Search Keywords

Results Restricted To:

https://www.temple.edu

Total Results: 220

In-Class Exercise #4 - Pen and Paper Query Exercise.docx

https://community.mis.temple.edu/mis2502s012summer17/files/2017/05/In-Class-Exercise-4-Pen-and-Paper-Query-Exercise.pdf

In-class Exercise: Pen-and-Paper Query Exercise Recall our Housing Authority schema from the last in-class exercise:

Information & AV Technology - Fox School of Business

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

Here are some of the things we do: Management and administration IT and AV technologies for 3 buildings - Alter Hall, Speakman Hall and 1810 LW Capital Market Trading Lab, PC Teaching Labs, PhD Research Lab, MBA Business Lab, Bloomberg Terminal Lab, 24 Breakout Rooms, 40 conference rooms , 5 Event Spaces Administration and maintenance of virtual servers and storage Installation and maintenance ...

MIS 5208 - LE11 - Data Acquistion

https://community.mis.temple.edu/mis5208sp18/files/2018/04/MIS-5208-LE11-Data-Acquistion.pdf

Raw Format Makes it possible to write bit-stream data to files

Choose QDA software - Qualitative Data Analysis and QDA Tools ...

https://guides.temple.edu/qda/choosing

This workshop is the second of the two-part workshop on five different Qualitative Data Analysis (QDA) tools – ATLAS.ti, NVivo, Dedoose, Taguette, and QualCoder. The workshop recaps essential and distinctive features demonstrated in the Part 1 recorded workshop and answered questions about the tools. The workshop discusses considerations for choosing among the five tools and provides ...

Optimizing Data-Driven Federated Learning in UAV Networks

https://cis-linux1.temple.edu/~jiewu/research/publications/Publication_files/ICPADS2024.pdf

Abstract—Federated Learning (FL) is an emerging privacy-preserving distributed machine learning paradigm that enables numerous clients to collaboratively train a global model without transmitting private datasets to the FL server. Unlike most existing research, this paper introduces a Data-Driven FL system in Unmanned Aerial Vehicle (UAV) networks, named DDFL, which features an innovative ...

Mobile Targeting - fox.temple.edu

https://www.fox.temple.edu/sites/fox/files/mobile-targeting-ms-pub.pdf

Mobile technologies enable marketers to target consumers by time and location. This study builds on a large- scale randomized experiment of short message service (SMS) texts sent to 12,265 mobile users. We draw on contextual marketing theory to hypothesize how different combinations of mobile targeting determine consumer responses to mobile promotions. We identify that temporal targeting and ...

Business Administration DBA - Temple University

https://www.temple.edu/academics/degree-programs/business-administration-dba-bu-ba-dba

Doctor of Business Administration The Doctor of Business Administration (DBA) in Temple’s Fox School of Business is designed to provide executive-level professionals with the applied research theories and tools necessary to keep up with the evolutionary nature of industry, and continue to advance in their companies and respective fields. Those who choose to pursue a Doctor of Business ...

Pei Wang - Temple University

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

Research New book published: Non-Axiomatic Logic: A Model of Intelligent Reasoning, 2nd Edition Artificial Intelligence (AI): basic questions, A General Theory of Intelligence, materials in Chinese(中文资料) Artificial General Intelligence (AGI): introduction, journal, society, education Non-Axiomatic Reasoning System (NARS): introduction, open-source version, discussion group, course ...

Fuzzy Boundary-Guided Network for Camouflaged Object Detection

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 ...

PowerPoint Presentation

https://cis.temple.edu/~latecki/Courses/AI-Fall12/ColoradoAICourse/Ensemble_Learning.ppt

* Boosting Summary Good points Fast learning Capable of learning any function (given appropriate weak learner) Feature weighting Very little parameter tuning Bad ...