https://guides.temple.edu/ai-research-tools/reviews
This guide offers advice on AI-powered tools and functionality created for or used in academic research.
https://community.mis.temple.edu/mis5121beaver/files/2015/02/Ex-2-Order-to-Cash-Guide.pdf
Focus Order-to-Cash Cycle and Accounting Entries Test of Transactions Application Controls
https://community.mis.temple.edu/mis5214sec005spring2021/files/2020/03/MIS5214_Unit8_CaseStudy2_Maersk.pdf
Timeline 2016 – Maersk shipping company’s senior system administrators warn company that its network of 80,000+ computers was vulnerable to attack
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://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/~latecki/Papers/Quan_DRBANET_ICIP_2022.pdf
ABSTRACT Due to the powerful ability to encode image details and semantics, many lightweight dual-resolution networks have been proposed in recent years. However, most of them ignore the benefit of boundary information. This paper introduces a lightweight dual-resolution network, called DRBANet, aim-ing to refine semantic segmentation results with the aid of boundary information. DRBANet also ...
https://prd-xeadmin.temple.edu/applicationNavigator/seamless
We would like to show you a description here but the site won’t allow us.
https://law.temple.edu/aer/2022/10/21/one-line-lessons/
The following “one line lessons” for excellence in advocacy were contributed by members of the national trial advocacy listserv. The submissions are organized topically, with the contributors’ names preceding their contributions. CASE THEORY Brett Bayne Shamelessly stolen from Herb Brooks and the 1984 Miracle on Ice, he reportedly strolled the bench behind the players
https://cis.temple.edu/~jiewu/research/publications/Publication_files/ArrayPipe-JLU-Infocom-20250520.pdf
i. A novel parallel scheme (JAP) is introduced to enable a batch of sibling jobs to form a concurrent job-array and to execute concurrently, targeting high throughput model exploration. ii. We design ArrayPipe, a framework to support JAP with low-cost job context switching within a job-array and a GPU-Host memory manager for higher training concurrency. iii. We propose a novel scheduling ...
https://cis.temple.edu/~yu/research/thesis00.pdf
2000 年5月 尽管非特定人的语音识别系统已经达到了令人鼓舞的性能,但是在实际应用时由于说话人和环境的改变通常会使得系统性能显著下降。当遇到特殊口音的说话人,或者环境有一定的噪音时,系统的误识率甚至有可能增加原来的5倍。语音识别要走向实用,就必须克服这个鲁棒性问题,因此语音自 ...