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https://cis-linux1.temple.edu/~tug29203/25fall-2033/lectures/ch1-1.pdf
As a result of extensive observation of dice games, the French gambler de Mere noticed that the total number of spots showing on three dice thrown simultaneously turns out to be 11 (the event A1,) more often than it turns out to be 12 (the event A2), although from his point of view both events should occur equally often: A1 occurs in just six ...
https://igem.temple.edu/products/software/popgen
iGEM researchers are pursuing a variety of interdisciplinary research and discovery projects
https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedHAN.pdf
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients Xiaoding Wang1 , Bin Ye1 , Li Xu1 , Lizhao Wu1 , Sun-Yuan Hsieh2 , Jie Wu3;4 and Limei Lin1 1College of Computer and Cyber Security, Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou 350117, China 2Department of ...
https://cst.temple.edu/news/2023/05/biotech-entrepreneur-vaccine-leader-charles-tsan-jian-chen-receive-honorary-degree-cst-graduation-ceremony
Charles Tsan-Jian Chen, a world leader and entrepreneur in the biotech industry with more than four decades of accomplishments in developing, producing and implementing forefront vaccine and diagnostic technologies benefiting human and animal health, will be awarded an honorary doctoral degree from Temple University at the College of Science and Technology's graduation ceremony on Friday, May ...
https://community.mis.temple.edu/mis5214sec005spring2021/files/2020/03/MIS5214_Unit8_CaseStudy2_Maersk.pdf
Unit #8 MIS 5214 Case Study 2 – Cyberattack: The Maersk Global Supply-Chain Meltdown
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 ...
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