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UDL Progression Rubric - teaching.temple.edu

https://teaching.temple.edu/sites/teaching/files/documents/UDL_Progression_Rubric%202024%20(1).pdf

Katie Novak & Kristan Rodriguez Based on the CAST UDL Guidelines (2024)

Introduction: History and Reasons for Molecular Simulations

https://ronlevygroup.cst.temple.edu/courses/2023_fall/chem5302/slides-notes/DDM_FEP_lecture.pdf

Very important type of “reaction”: bimolecular non-covalent binding R(sol) + L(sol)

Mini-Workshop on Software Defined Radio Using the RTL-SDR

https://sites.temple.edu/silage/files/2024/04/Mini-Workshop-On-SDR-Setup-of-SDR.pdf

SDR# is the most commonly used SDR program on Windows. We recommend it as one of the easiest to setup and use with the RTL-SDR.

Registration – NEBEC2026

https://sites.temple.edu/nebec2026/registration/

ABSTRACT SUBMISSION AND CONFERENCE REGISTRATION OPENING SOON! Scientific Sessions:u2028 We welcome contributions from all areas of Biomedical Engineering. Cellular and Molecular Bioengineering Biomechanics Tissue Engineering Synthetic Biology Computational Biology/Bioinformatics Medical Devices Biophotonics / Biomedical Imaging

Home - School of Sport, Tourism and Hospitality Management

https://sthm-stage2.temple.edu/current-students/

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Online Federated Learning on Distributed Unknown Data Using UAVs

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 ...

Design and Implementation of a Real-Time Target Detection and Automatic ...

https://cis.temple.edu/~pwang/5603-AI/Project/2024F/SitongTie/CIS5603_project.pdf

1 Project Overview This project aims to design and implement a real-time target detection and au-tomatic tracking system based on deep learning models and automatic control. The system uses computer vision technology to detect and automatically track targets in a gaming environment, and combines control theory to achieve precise mouse operations. The project involves the deployment of deep ...

PTN-IDS: Prototypical Network Solution for the Few-shot Detection in ...

https://cis.temple.edu/~wu/research/publications/Publication_files/1571039973-LCN2024.pdf

Abstract—Local Area Networks (LANs), as interconnected networks, are susceptible to numerous security threats. Existing intrusion detection systems (IDS) heavily rely on large, fully-labeled datasets to have accurate detection, facing challenges when only a few malicious samples are available. In addition, previous studies have identified the deterioration of IDS’s per-formance when the ...

Yu Wang - Temple University

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

Yu Wang Professor and Chair, FIEEE, DMACM W ireless and A dvanced N etworking G roup (WANG Lab) and Center for Networked Computing Department of Computer and Information Sciences Temple University Science Education and Research Center (SERC) 304A 1925 N. 12th Street Philadelphia, Pennsylvania 19122, USA +1-215-204-4187 (office) wangyu at temple dot edu Office Hour: 2-3pm on Monday/Wednesday or ...

Cepstral Peak Prominence (CPP) – Vocal Development Lab - Sites

https://sites.temple.edu/vocaldevlab/cpp-voice-foundation-2022/

Cepstral Peak Prominence (CPP) is an acoustic measure of dysphonia recommended by an ASHA expert panel. A lower CPP value is associated with a more dysphonic voice. Although CPP offers a more ecologically valid measure of dysphonia that can be completed on running speech, it is important to acknowledge that differences in algorithm used to calculate CPP, stimuli used for analysis, and other ...