Search Keywords

Results Restricted To:

https://www.temple.edu

Total Results: 86

Access & Download GSS Data - General Social Survey (GSS) - Research ...

https://guides.temple.edu/generalsocialsurvey/acess

guide to accessing and using the General Social Survey data and related data and literature

Journal Publications – Prof. Subodha Kumar - Sites

https://sites.temple.edu/subodha/2017/08/23/journal-publications/

Winner, Decision Sciences Institute (DSI) 2018 Best Student Best Paper Award, Chicago, Illinois, November 2018. Selected as a Finalist for the INFORMS 2017 IBM Service Science Best Student Paper Award.

Publications – Temple Robotics and Artificial Intelligence Laboratory

https://sites.temple.edu/trail/publications/

Pre-Prints/Under Review Alkesh Kumar Srivastava, Jared Levin, and Philip Dames. “Energy Efficient Multi Robot Package Delivery under Capacity-Constraints via Voronoi-Constrained Networks.” [arXiv] Alkesh Kumar Srivastava, Jared Levin, Alexander Derrico, and Philip Dames. “DELIVER: A System for LLM-Guided Coordinated Multi-Robot Pickup and Delivery using Voronoi-Based Relay Planning ...

Welcome to Ben's Home - Temple University

https://cis.temple.edu/~he/

Dr. Xubin He's research has been mainly sponsored by the U.S. National Science Foundation (NSF). He has authored and co-authored many technical articles in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems (TPDS), Journal of Parallel and Distributed Computing (JPDC), ACM Transactions on Storage (ToS), and IEEE Transactions on Dependable and Secure Computing ...

National Trial Team - Temple Law

https://law.temple.edu/academics/intellectual-life/trial-team/

About the National Trial Team Temple’s National Trial Team generally consists of 16 to 18 students, 2L or above. Team members are chosen through a competitive selection process. Membership brings academic credit. Team members enroll in two Advanced Trial Advocacy Courses: Pre-Trial Motions Practice and Evidence Strategies. In their first year of membership, students earn four credits. In ...

Teaching - Richard Souvenir - Temple University

https://cis.temple.edu/~souvenir/index.php?id=teaching

Teaching CIS 5543: Computer Vision Graduate level course in introductory computer vision topics. Offered: Fall 2019, Fall 2020 CIS 5603: Artificial Intelligence Graduate level course that covers classic and modern AI topics such as search, reasoning, knowledge representation, and learning. Offered: Spring 2019 CIS 4526: Foundations of Machine Learning Undergraduate level course in general ...

Yan Wang's personal website - Temple University

https://cis.temple.edu/~yanwang/publications.html

Yucheng Xie, Xiaonan Guo, Yan Wang, Jerry Cheng, and Yingying Chen. "Universal targeted adversarial attacks against mmwave-based human activity recognition." In Network Security Empowered by Artificial Intelligence, pp. 177-211. Cham: Springer Nature Switzerland, 2024. New!

Strengths and limitations of bioretention sorbent amendments to ...

https://scholarshare.temple.edu/items/36e802b7-016d-45e4-97df-82edfecabb0e

Bioretention is increasingly being employed as a stormwater management tool in urban areas, with the intent of using infiltration to address both water quantity and quality concerns. However, bioretention soil media (BSM) has limited removal capacity for dissolved contaminants; hence, amendments may be justified to improve performance. In this study, the potential of five low-cost sorbents as ...

Constraint Satisfaction Problems - Temple University

https://cis.temple.edu/~giorgio/cis587/readings/constraints.html

Introduction and Definitions Search can be made easier in cases where the solution insted of corresponding to an optimal path, is only required to satisfy local consistency conditions. We call such problems Constraint Satisfaction (CS) Problems. For example, in a crossword puzzle it is only required that words that cross each other have the same letter in the location where they cross. It ...

Personalized Mobile Targeting with User Engagement Stages: Combining a ...

https://www.fox.temple.edu/sites/fox/files/SHMM_isre.2018.0831.pdf

Abstract. Low engagement rates and high attrition rates have been formidable challenges to mobile apps and their long-term success, especially for those whose revenues derive mainly from in-app purchases. To date, little is known about how companies can sci-entifically detect user engagement stages and optimize corresponding personalized-targeting promotion strategies to improve business ...