https://phlr.temple.edu/our-work/lawatlas
LawAtlas.org is powered by MonQcle, a one-stop-shop legal research software developed by CPHLR to navigate and organize complex legal text to produce legal data that may be used in research and practice.
https://lawgradintl.temple.edu/
First semester of enrollment begins in Philadelphia, and the LL.M. degree is completed at one of our overseas partners in Asia. Applicants must have a first degree in law from a law school in a common law country.
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https://www.tuj.ac.jp/icas/events/2005-01
This lecture invites you to explore the profound world of Noh, one of Japan’s most ancient and revered performing arts, where the boundaries between performance, philosophy, and spirituality dissolve.
https://guides.temple.edu/c.php?g=990083&p=7162366
Policy surveillance, one type of legal mapping, tracks laws and policy over time in multiple jurisdictions and in turn can be used to evaluate those laws and policies’ effects.
http://www.cnc.temple.edu/
Professor Jie Wu, one of his visiting students Sheng Zhang, and Professor Sanglu Lu, both from Nanjing University, P.R. China, were presented with the "Best Paper Runner-Up Award" at IEEE MASS 2012!
https://www.temple.edu/academics/degree-programs/information-technology-auditing-cyber-security-ms-bu-itac-ms
The Information Technology Auditing and Cyber Security MS supports career development by including a capstone course that prepares students for the Certified Information Systems Auditor (CISA) or Certified Information Systems Security Professional (CISSP) one of the following professional certification exams.
https://cis.temple.edu/~ingargio/cis587/readings/wumpus.shtml
The Frame Problem is concerned with the question of what happens to the truth-value of the statements that describe the world as we go from one world to the world resulting by application of an action.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf
This situation may occur because LFU and LRU learn only from one-step past and operate based on simple rules, while RL-based edge caching methods can be derived from the observed historical content demands and concentrate more on the reward that agents can earn rather than users’ requests.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedHAN.pdf
Hence, immediate ac-tion is required once a malicious client is found. One solution involves adjusting model parameters and adding Gaussian noise [Xie et al., 2021; Nguyen et al., 2022], which can coun-teract backdoor attacks, but may reduce model efficiency.