Zobrazeno 1 - 10
of 42 968
pro vyhledávání: '"A. Saman"'
Autor:
Wu, Haihang, Wang, Wei, Malepathirana, Tamasha, Seneviratne, Sachith, Oetomo, Denny, Halgamuge, Saman
Pruning can be an effective method of compressing large pre-trained models for inference speed acceleration. Previous pruning approaches rely on access to the original training dataset for both pruning and subsequent fine-tuning. However, access to t
Externí odkaz:
http://arxiv.org/abs/2412.07114
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
Edge computing is emerging as a key enabler of low-latency, high-efficiency processing for the Internet of Things (IoT) and other real-time applications. To support these demands, containerization has gained traction in edge computing due to its ligh
Externí odkaz:
http://arxiv.org/abs/2412.03032
The rapid expansion of IoT devices and their real-time applications have driven a growing need for edge computing. To meet this need, efficient and secure solutions are required for running such applications on resource-constrained devices with limit
Externí odkaz:
http://arxiv.org/abs/2412.03030
Autor:
Ranathunga, Surangika, Sirithunga, Rumesh, Rathnayake, Himashi, De Silva, Lahiru, Aluthwala, Thamindu, Peramuna, Saman, Shekhar, Ravi
Text Simplification is a task that has been minimally explored for low-resource languages. Consequently, there are only a few manually curated datasets. In this paper, we present a human curated sentence-level text simplification dataset for the Sinh
Externí odkaz:
http://arxiv.org/abs/2412.01293
This paper investigates the signal detection problem in colored noise with an unknown covariance matrix. In particular, we focus on detecting a non-random signal by capitalizing on the leading eigenvalue (a.k.a. Roy's largest root) of the whitened sa
Externí odkaz:
http://arxiv.org/abs/2412.05306
Autor:
Sarraf, Saman
Generative AI (GenAI) has revolutionized content generation, offering transformative capabilities for improving language coherence, readability, and overall quality. This manuscript explores the application of qualitative, quantitative, and mixed-met
Externí odkaz:
http://arxiv.org/abs/2411.17943
Autor:
Udupitiya, Tharindu, Dharmawansa, Prathapasinghe, Atapattu, Saman, Tellambura, Chintha, Debbah, Merouane
Signal detection in colored noise with an unknown covariance matrix has numerous applications across various scientific and engineering disciplines. The analysis focuses on the square of the condition number \(\kappa^2(\cdot)\), defined as the ratio
Externí odkaz:
http://arxiv.org/abs/2411.17939
Autor:
Liu, Zuhao, Yanev, Aleksandar, Mahmood, Ahmad, Nikolov, Ivan, Motamed, Saman, Zheng, Wei-Shi, Wang, Xi, Van Gool, Luc, Paudel, Danda Pani
Advances in video generation have significantly improved the realism and quality of created scenes. This has fueled interest in developing intuitive tools that let users leverage video generation as world simulators. Text-to-video (T2V) generation is
Externí odkaz:
http://arxiv.org/abs/2411.16804
The rapid adoption of electric vehicles (EVs) in modern transport systems has made energy-aware routing a critical task in their successful integration, especially within large-scale networks. In cases where an EV's remaining energy is limited and ch
Externí odkaz:
http://arxiv.org/abs/2411.12964