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https://teaching.temple.edu/sites/teaching/files/media/document/Evaluating%20the%20Effectiveness%20of%20Turnitin%E2%80%99s%20AI%20Writing%20Indicator%20Model.pdf
Introduction: Turnitin recently developed what they call an “AI writing indicator model” that is intended to help instructors determine if a student has submitted work that is AI-generated. The model is integrated into Turnitin’s existing plagiarism detection software licensed at Temple, and is therefore convenient as it is already embedded in Canvas [1]. The process for using it is ...
https://careers.temple.edu/sites/careers/files/documents/Employee_Manual.pdf
Disclaimer Nothing in this Employee Manual constitutes a contract, express or implied. Temple University, in its sole discretion, may modify, alter, delete, suspend, or discontinue any part or parts of the policies in this manual at any time, with or without prior notice to its employees. Unless otherwise specified, any such change to the Employee Manual shall apply to existing as well as ...
https://scholarshare.temple.edu/server/api/core/bitstreams/613ac8ec-7043-4cf9-af5b-31ae0060d3ba/content
Figure 1.9a shows a simply supported wide-flange beam structure and its load. The plan of the same beam is shown in Figure 1.9b, and the idealization of the beam is shown in Figure 1.9c.
https://cis.temple.edu/~giorgio/cis587/readings/rete.html
(R1 (has-goal ?x simplify) (expression ?x 0 + ?y) ==>....) (R2 (has-goal ?x simplify) (expression ?x 0 * ?y) ==>....) and the following facts: (has-goal e1 simplicity) (expression e1 0 + 3) (has-goal e2 simplicity) (expression e2 0 + 5) (has-goal e3 simplicity) (expression e3 0 * 2) Then the Rete is +----------+ | ENTRANCE | +----------+ x ...
https://scholarshare.temple.edu/bitstreams/a7e8ac09-ba3c-4423-98ed-b3533161c333/download
2.1: The formation of Turkish Sufism (9c – 14c) ............. ...................... 38 2.2: The development of Turkish Sufism (15c – 20c) ...............................85
https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICDE2024_Online_Federated_Learning_on_Distributed_Unknown_Data_Using_UAVs.pdf
For the energy consumption during the learning phase, we set e1 = 0.01J and e2 = 80J [18]. To better align with real-world data collection scenarios, we design fine-grained PoI data models from three perspectives: data distribution, data generation patterns, and data quality.