Zobrazeno 1 - 10
of 12 916
pro vyhledávání: '"Seneviratne A"'
Autor:
Perera ACH, Jayamaha AR, Jones AV, Yusuf ZK, Wijayasiri KDCU, Amarasekara T, Seneviratne A, Miah R, Barton A, Steiner MC, Wimalasekara SW, Orme MW, Singh SJ
Publikováno v:
International Journal of COPD, Vol Volume 17, Pp 631-641 (2022)
A Chamilya H Perera,1,2 Akila R Jayamaha,1,2 Amy V Jones,1,3 Zainab K Yusuf,1,3 KDC Upendra Wijayasiri,4 Thamara Amarasekara,5 Anthony Seneviratne,6 Ruhme Miah,1,3 Andy Barton,1 Michael C Steiner,1,3 Savithri W Wimalasekara,7 Mark W Orme,1,3,* Sa
Externí odkaz:
https://doaj.org/article/fe110fdbd7364baa9ef956d9995aaa60
Adapting Large Language Models (LLMs) that are extensively trained on abundant text data, and customizing the input prompt to enable time series forecasting has received considerable attention. While recent work has shown great potential for adapting
Externí odkaz:
http://arxiv.org/abs/2412.04806
In this work, we developed an efficient quantum algorithm for the simulation of non-Markovian quantum dynamics, based on the Feynman path integral formulation. The algorithm scales polynomially with the number of native gates and the number of qubits
Externí odkaz:
http://arxiv.org/abs/2411.18168
Autor:
Sun, Jianjun, Niu, Zhenwei, Dong, Yihao, Zhang, Fenglin, Din, Muhayy Ud, Seneviratne, Lakmal, Lin, Defu, Hussain, Irfan, He, Shaoming
This paper presents an autonomous aerial system specifically engineered for operation in challenging marine GNSS-denied environments, aimed at transporting small cargo from a target vessel. In these environments, characterized by weakly textured sea
Externí odkaz:
http://arxiv.org/abs/2411.01603
The decline of bee and wind-based pollination systems in greenhouses due to controlled environments and limited access has boost the importance of finding alternative pollination methods. Robotic based pollination systems have emerged as a promising
Externí odkaz:
http://arxiv.org/abs/2410.23747
The proliferation of spam on the Web has necessitated the development of machine learning models to automate their detection. However, the dynamic nature of spam and the sophisticated evasion techniques employed by spammers often lead to low accuracy
Externí odkaz:
http://arxiv.org/abs/2410.00860
Autor:
Silva, Bhanuka, Denipitiyage, Dishanika, Seneviratne, Suranga, Mahanti, Anirban, Seneviratne, Aruna
While many online services provide privacy policies for end users to read and understand what personal data are being collected, these documents are often lengthy and complicated. As a result, the vast majority of users do not read them at all, leadi
Externí odkaz:
http://arxiv.org/abs/2409.16621
Autor:
Tavallaie, Omid, Thilakarathna, Kanchana, Seneviratne, Suranga, Seneviratne, Aruna, Zomaya, Albert Y.
Federated Learning (FL) is a distributed machine learning paradigm designed for privacy-sensitive applications that run on resource-constrained devices with non-Identically and Independently Distributed (IID) data. Traditional FL frameworks adopt the
Externí odkaz:
http://arxiv.org/abs/2409.15067
Autor:
Denipitiyage, D., Silva, B., Gunathilaka, K., Seneviratne, S., Mahanti, A., Seneviratne, A., Chawla, S.
App markets have evolved into highly competitive and dynamic environments for developers. While the traditional app life cycle involves incremental updates for feature enhancements and issue resolution, some apps deviate from this norm by undergoing
Externí odkaz:
http://arxiv.org/abs/2407.14565
Autor:
Elnoor, Mohamed, Weerakoon, Kasun, Seneviratne, Gershom, Xian, Ruiqi, Guan, Tianrui, Jaffar, Mohamed Khalid M, Rajagopal, Vignesh, Manocha, Dinesh
We present a novel autonomous robot navigation algorithm for outdoor environments that is capable of handling diverse terrain traversability conditions. Our approach, VLM-GroNav, uses vision-language models (VLMs) and integrates them with physical gr
Externí odkaz:
http://arxiv.org/abs/2409.20445