https://cis.temple.edu/~latecki/Papers/Quan_DRBANET_ICIP_2022.pdf
ABSTRACT Due to the powerful ability to encode image details and semantics, many lightweight dual-resolution networks have been proposed in recent years. However, most of them ignore the benefit of boundary information. This paper introduces a lightweight dual-resolution network, called DRBANet, aim-ing to refine semantic segmentation results with the aid of boundary information. DRBANet also ...
https://cis.temple.edu/~latecki/Papers/JoPanECAI2024.pdf
This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
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
https://cis.temple.edu/~ingargio/cis587/readings/id3-c45.html
Introduction ID3 and C4.5 are algorithms introduced by Quinlan for inducing Classification Models, also called Decision Trees, from data.
https://cis.temple.edu/~yu/research/HearBP-info24.pdf
Abstract—Continuous blood pressure (BP) monitoring using wearable devices has received increasing attention due to its importance in diagnosing diseases. However, existing methods mainly measure BP intermittently, involve some form of user effort, and suffer from insuficient accuracy due to sensor properties. In order to overcome these limitations, we study the BP measurement technology ...
https://cis.temple.edu/~apal/nfmi_comnet.pdf
Near Field Magnetic Induction (NFMI) based communication is an emerging technology that promises several advantages over the traditional radio frequency (RF) communication including low energy use, ability to work reliably in a variety of difficult propagation media (e.g., water, non-ferromagnetic metals, underground, tissue media of fresh produce & meats, etc.), and low leakage possibility ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206750%20Camera%20Ready%20Version.pdf
1 Introduction Federated learning (FL) [Koneˇcn ́y et al., 2017], a widely-used framework for distributed machine learning, is a signif-icant research focus. Most FL algorithms, such as the clas-sic FedAvg, fall into Synchronous Federated Learning (SFL). They require the server to wait for all selected clients’ lo-cal training and uploads before aggregating updates, and as-sume uniform ...
https://tuljournals.temple.edu/index.php/mundi/article/download/746/521/2954
Abstract: Fast fashion has become popular among Western consumers since the turn of the century. With the invention of social media, these two industries have become integrated through consumer interest and retailer intervention through sponsorship. This study seeks to better understand current consumer perceptions of fast fashion retail practices to explore causes of the perpetuated unethical ...
https://scholarshare.temple.edu/bitstreams/9680ba47-5749-4c07-8df5-cfd27fcc515c/download
A highly distinctive combination of thought, word and gesture which together constitute a ritual drama that has been sacred to Afrikans for as long as humanity has counted time, and perhaps even before then. It is a powerful moment of profound significance in which divinity and ancestors are invoked, the environment acknowledged, and all the generations within the entire time/space correlation ...
https://cis.temple.edu/~latecki/Papers/GIFT-IEEEMM2017.pdf
Abstract—Projective analysis is an important solution in three-dimensional (3D) shape retrieval, since human visual perceptions of 3D shapes rely on various 2D observations from different viewpoints. Although multiple informative and discriminative views are utilized, most projection-based retrieval systems suffer from heavy computational cost, and thus cannot satisfy the basic requirement ...