https://cst.temple.edu/laptop-requirements
Laptop requirements Below are suggested recommendations for Macs and PCs. Temple University does not endorse a particular brand or type, but it’s best to select a name-brand manufacturer, such as Apple, Dell, Lenovo, HP or Microsoft. These manufacturers generally use name-brand components and offer reliable warranty and customer support.
https://sites.temple.edu/librarynews/2024/10/10/breaking-down-machismo-the-cultural-shift-towards-healthy-masculinity/
Torn paper written machismo, portuguese and spanish word for chauvism, over wooden background. Old and abandoned idea or practice. Macro photography. Guest Post by Caleigh Clarke, Interpersonal Vio…
https://sites.temple.edu/vocaldevlab/2024/07/26/congratulations-to-our-2024-graduates/
Congrats to Sari Goldstein on her BA in Speech, Language, and Hearing Sciences with a minor in Psychology and certificate in American Sign Language! Best of luck at Gallaudet University for your Masters!
https://www.fox.temple.edu/directory/sue-oh-tue86897
Biography Dr. In-Sue Oh (PhD, Tippie College of Business, University of Iowa) is the Charles E. Beury Professor in the Department of Management at the Fox School of Business, Temple University. His research and teaching interests include personnel selection, meta-analysis, and strategic human resource management. Dr. Oh has published close to 100 scholarly articles, with more than 30 of them ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICDE2024_Online_Federated_Learning_on_Distributed_Unknown_Data_Using_UAVs.pdf
Abstract—Along with the advance of low-altitude economy, a variety of applications based on Unmanned Aerial Vehicles (UAVs) have been developed to accomplish diverse tasks. In this paper, we focus on the scenario of multiple UAVs performing Federated Learning (FL) tasks. Specifically, a group of UAVs is scheduled to repeatedly visit some Points of Interest (PoIs), collect the data produced ...
https://www.fox.temple.edu/directory/connie-xiangdong-mao-cmao
Biography Dr. Connie X. Mao is a Professor of Finance and Seymour Wolfbein Senior Research Fellow at Temple University Fox School of Business. She holds a PhD in Finance from The Johnson School of Management at Cornell University (Ithaca, NY), and a PhD in Biomedical Science from Cornell University Medical School (New York, NY). Her research expertise is corporate finance. Her primary research ...
https://cst.temple.edu/sites/cst/files/documents/EDS%20Oxford-Quantitative-Guide.pdf
Beam Measurement If you require accurate un-normalized quantitative analysis results, you must perform the Beam Measurement routine. Any change in the microscope settings such as accelerating voltage or lens control will lead to the change in the beam current. Under these circumstances you must perform the Beam Measurement routine before you do accurate quantitative analysis.
https://www3.fox.temple.edu/discover/2024/01/19/4-key-skills-employers-seek-in-college-graduates/
Preparing for the job market and harnessing relevant skills is an evolving process, especially in the dynamic technological landscape. In addition to the integration of career-readiness skills formed in the classroom, college students can begin to prepare themselves for employment by developing and growing their skills in these four key areas: 1. Leadership Learning how […]
https://bulletin.temple.edu/graduate/scd/fox/actuarial-science-ms/
About the Program The Fox School of Business and Management has a longstanding tradition of preparing our students with the power to lead within the world of business. Actuaries specialize in the evaluation of insurance and financial risks and distinguish themselves through a combination of analytical skills, business acumen and professionalism. Temple’s Actuarial Science MS program prepares ...
https://cis.temple.edu/~latecki/Papers/ICME2024.pdf
Abstract—Camouflaged object detection (COD) is a challeng-ing task that identifies camouflaged objects from highly similar backgrounds. Existing methods typically treat the whole object equally while neglecting the indistinguishable regions that require more attention than other regions. In this paper, we propose a Fuzzy Boundary-Guided Network (FBG-Net) for camouflaged object detection ...