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The importance of representation: What Disney’s Black Little Mermaid ...

https://news.temple.edu/news/2023-05-17/importance-representation-what-disney-s-first-black-live-action-princess-means-film

After 34 years, Disney returns under the sea with its live-action adaptation of The Little Mermaid, premeiring in theaters on May 26. The new version stars Halle Bailey, most known for her role in the Grammy-nominated Chloe x Halle R&B duo, as Ariel in the actress’s first starring feature film role. This casting of a Black woman as the iconic mermaid has made waves.

Building Classification Models: ID3 and C4.5 - Temple University

https://cis.temple.edu/~giorgio/cis587/readings/id3-c45.html

Introduction ID3 and C4.5 are algorithms introduced by Quinlan for inducing Classification Models, also called Decision Trees, from data.

Dr. Ilya V. Buynevich - Temple University | COASTAL GEOLOGY ...

https://sites.temple.edu/coastal/

Event sedimentology and geomorphology* Morphodynamics and evolution of coastal barriers* Peleoecology and taphonomy of indicative mollusks Coastal geoarchaeology and geoforensics* Geological legacy of paleo-channels* Estuarine bedload transport

Optimizing Data-Driven Federated Learning in UAV Networks

https://cis-linux1.temple.edu/~jiewu/research/publications/Publication_files/ICPADS2024.pdf

Abstract—Federated Learning (FL) is an emerging privacy-preserving distributed machine learning paradigm that enables numerous clients to collaboratively train a global model without transmitting private datasets to the FL server. Unlike most existing research, this paper introduces a Data-Driven FL system in Unmanned Aerial Vehicle (UAV) networks, named DDFL, which features an innovative ...

Events & Workshops - Fox School of Business

https://www.fox.temple.edu/institutes-centers/small-business-development-center/events-workshops

The support given by the U.S. Small Business Administration through such funding does not constitute an express or implied endorsement of any of the cosponsor (s)’ or participants’ opinions, findings, conclusions, recommendations, products, or services.

Preventing Plagiarism: Six Strategies that Build Confidence and ... - Sites

https://sites.temple.edu/edvice/2017/03/21/preventing-plagiarism-six-strategies-that-build-confidence-and-deepen-learning/

However, in cases that clearly require disciplinary action, you should consult your chair. Your chair can review the case and advise you on appropriate measures. Let’s Exchange EDvice! What strategies do you use in your teaching to help prepare students for scholarly work and prevent plagiarism?

The Clone Wars: A New Congress Reconsiders the NO FAKES Act to Combat ...

https://www2.law.temple.edu/10q/the-clone-wars-a-new-congress-reconsiders-the-no-fakes-act-to-combat-digital-deepfakes/

Timothy J. Miller (LAW ’23) and Jeffrey N. Rosenthal discuss the legal concerns with vocal AI cloning and the reintroduction of the NO FAKES Act in Congress.

International Applicants - College of Engineering

https://engineering.temple.edu/admissions/graduate-admissions/international-applicants

Please visit the Graduate School's website for a list of approved countries. Applicants seeking an F-1 or J-1 visa must also submit: Certificate of Eligibility Application. This form contains directions on where to submit the application as well as the financial documentation and passport page.

What: The Columbia Avenue Riots (1964) - Temple University

https://exhibits.temple.edu/s/civil-rights-in-a-northern-cit/page/the-columbia-avenue-riots--196

By Hillary S. Kativa Introduction On the night of August 28, 1964, officers Robert Wells and John Hoff responded to a domestic dispute at the corner of 22nd Street and Columbia Avenue. As the officers attempted to resolve the conflict between Odessa Bradford and her husband Rush, the commotion attracted a crowd, which subsequently attacked the police with bricks and other debris. Rumor and ...

Zhanteng Xie, Pujie Xin, and Philip Dames - Sites

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 ...