdf
Paul Scharre* Much of the debate on autonomous weapons presumes a choice between human versus autonomous decision-making over targeting and engagement decisions. In fact, in many situations, human-machine teaming in engagement decisions will not only be possible but preferable. Hybrid human-machine cognitive architectures will be able to leverage the precision and reliability of automation ...
https://scholarshare.temple.edu/bitstream/handle/20.500.12613/4727/LAURETTI_temple_0225E_14256.pdf;sequence=1
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