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://cis.temple.edu/~yu/research/PPGSpotter-info24.pdf
ccuracy shows a minimal variation (<3%) between the three sensor positions tested. These indicate that image calibration generalizes well and ata size on system perfor-mance by varying the training data size from 50% to 90%. Specifically, we incrementally increase the training data in 5% increments, training the model each time fo
https://cis.temple.edu/~yu/research/HearBP-info24.pdf
We require participants to collect data for experiments under different insertion depths (e.g., 2mm, 4mm, 6mm, 8mm, and 10mm) and rotation angles (e.g., 0 , 30 , 60 , and 90 ).
https://sites.temple.edu/ellmanlab/files/2017/03/Cooper-et-al_2016_Psychiatry-Research.pdf
The PQ, which has high levels of reported internal consistency (α1⁄4 .96, Loewy et al., 2005), has been tested against semi-structured interviews commonly used to identify individuals at risk for psychosis, such as the SIPS (Kline et al., 2012; Loewy et al., 2005; Miller et al., 1999) and has been found to be both reliable and valid in ...
https://scholarshare.temple.edu/bitstreams/1c1f1a6d-0f34-4234-8b39-41d9eeb397f0/download
of machine learning (ML) versus a traditional statistical model in predicting dental caries in
https://cis.temple.edu/~yu/research/FitLoc-infocom16.pdf
In IEEE IPSN, pages 79–90, 2013. [9] Ju Wang, Dingyi Fang, Xiaojiang Chen, Zhe Yang, Tianzhang Xing, and Lin Cai. LCS: Compressive sensing based device-free localization for multiple targets in sensor networks. In IEEE INFOCOM, pages 145–149, 2013. [10] M A Kanso and M G Rabbat.
https://cph.temple.edu/directory/gabriella-maria-mcloughlin-tup42340
J Clin Transl Sci, 8 (1), e8. England. 10.1017/cts.2023.695 Singleton, C.R., Wright, L.A., McDonald, M., Archer, I.G., Bell, C.N., McLoughlin, G.M., Houghtaling, B., Stowers, K.C., & Steeves, E.A. (2023). Structural racism and geographic access to food retailers in the United States: A scoping review. Health Place, 83, 103089.
https://scholarshare.temple.edu/bitstreams/a2613b3b-7574-4918-9889-30404f1bad78/download
ortho-position of the arene, forming either a 5- or 6-memebered benziodoxole or benziodoxolone ring, and a datively-bound N-ligand in the form of an aromatic heterocycle.50Due to ring strain, the C–I–X angle of the benziodoxole is approximately 80° which is a distortion from the desired angle in a T-shaped geometry (90°) (1.33; Figure 1.4).
https://cis.temple.edu/~wu/research/publications/Publication_files/ICDE2024_Xu.pdf
We propose a joint game framework for caching and pricing (i.e., MFG-CP), in which each EDP can directly customize its optimal caching strategy and pricing policy without knowing other EDPs’ strategies, states, trading prices, and sharing effects.
https://cis.temple.edu/~latecki/Papers/SDM09_Final.pdf
Outlier detection techniques can be categorized into several groups: (1) statistical or distribution-based ap-proaches; (2) geometric-based approaches; (3) pro ̄ling methods; and (4) model-based approaches. In statisti-cal techniques [2, 3], the data points are typically mod-eled using a data distribution, and points are labeled as outliers depending on their relationship with the dis ...