Zobrazeno 1 - 10
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pro vyhledávání: '"Ejaz, A"'
Photosynthetic organisms rely on sophisticated photoprotective mechanisms to prevent oxidative damage under high or fluctuating solar illumination. Cyanobacteria, which have evolved a modular, water-soluble light harvesting complex - the phycobilisom
Externí odkaz:
http://arxiv.org/abs/2410.03899
Testing a hypothesized causal model against observational data is a key prerequisite for many causal inference tasks. A natural approach is to test whether the conditional independence relations (CIs) assumed in the model hold in the data. While a mo
Externí odkaz:
http://arxiv.org/abs/2409.14593
The domain of laser fusion presents a unique and challenging predictive modeling application landscape for machine learning methods due to high problem complexity and limited training data. Data-driven approaches utilizing prescribed functional forms
Externí odkaz:
http://arxiv.org/abs/2409.08832
RGB-D cameras supply rich and dense visual and spatial information for various robotics tasks such as scene understanding, map reconstruction, and localization. Integrating depth and visual information can aid robots in localization and element mappi
Externí odkaz:
http://arxiv.org/abs/2409.06625
Autor:
Usman, Muhammad, Shahid, M Husnain, Ejaz, Maheen, Hani, Ummay, Fatima, Nayab, Khan, Abdul Rehman, Khan, Asifullah, Mirza, Nasir Majid
Jet tagging is an essential categorization problem in high energy physics. In recent times, Deep Learning has not only risen to the challenge of jet tagging but also significantly improved its performance. In this article, we proposed an idea of a ne
Externí odkaz:
http://arxiv.org/abs/2406.06638
Autor:
Shao, Wei, Zhu, Rongyi, Yang, Cai, Thapa, Chandra, Ahmed, Muhammad Ejaz, Camtepe, Seyit, Zhang, Rui, Kim, DuYong, Menouar, Hamid, Salim, Flora D.
Spatiotemporal data is prevalent in a wide range of edge devices, such as those used in personal communication and financial transactions. Recent advancements have sparked a growing interest in integrating spatiotemporal analysis with large-scale lan
Externí odkaz:
http://arxiv.org/abs/2406.03404
We investigate how generative Artificial Intelligence (AI) can be used to optimize resources in Unmanned Aerial Vehicle (UAV)-assisted Internet of Things (IoT) networks. In particular, generative AI models for real-time decision-making have been used
Externí odkaz:
http://arxiv.org/abs/2405.03863
Autor:
Al Azdi, Zunayed, Islam, Khaleda, Khan, Muhammad Amir, Khan, Nida, Ejaz, Amna, Khan, Muhammad Ahmar, Warraitch, Azza, Jahan, Ishrat, Huque, Rumana
Publikováno v:
JMIR Research Protocols, Vol 10, Iss 5, p e25047 (2021)
BackgroundThousands of Rohingya refugee mothers at the world’s largest refugee camp located in Bangladesh are at risk of poor mental health. Accordingly, their children are also vulnerable to delayed cognitive and physical development. ObjectiveTh
Externí odkaz:
https://doaj.org/article/c3b50b4b1c164174b338ecbe1ec9cdc7
In recent years, the rising use of social media has propelled automated cyberbullying detection into a prominent research domain. However, challenges persist due to the absence of a standardized definition and universally accepted datasets. Many rese
Externí odkaz:
http://arxiv.org/abs/2402.10231
Publikováno v:
Journal of Financial Crime, 2023, Vol. 31, Issue 6, pp. 1332-1361.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JFC-08-2023-0198