https://ira.temple.edu/sites/ira/files/documents/exam-services/Math-Placement-Practice-Information.pdf
To help you prepare for the Math Placement Assessment, we have included in this document practice questions as well as additional websites students may access prior to taking the ALEKS Math Placement Assessment. Additionally, once you take an initial assessment in ALEKS, you are able to complete ALEKS Learning Modules to help improve your skills.
https://cis.temple.edu/~latecki/Papers/cvpr00.pdf
Abstract The Core Experiment CE-Shape-1 for shape descriptors performed for the MPEG-7 standard gave a unique oppor-tunity to compare various shape descriptors for non-rigid shapes with a single closed contour. There are two main dif-ferences with respect to other comparison results reported in the literature: (1) For each shape descriptor, the exper-iments were carried out by an institute ...
https://cis.temple.edu/~yu/research/FitLoc-infocom16.pdf
In this paper, we propose, FitLoc, a fine-grained and low cost DfL approach that can localize multiple targets in various areas. By taking advantage of the compressive sensing (CS) theory, FitLoc decreases the deployment cost by collecting only a few of RSS measurements and performs a fine-grained localization. Further, FitLoc employs a rigorously designed transfer scheme to unify the radio ...
https://cis.temple.edu/~wu/research/publications/Publication_files/Topology-Aware_Scheduling_Framework_for_Microservice_Applications_in_Cloud.pdf
Abstract—Loosely coupled and highly cohesived microservices running in containers are becoming the new paradigm for application development. Compared with monolithic applications, applications built on microservices architecture can be deployed and scaled independently, which promises to simplify software development and operation. However, the dramatic increase in the scale of microservices ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf
Abstract—Edge caching is a promising approach to reduce duplicate content transmission in Internet-of-Vehicles (IoVs). Sev-eral Reinforcement Learning (RL) based edge caching methods have been proposed to improve the resource utilization and reduce the backhaul trafic load. However, they only obtain the local sub-optimal solution, as they neglect the influence from environments by other ...
https://hope.temple.edu/sites/hope/files/media/document/Digital%20Mental%20Health%20Interventions_5.29.2024.pdf
This guide is intended to help higher education leaders make informed decisions about selecting DMHIs. DMHIs refer to the use of digital technologies for mental health support, prevention, and treatment. DMHIs provide behavioral and psychological strategies through technological features, including websites, mobile applications (“apps”), wearables, virtual reality, and online platforms.