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Critical Infrastructure Ransomware Attacks (CIRA) – CARE Lab ...

https://sites.temple.edu/care/cira/

In September 2019, we started a dataset of Critical Infrastructures Ransomware Attacks (CIRAs). These are based on publicly disclosed incidents in the media or security reports. This dataset (version 12.15) now has 2,119 records assembled from publicly disclosed incidents between November 2013 and March 31, 2025, and has been mapped to the MITRE ATT&CK Framework. To date, we have fulfilled ...

ABSTRACT - Temple University

https://cis.temple.edu/~yu/research/thesis00.pdf

本文从说话人自适应技术入手讨论了语音自适应的各种方法。通过对说话人引起的声学差异的讨论,我们分析和实现了两种常用的说话人自适应方法:最大后验概率(MAP )方法和最大似然线性回归(MLLR)方法。实验证明这两种自适应方法对说话人自适应和环境自适应都有良好效果。

Osher Lifelong Learning Institute - Temple University

https://noncredit.temple.edu/olli

At the Osher Lifelong Learning Institute (OLLI) at Temple University, we offer a vibrant educational experience for individuals ages 50 years and older in Delaware Valley. Our program features a diverse range of in-person, online and hybrid courses, allowing you to shape your own learning journey while fostering meaningful social connections. Discover new interests, expand your knowledge and ...

Moshannon Valley Processing Center - Stephen and Sandra Sheller Center ...

https://law.temple.edu/csj/2024/09/04/moshannan-valley-processing-center/

Today, the Social Justice Lawyering Clinic (SJLC) publishes In the Shadow of the Valley: The Unnecessary Confinement and Dehumanizing Conditions of People in Immigration Detention at Moshannon Valley Processing Center. This report is the first to comprehensively investigate conditions at Moshannon, the largest facility in the Northeast that detains immigrants who are awaiting the processing ...

Prediction of Dental Caries in Pediatric Patients Using Machine ...

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

Ubiquitous quasi-Fuchsian surfaces in cusped hyperbolic 3–manifolds

https://faculty.cst.temple.edu/~dfuter/research/ubiquitous-qf.pdf

We prove that every finite-volume hyperbolic 3–manifold M contains a ubiquitous collection of closed, immersed, quasi-Fuchsian surfaces. These surfaces are ubiq-uitous in the sense that their preimages in the universal cover separate any pair of disjoint, nonasymptotic geodesic planes. The proof relies in a crucial way on the corresponding theorem of Kahn and Markovic for closed 3 ...

LETHAL AUTONOMOUS WEAPONS SYSTEMS (LAWS): - Sites

https://sites.temple.edu/ticlj/files/2017/02/30.1.Meier-TICLJ.pdf

Humanity by Human Rights Watch, lethal autonomous weapons systems (LAWS) have become an issue of national and international attention. With almost daily articles and commentary, including letters by notable scientists, debating the advantages and disadvantages of developing and fielding these systems, the public has become generally more aware of the issues related to autonomy, but it has ...

Temple Law Welcomes Six New Faculty Members - Temple Law

https://law.temple.edu/news/temple-law-welcomes-six-new-faculty-members/

Temple University Beasley School of Law will welcome six new faculty members this fall, bringing added strength and diversity to its already exceptional roster of scholars, educators, and advocates. Rachel López writes, teaches, and practices in the areas of criminal law, public international law, international human rights law, international criminal law, and post-conflict and transitional ...

TileSR: Accelerate On-Device Super-Resolution with Parallel Offloading ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/m37113-chen%20final.pdf

TileSR: Accelerate On-Device Super-Resolution with Parallel Ofloading in Tile Granularity Ning Chen1, Sheng Zhang1∗, Yu Liang2, Jie Wu3, Yu Chen1, Yuting Yan1, Zhuzhong Qian1 and Sanglu Lu1

Piping - Using REDCap - Research Guides at Temple University

https://guides.temple.edu/c.php?g=936400&p=7601206

Piping is a powerful, and relatively simple, tool in REDCap that allows users to insert data previously recorded into instruments, emails, and other locations.