Search Keywords

Results Restricted To:

https://www.temple.edu

Total Results: 78

Lecture 6 – Chapter 3 TCP flow and congestion control

https://cis.temple.edu/~tug29203/19spring-5617/lectures/ch3-3.pdf

Lecture 6 – Chapter 3 TCP flow and congestion control CIS 5617, Fall 2019 Anduo Wang Based on Slides created by JFK/KWR

Zhanteng Xie, Pujie Xin, and Philip Dames - Sites

https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf

Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...

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

Publications of Xifan Wu – Research group of Xifan Wu - Sites

https://sites.temple.edu/xifanwu/publications-of-xifan-wu/

Xifan Wu, Eric J. Walter, Andrew M. Rappe, Roberto Car and Annabella Selloni, Hybrid density functional calculations of the band gap of Ga x In 1-x N, Physical Review B 80, 115201 (2009).

Edo Airoldi | Fox School of Business | Fox School of Business

https://www.fox.temple.edu/directory/edo-airoldi-tuj91381

Biography Edoardo M. Airoldi is the Millard E. Gladfelter Professor of Statistics and Data Science, and a Professor of Finance (by courtesy), in the Fox School of Business, at Temple University. He also serves as Director of the Fox School’s Data Science Center. Prior to joining Fox, Airoldi was on the faculty in the Department of Statistics at Harvard University, where he founded and ...

AI and Computing Horizons: Cloud and Edge in the Modern Era

https://cis.temple.edu/~wu/research/publications/Publication_files/jsan-13-00044-v2.pdf

As discussed in Section 1 of this paper, in order to integrate senor networks efi-ciently with the cloud, new paradigms like edge and fog have been introduced. These new paradigms have redefined the way data are processed and managed in the realm of distributed computing, bridging the gap between the cloud and end devices.

ExamSoft - Temple Law

https://law.temple.edu/academics/exams/examsoft/

Temple Law uses ExamSoft products to administer final exams. For in-class exams, students must use Examplify, a program downloaded from ExamSoft. For Take-Home exams, students…

Information & AV Technology - Fox School of Business

https://www.fox.temple.edu/about-fox/information-av-technology

Current students, staff and faculty can learn more about the Information & AV Technology department by logging into TUPortal.

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 ...

Bayesian Filtering for Location Estimation - Temple University

https://cis.temple.edu/~latecki/Courses/RobotFall07/PapersFall07/fox-ijrr-2003.pdf

a small part of the state space, and it chooses a large number of samples if the state un-certainty is high. Both the implementation and computation overhead of this approach are small. Extensive experiments using mobile robot localization as a test application show that our approach yields drastic improvements over particle filters with fixed sample set sizes and over a previously introduced ...