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/~qzeng/cis4360-spring17/papers/An%20Overview%20of%20Cryptography.pdf
Does increased security provide comfort to paranoid people? Or does security provide some very basic protections that we are naive to believe that we don't need? During this time when the Internet provides essential communication between literally billions of people and is used as a tool for commerce, social interaction, and the exchange of an increasing amount of personal information ...
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https://cis.temple.edu/~ingargio/cis67/software/koffman/Chapter1/
Fig1_11-12
https://ibit.temple.edu/dt/the-resource-exchange/
Recently, Temple University students, Sofia Spadotto and Safaniya Paul, worked on a digitization project for The Resource Exchange. Karyn Gerred says… [The business] is an environmentally focused thrift shop, gallery + maker space that saves material from landfill for creative reuse However, the pandemic forced The Resource Exchange to pivot to online sales, and the business needed help ...
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https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf
Abstract—Edge caching is a promising approach to reduce duplicate content transmission in Internet-of-Vehicles (IoVs). Sev-eral Reinforcement Learning (RL) based edge caching methods have been proposed to improve the resource utilization and reduce the backhaul trafic load. However, they only obtain the local sub-optimal solution, as they neglect the influence from environments by other ...
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