https://scholarshare.temple.edu/bitstream/handle/20.500.12613/7150/Udoeyo-Textbook-2020.pdf?sequence=1
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https://scholarshare.temple.edu/items/4f3c3aff-9683-48f0-abbd-b37bb2147b45
This dissertation examines the link between sovereignty, law, community and (il)legal violence in 20th/21st century Mexican narratives associated with drug trafficking themes. The field of biopolitics provides ample pathways to explore the intersection of these concepts as they are portrayed in contemporary Mexican literature, music and film. Combining the theories of Michel Foucault, Roberto ...
https://cph.temple.edu/directory/jingwei-wu-tug30693
Biography Jingwei Wu is an associate professor and primary research faculty of the Biostatistics Core Center in the Department of Epidemiology and Biostatistics at Temple University College of Public Health. He is also an affiliate faculty member of Temple University’s Center for Obesity Research and Education (CORE). He teaches both introductory and advanced biostatistics core courses for ...
https://cis.temple.edu/~giorgio/cis587/readings/id3-c45.html
Introduction ID3 and C4.5 are algorithms introduced by Quinlan for inducing Classification Models, also called Decision Trees, from data.
https://cis.temple.edu/~hughes/cs3223c24.html
Comparative analysis of algorithms and data structures. Data structures include heaps, priority queues, binary and general trees, binary search trees, and graphs. Algorithms include heapsort, topological sort, breadth-first search, depth-first search, shortest path algorithms, and Greedy algorithms. NOTE: For Computer Science Majors. COURSE CONTENT (Syllabus) See CANVAS page ATTENDANCE
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https://liberalarts.temple.edu/directory/dustin-kidd
Professor Dustin Kidd was featured in CNN article On social media, everything from Lady Gaga to knee-high Converse sneakers is a ‘recession indicator’.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/MM_2025_UAV_CR.pdf
Abstract In UAV applications, dense haze severely obscures small ground-level objects, hindering the recovery of fine details. Existing visible-only dehazing methods struggle with such dense occlusions, while infrared imaging lacks color and fine texture information. To ad-dress these limitations, we propose the Haze Distribution-aware Cross-modal Fusion Network (HDCFN). HDCFN features two key ...
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