Zobrazeno 1 - 10
of 24 155
pro vyhledávání: '"Kamali, A"'
Industrial Internet of Things (IIoT) is highly sensitive to data privacy and cybersecurity threats. Federated Learning (FL) has emerged as a solution for preserving privacy, enabling private data to remain on local IIoT clients while cooperatively tr
Externí odkaz:
http://arxiv.org/abs/2408.08722
The high level of photorealism in state-of-the-art diffusion models like Midjourney, Stable Diffusion, and Firefly makes it difficult for untrained humans to distinguish between real photographs and AI-generated images. To address this problem, we de
Externí odkaz:
http://arxiv.org/abs/2406.08651
Autor:
Akyash, Mohammad, Kamali, Hadi Mardani
The rise of instruction-tuned Large Language Models (LLMs) marks a significant advancement in artificial intelligence (AI) (tailored to respond to specific prompts). Despite their popularity, applying such models to debug security vulnerabilities in
Externí odkaz:
http://arxiv.org/abs/2405.12347
Autor:
Aminimehr, Amirhossein, Aminimehr, Amin, Kamali, Hamid Moradi, Eetemadi, Sauleh, Hoseinzade, Saeid
Studies conducted on financial market prediction lack a comprehensive feature set that can carry a broad range of contributing factors; therefore, leading to imprecise results. Furthermore, while cooperating with the most recent innovations in explai
Externí odkaz:
http://arxiv.org/abs/2405.09932
We use the reconfiguration framework to analyze problems that involve the rearrangement of items among groups. In various applications, a group of items could correspond to the files or jobs assigned to a particular machine, and the goal of rearrange
Externí odkaz:
http://arxiv.org/abs/2405.05535
Learning representations for query plans play a pivotal role in machine learning-based query optimizers of database management systems. To this end, particular model architectures are proposed in the literature to transform the tree-structured query
Externí odkaz:
http://arxiv.org/abs/2405.04814
Autor:
Akyash, Mohammad, Kamali, Hadi Mardani
Automating hardware (HW) security vulnerability detection and mitigation during the design phase is imperative for two reasons: (i) It must be before chip fabrication, as post-fabrication fixes can be costly or even impractical; (ii) The size and com
Externí odkaz:
http://arxiv.org/abs/2404.16651
We present the first learning-augmented data structure for implementing dictionaries with optimal consistency and robustness. Our data structure, named RobustSL, is a skip list augmented by predictions of access frequencies of elements in a data sequ
Externí odkaz:
http://arxiv.org/abs/2402.09687
Autor:
Al-Amin, Md., Bhaskar, Kesava Chandran Vijaya, Enab, Walaa, Miab, Reza Kamali, Slavin, Jennifer, Sultana, Nigar
Publikováno v:
European Journal of Environment and Public Health, 2024, 8(1), em0151
Malaria is the leading cause of death globally, especially in sub-Saharan African countries claiming over 400,000 deaths globally each year, underscoring the critical need for continued efforts to combat this preventable and treatable disease. The ob
Externí odkaz:
http://arxiv.org/abs/2402.02233
Query optimizers in relational database management systems (RDBMSs) search for execution plans expected to be optimal for a given queries. They use parameter estimates, often inaccurate, and make assumptions that may not hold in practice. Consequentl
Externí odkaz:
http://arxiv.org/abs/2401.15210