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 ...
https://cis.temple.edu/~yu/research/HearBP-info24.pdf
Abstract—Continuous blood pressure (BP) monitoring using wearable devices has received increasing attention due to its importance in diagnosing diseases. However, existing methods mainly measure BP intermittently, involve some form of user effort, and suffer from insuficient accuracy due to sensor properties. In order to overcome these limitations, we study the BP measurement technology ...
https://www.fox.temple.edu/academics/fox-phd/admissions
A Complete Application to the Fox School of Business PhD Program includes: Current Resume / C.V. Personal Statement of Goals Two References (to be completed online by your recommenders) English language transcripts from all post-secondary institutions attended. Unofficial transcripts are acceptable for application review. Official GMAT / GRE Results (test results cannot be more than five years ...
https://ronlevygroup.cst.temple.edu/courses/2016_fall/biost5312/lectures/biostat_lecture_02.pdf
The level of prostate-specific antigen (PSA) in the blood is frequently used as a screening test for prostate cancer. Assuming that each PSA+ and PSA− participant (or at least a representative sample of PSA+ and PSA− participants) is evaluated for the presence of prostate cancer. All PVs can be calculated from counting frequency directly.
https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/NLDimRed.pdf
Linear Dimensionality Reduction: Based on a linear projection of the data
https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/RandomFields_Sarah.pdf
Stochastic processes as Dynamic Bayesian Networks Dynamic Bayesian Network is a probabilistic graphical model that represents a sequence of random variables and their conditional dependencies.
https://sites.temple.edu/dwolf/files/2020/06/Platos-Epistemology.pdf
Introduction Knowledge is a central topic in Plato’s dialogues. The reason for this is ethical. Plato thinks that the pursuit of a good life requires the pursuit of knowledge. The reasons for that are diverse. For example, in many dialogues, Plato has his main and favored character Socrates argue in various ways that knowledge constitutes human goodness. Elsewhere, for example, in Philebus ...
https://community.mis.temple.edu/mis5206sec701fall2022/files/2022/08/Risk-IT-Framework-2nd-Edition_fmk_Eng_0620-1.pdf
Risk IT Task Force Steven Babb, CRISC, CGEIT, ITIL, MUFG Investor Services, United Kingdom Urs Fischer, CISA, CRISC, CPA (Swiss), UBS Business Solutions AG ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICC2024.pdf
It uses reinforcement learning techniques to make informed decisions that maximize the expected rewards. 2)Detection Model: the RL agent updates the intrusion detection model based on the rewards received and the observed states of the network.
https://cis.temple.edu/~wu/research/publications/Publication_files/Cloudnet-2023-final.pdf
Three-stage collaborative pipeline and offloading ¡ Local, communication, remote (Cloud)