Zobrazeno 1 - 10
of 4 285
pro vyhledávání: '"A Ouni"'
Quantized neural networks (QNNs) are increasingly used for efficient deployment of deep learning models on resource-constrained platforms, such as mobile devices and edge computing systems. While quantization reduces model size and computational dema
Externí odkaz:
http://arxiv.org/abs/2411.15246
[Context] Large Language Models (LLMs) have shown good performance in several software development-related tasks such as program repair, documentation, code refactoring, debugging, and testing. Adapters are specialized, small modules designed for par
Externí odkaz:
http://arxiv.org/abs/2408.09568
Although using third-party libraries has become prevalent in contemporary software development, developers often struggle to update their dependencies. Prior works acknowledge that due to the migration effort, priority and other issues cause lags in
Externí odkaz:
http://arxiv.org/abs/2407.04263
Autor:
Rojpaisarnkit, Ruksit, Damrongsiri, Hathaichanok, Treude, Christoph, Ouni, Ali, Kula, Raula Gaikovina
With the urgent need to secure supply chains among Open Source libraries, attention has focused on mitigating vulnerabilities detected in these libraries. Although awareness has improved recently, most studies still report delays in the mitigation pr
Externí odkaz:
http://arxiv.org/abs/2406.11362
Autor:
Hmissi, Fatma, Ouni, Sofiane
MQTT (Message Queuing Telemetry Transport) has become the perfect messaging protocol for IoT (Internet of Things) systems since it is the lightest protocol designed for low bandwidth, high-latency, unreliable networks. Today, the strategy of distribu
Externí odkaz:
http://arxiv.org/abs/2406.02731
Big Data works perfectly along with Deep learning to extract knowledge from a huge amount of data. However, this processing could take a lot of training time. Genomics is a Big Data science with high dimensionality. It relies on deep learning to solv
Externí odkaz:
http://arxiv.org/abs/2405.16097
Autor:
Hmissi, Fatma, Ouni, Sofiane
Publikováno v:
International Journal on Advances in Telecommunications, 2022, http://www.iariajournals.org/telecommunications/
Nowadays, all sectors utilize devices that are part of the Internet of Things (IoT) for the purpose of connecting and exchanging information with other devices and systems over the Internet. This increases the diversity of devices and their working e
Externí odkaz:
http://arxiv.org/abs/2405.15901
Autor:
Wehbi, Osama, Arisdakessian, Sarhad, Guizani, Mohsen, Wahab, Omar Abdel, Mourad, Azzam, Otrok, Hadi, khzaimi, Hoda Al, Ouni, Bassem
Federated learning is a promising collaborative and privacy-preserving machine learning approach in data-rich smart cities. Nevertheless, the inherent heterogeneity of these urban environments presents a significant challenge in selecting trustworthy
Externí odkaz:
http://arxiv.org/abs/2405.00394
Monocular depth estimation (MDE) has advanced significantly, primarily through the integration of convolutional neural networks (CNNs) and more recently, Transformers. However, concerns about their susceptibility to adversarial attacks have emerged,
Externí odkaz:
http://arxiv.org/abs/2403.11515
Autor:
AlOmar, Eman Abdullah, Knobloch, Benjamin, Kain, Thomas, Kalish, Christopher, Mkaouer, Mohamed Wiem, Ouni, Ali
AntiCopyPaster is an IntelliJ IDEA plugin, implemented to detect and refactor duplicate code interactively as soon as a duplicate is introduced. The plugin only recommends the extraction of a duplicate when it is worth it. In contrast to current Extr
Externí odkaz:
http://arxiv.org/abs/2402.06035