https://guides.temple.edu/qda/qualcoder
QualCoder is free, open source software for qualitative data analysis. It has many of the features of commercial QDA software packages such as auto-coding, coding images and A/V materials, SQL database querying, and many reporting and visualization options.
https://www.fox.temple.edu/sites/fox/files/social-media-isr.pdf
A summary of how this study relates to and differs from the literature is reported in Table A1 in the appendix (available at http://dx.doi.org/10.1287/isre.1120.0462).1 Differ-ent from prior studies, this paper demonstrates how social media has a predictive relationship with firm equity value.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/m48122-zhao%20final.pdf
Model Exploration with PMP and JAP on 4 stages, S1, S2, S3, and S4. 0, 1, Job Job 2, A A and Dependency Dependency 3 in Fig. 1(a) denote Job Job B B Dependency Dependency the index of micro-batches Job Job C C Dependency Dependency in a job, while A0,A1,A2, and A3 denote the stages of job A in a job-array.
https://cis-linux1.temple.edu/~tug29203/25fall-2033/lectures/ch2.pdf
We choose r objects in succession from a population (set) of n distinct objects fa1; a1; ; ang, in such a way that after choosing each object and recording the choice, we return the object to the set before making the next choice.
https://cis.temple.edu/~latecki/Papers/BaiPAMI2019.pdf
XN2 ~A2 a XM2 1⁄4 WggHag a1⁄41 Daa g1⁄41 1=2 ~ATD 1=2HWB 1HTD ~A XN2 1⁄4 1=2 ~A2 a ~ATD 1=2HWB 1HTD ~A a1⁄41
https://cis.temple.edu/~wu/research/publications/Publication_files/Joint%20Dynamic%20Grouping%20and%20Gradient%20Coding%20for%20Time-critical%20Distributed%20Machine%20Learning%20in%20Heterogeneous%20Edge%20Networks-FINAL-VERSION.pdf
in the subset with the smallest sum so far. In the case of subsets with equal sum, c oose any subset until set C is empty. While difference of the integers in set C. The first integer of this tuple is the value in set C and he rest of the i a1, a2, ..., an) and B = (b1, b2, ..., n),
https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICC2024.pdf
Fig. 4: Transition States. TABLE I: Performance with different number of features ... Given the state of the system (st) and the actions in A = {a1, a2, a3, a4}, reward function r is defined as: R(s, a) = α∗D+β∗U +γ∗(1/T)+ω∗(1−F)+ζ ∗M, (2) where D is the detection accuracy, ranging from 0 to 1, where 1 represents perfect accuracy.