https://sites.temple.edu/yongtang/research/
Research Grants: PI, a Subaward of NIH R01GM140476 Co-PI, NSF DMS-2210687 PI, NSF IIS-1546087. PI, NSF SES-1533956. Research interests: methods, theory, and ...
https://klein.temple.edu/directory/tricia-s-jones-tsjones
Tricia S. Jones is a Full Professor in the Department of Communication and Social Influence and Director of the Center for Conflict Management and Media Impact in the Klein College of Media and Communication at Temple University. She is past Vice- President and Member of the Board of Directors of the Association for Conflict Management and past President of the International Association of ...
https://www.fox.temple.edu/sites/fox/files/SHMM_isre.2018.0831.pdf
Abstract. Low engagement rates and high attrition rates have been formidable challenges to mobile apps and their long-term success, especially for those whose revenues derive mainly from in-app purchases. To date, little is known about how companies can sci-entifically detect user engagement stages and optimize corresponding personalized-targeting promotion strategies to improve business ...
https://sites.temple.edu/dwolf/files/2020/06/Plato-on-Pain.pdf
In various passages of his corpus Plato’s dramatic characters discuss pain. With respect to what pain is, including what kinds of pain there are, the most incisive discussions occur at Republic 583-587, Philebus 31-55, and Timaeus 64-65.1 The foci of these passages dif-fer from one another and do so in several ways. First the Republic and Philebus passages focus on pleasure. However Plato ...
https://cis.temple.edu/~latecki/Papers/ICIP2019.pdf
ABSTRACT The extensive computational burden limits the usage of CNNs in mobile devices for dense estimation tasks. In this paper, we present a lightweight network to address this prob-lem, namely LEDNet, which employs an asymmetric encoder-decoder architecture for the task of real-time semantic seg-mentation. More specifically, the encoder adopts a ResNet as backbone network, where two new ...
https://cis.temple.edu/~apal/nfmi_comnet.pdf
Near Field Magnetic Induction (NFMI) based communication is an emerging technology that promises several advantages over the traditional radio frequency (RF) communication including low energy use, ability to work reliably in a variety of difficult propagation media (e.g., water, non-ferromagnetic metals, underground, tissue media of fresh produce & meats, etc.), and low leakage possibility ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206750%20Camera%20Ready%20Version.pdf
1 Introduction Federated learning (FL) [Koneˇcn ́y et al., 2017], a widely-used framework for distributed machine learning, is a signif-icant research focus. Most FL algorithms, such as the clas-sic FedAvg, fall into Synchronous Federated Learning (SFL). They require the server to wait for all selected clients’ lo-cal training and uploads before aggregating updates, and as-sume uniform ...
https://www.fox.temple.edu/sites/fox/files/documents/CVs/rajiv-d-banker-cv.pdf
1997–2003: Ashbel Smith Chair in Accounting and Information Management, Director of Accounting and Information Management Programs, School of Management, The University of Texas at Dallas. Joint appointments in the Accounting and Information Management Area and the Information Systems and Operations Management Area. Executive Director of the Center for Practice and Research in Software ...
https://cis.temple.edu/~latecki/Papers/GIFT-IEEEMM2017.pdf
Abstract—Projective analysis is an important solution in three-dimensional (3D) shape retrieval, since human visual perceptions of 3D shapes rely on various 2D observations from different viewpoints. Although multiple informative and discriminative views are utilized, most projection-based retrieval systems suffer from heavy computational cost, and thus cannot satisfy the basic requirement ...
https://sites.temple.edu/rtwiseowls/files/2013/10/compendium-of-clinical-measures-for-community-rehabilitation.pdf
Contents of the compendium This Compendium contains a suite of outcome measures for use in community rehabilitation settings, as identified from a systematic review of the literature. This is a synthesis of 28 measures and clinical tests which have been critically appraised and then approved by an expert working group of rehabilitation clinicians.