Zobrazeno 1 - 10
of 7 822
pro vyhledávání: '"A A Momin"'
Autor:
A Mimi, Amir Hossain, A H Zulkarnine, M R Hasan, Mohammad K Alam, A K M Akther Hossain, A A Momin
Publikováno v:
Materials Research Express, Vol 11, Iss 9, p 096301 (2024)
Transition metal Mn substituted various multiferroic Bi _0.8 Sm _0.1 Dy _0.1 Fe _1 _-x Mn _x O _3 ( x = 0.00, 0.01, 0.03 and 0.05) ceramics samples were fabricated by the solid-state reaction technique. The distorted rhombohedral perovskite structure
Externí odkaz:
https://doaj.org/article/c373a1d7be55452090607e3e8238cbea
This paper aims to uncover needs of adult learners when using pedagogical technologies such as intelligent tutoring systems. Further, our aim with this work is to understand the usability challenges when deploying tutors at scale within the adult lea
Externí odkaz:
http://arxiv.org/abs/2412.04477
Sirius is the brightest star in the night sky and, despite its proximity, this binary system still imposes intriguing questions about its current characteristics and past evolution. Bond et. al. (arXiv:1703.10625) published decades of astrometric mea
Externí odkaz:
http://arxiv.org/abs/2411.03267
Mobile devices such as smartphones, laptops, and tablets can often connect to multiple access networks (e.g., Wi-Fi, LTE, and 5G) simultaneously. Recent advancements facilitate seamless integration of these connections below the transport layer, enha
Externí odkaz:
http://arxiv.org/abs/2411.04138
Autor:
Sun, Hanshi, Haider, Momin, Zhang, Ruiqi, Yang, Huitao, Qiu, Jiahao, Yin, Ming, Wang, Mengdi, Bartlett, Peter, Zanette, Andrea
The safe and effective deployment of Large Language Models (LLMs) involves a critical step called alignment, which ensures that the model's responses are in accordance with human preferences. Prevalent alignment techniques, such as DPO, PPO and their
Externí odkaz:
http://arxiv.org/abs/2410.20290
Data heterogeneity among Federated Learning (FL) users poses a significant challenge, resulting in reduced global model performance. The community has designed various techniques to tackle this issue, among which Knowledge Distillation (KD)-based tec
Externí odkaz:
http://arxiv.org/abs/2409.19912
Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in facilitating various aspects of brachyth
Externí odkaz:
http://arxiv.org/abs/2409.16543
Deep neural networks (DNNs) have made significant strides in tackling challenging tasks in wireless systems, especially when an accurate wireless model is not available. However, when available data is limited, traditional DNNs often yield subpar res
Externí odkaz:
http://arxiv.org/abs/2409.00124
Autor:
Chandio, Yasra, Khan, Momin A., Selialia, Khotso, Garcia, Luis, DeGol, Joseph, Anwar, Fatima M.
Publikováno v:
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Autonomous robots, autonomous vehicles, and humans wearing mixed-reality headsets require accurate and reliable tracking services for safety-critical applications in dynamically changing real-world environments. However, the existing tracking approac
Externí odkaz:
http://arxiv.org/abs/2407.06889
Intelligent tutors have shown success in delivering a personalized and adaptive learning experience. However, there exist challenges regarding the granularity of knowledge in existing frameworks and the resulting instructions they can provide. To add
Externí odkaz:
http://arxiv.org/abs/2405.14716