https://scholarshare.temple.edu/bitstreams/3c1bda65-8c86-4f75-ac4a-87f8fe1ebe08/download
With such an intricate system, a failure in any one component of hearing may have devastating effects on the sensation and per-ception of sound. Such hearing loss can occur in two forms: con-ductive and sensorineural [3]. Conductive hearing loss is caused by an impediment in the outer ear that prevents the conduction of sound, which could be as minor as a lodged piece of dried earwax, or as ...
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 ...
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://igem.temple.edu/people/person/9618981a88ef50abe188884e7a511363
Big data are ubiquitous in genomics and evolutionary biology, at scales from personalized medicine to the global timetree of life. Research in my lab integrates mathematical, computational, and machine-learning techniques into evolutionary biology and biomedicine. We develop methods, models, software, and databases for researching species divergence, genetic diseases, viral spread, and tumor ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/m48122-zhao%20final.pdf
ArrayPipe: Introducing Job-Array Pipeline Parallelism for High Throughput Model Exploration Hairui Zhao1, Hongliang Li1,2,∗, Qi Tian1, Jie Wu3, Meng Zhang1, Xiang Li1, Haixiao Xu4
https://sites.temple.edu/yangyang/files/2024/10/Yang-CV-2024-Chinese.pdf
香港理工大学2024年研究生院杰出科研青年校友奖 斯坦福大学评选的全球前2%顶尖科学家 美国天普大学FOX商学院体育、旅游与酒店管理学院院长荣誉榜科研奖 中国旅游研究国际联合会会士 美国天普大学FOX商学院体育、旅游与酒店管理学院政策研究卓越奖 美国天普大学FOX商学院体育、旅游与酒店管理 ...
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 ...
https://bulletin.temple.edu/courses/eng/
English 0701 focuses on writing within a single theme, working on ungraded multiple drafts for assignments, developing skills in summary and textual support presented in appropriate context. Students create a portfolio of their work, including at least four sequenced assignments that culminate in a final project that pulls together critical and literary texts. Multiple individual conferences ...
https://cis.temple.edu/~tug29203/18spring-3329/reading/Lab_7_Solutions.pdf
The whole transmission time is the difference of the time instant of the first TCP segment (i.e., 0.026477 second for No.4 segment) and the time instant of the last ACK (i.e., 5.455830 second for No. 202 segment).
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 ...