https://community.mis.temple.edu/mis2402sec002fall2025/
Department of Management Information Systems, Temple University
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https://klein.temple.edu/student-success/klein-edge
Setting the stage to create the future Klein College of Media and Communication’s Engagement, Development and Growth Experiences office (Klein EDGE) provides students with a centralized hub for experiential learning and professional development programming. Klein EDGE is the cornerstone for Klein Career Services and Klein Global Opportunities (Klein GO), which provides students with the ...
https://sites.temple.edu/rtassessment/files/2018/10/Activities-Specific-Balance-Confidence-ABC-Scale.pdf
The Activities-specific Balance Confidence (ABC) Scale* Instructions to Participants: For each of the following activities, please indicate your level of confidence in doing the activity without losing your balance or becoming unsteady from choosing one of the percentage points on the scale from 0% to 100% If you do not currently do the activity in question, try and imagine how confident you ...
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https://sthm-stage2.temple.edu/current-students/center-for-industry-engagement/
We would like to show you a description here but the site won’t allow us.
https://faculty.cst.temple.edu/~szyld/reports/randCholQR_rev2_report.pdf
In this paper, we first present and analyze a randomized algorithm called randQR for orthogonalizing the columns of a tall-and-skinny matrix with respect to a specific inner product. In order to reduce the cost of the computations, we propose to use “multisketching,” i.e., the use of two consecutive sketch matrices, within randQR. Using randQR with multisketching as a preconditioner for ...
https://cis.temple.edu/tagit/
We are the Temple AGI Team. We do research and experiments in the field of Artificial General Intelligence. Team meetings occur each Wednesday on Zoom. We welcome outside collaborators to get involved in various ways. Feel free to explore our various links & resources and contact us.
https://cis.temple.edu/~yu/research/mobicomPOS06-bo.pdf
ABSTRACT In this work, we present SilentSense, a framework to authenticate users silently and transparently by exploiting the user touch behav-ior biometrics and leveraging the integrated sensors to capture the micro-movement of the device caused by user’s screen-touch ac-tions. By tracking the fine-detailed touch actions of the user, we build a “touch-based biometrics” model of the ...