Zobrazeno 1 - 10
of 9 997
pro vyhledávání: '"A, Darabi"'
This work introduces JEMA (Joint Embedding with Multimodal Alignment), a novel co-learning framework tailored for laser metal deposition (LMD), a pivotal process in metal additive manufacturing. As Industry 5.0 gains traction in industrial applicatio
Externí odkaz:
http://arxiv.org/abs/2410.23988
Predicting the spread of processes across complex multi-layered networks has long challenged researchers due to the intricate interplay between network structure and propagation dynamics. Each layer of these networks possesses unique characteristics,
Externí odkaz:
http://arxiv.org/abs/2410.16625
Autor:
Darabi, Nastaran, Jayasuriya, Dinithi, Naik, Devashri, Tulabandhula, Theja, Trivedi, Amit Ranjan
Adversarial attacks exploit vulnerabilities in a model's decision boundaries through small, carefully crafted perturbations that lead to significant mispredictions. In 3D vision, the high dimensionality and sparsity of data greatly expand the attack
Externí odkaz:
http://arxiv.org/abs/2409.12379
Diffusion models are vastly used in generative AI, leveraging their capability to capture complex data distributions. However, their potential remains largely unexplored in the field of resource allocation in wireless networks. This paper introduces
Externí odkaz:
http://arxiv.org/abs/2407.15784
Autor:
Darabi, Mahdi, Fathi, AmirReza
The first generation of cryptocurrencies introduced revolutionary concepts, yet faced challenges in privacy and regulatory compliance. While subsequent cryptocurrencies aimed to address privacy concerns (like Zcash and Monero), they often conflicted
Externí odkaz:
http://arxiv.org/abs/2407.10187
Autor:
Saremi, Mahta, author, Darabi, Hassan, author, Amiri, Mohammad Javad, author, Bidhendi, Gholamreza Nabi, author, Behbahani, Homa Irani, author
Publikováno v:
Emerging Patterns and Behaviors in a Green Resilient Economy
Autor:
Darabi, Nastaran, Shukla, Priyesh, Jayasuriya, Dinithi, Kumar, Divake, Stutts, Alex C., Trivedi, Amit Ranjan
This paper addresses the challenging problem of energy-efficient and uncertainty-aware pose estimation in insect-scale drones, which is crucial for tasks such as surveillance in constricted spaces and for enabling non-intrusive spatial intelligence i
Externí odkaz:
http://arxiv.org/abs/2401.17481
Autor:
Bączek, Jan, Zhylko, Dmytro, Titericz, Gilberto, Darabi, Sajad, Puget, Jean-Francois, Putterman, Izzy, Majchrowski, Dawid, Gupta, Anmol, Kranen, Kyle, Morkisz, Pawel
While machine learning has witnessed significant advancements, the emphasis has largely been on data acquisition and model creation. However, achieving a comprehensive assessment of machine learning solutions in real-world settings necessitates stand
Externí odkaz:
http://arxiv.org/abs/2312.17100
Autor:
Hassanizadeh, Shirin, Darabi, Zahra, Khosravi, Maryam, Mirzaei, Masoud, Hosseinzadeh, Mahdieh
Publikováno v:
Nutrition & Food Science, 2024, Vol. 54, Issue 7, pp. 1234-1246.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/NFS-09-2023-0211
The design of Wireless Networked Control System (WNCS) requires addressing critical interactions between control and communication systems with minimal complexity and communication overhead while providing ultra-high reliability. This paper introduce
Externí odkaz:
http://arxiv.org/abs/2311.16895