Zobrazeno 1 - 10
of 29 678
pro vyhledávání: '"Mumtaz AS"'
Autor:
Peng, Tianhao, Li, Yuchen, Li, Xuhong, Bian, Jiang, Xie, Zeke, Sui, Ning, Mumtaz, Shahid, Xu, Yanwu, Kong, Linghe, Xiong, Haoyi
Recent advancements in computational chemistry have leveraged the power of trans-former-based language models, such as MoLFormer, pre-trained using a vast amount of simplified molecular-input line-entry system (SMILES) sequences, to understand and pr
Externí odkaz:
http://arxiv.org/abs/2411.01401
Computer vision researchers have extensively worked on fundamental infrared visual recognition for the past few decades. Among various approaches, deep learning has emerged as the most promising candidate. However, Infrared Small Object Segmentation
Externí odkaz:
http://arxiv.org/abs/2410.22881
In mobile edge computing (MEC), task offloading can significantly reduce task execution latency and energy consumption of end user (EU). However, edge server (ES) resources are limited, necessitating efficient allocation to ensure the sustainable and
Externí odkaz:
http://arxiv.org/abs/2409.18977
Autor:
Sun, Jianfei, Wu, Cong, Mumtaz, Shahid, Tao, Junyi, Cao, Mingsheng, Wang, Mei, Frascolla, Valerio
In the rapidly evolving domain of satellite communications, integrating advanced machine learning techniques, particularly split learning, is crucial for enhancing data processing and model training efficiency across satellites, space stations, and g
Externí odkaz:
http://arxiv.org/abs/2409.08538
This paper explores a discrete energy state transition model for energy harvesting (EH) in cell-free massive multiple-input multiple-output (CF-mMIMO) networks. Multiple-antenna access points (APs) provide wireless power and information to single-ant
Externí odkaz:
http://arxiv.org/abs/2409.01127
Autor:
Gleason, Samuel P., Dahl, Jakob C., Elzouka, Mahmoud, Wang, Xingzhi, Byrne, Dana O., Gababa, Mumtaz, Cho, Hannah, Prasher, Ravi, Lubner, Sean, Chan, Emory, Alivisatos, A. Paul
The development of a colloidal synthesis procedure to produce nanomaterials of a specific size with high shape and size purity is often a time consuming, iterative process. This is often due to the time, resource and expertise intensive characterizat
Externí odkaz:
http://arxiv.org/abs/2407.08769
Autor:
Xiong, Haoyi, Wang, Zhiyuan, Li, Xuhong, Bian, Jiang, Xie, Zeke, Mumtaz, Shahid, Al-Dulaimi, Anwer, Barnes, Laura E.
This article explores the convergence of connectionist and symbolic artificial intelligence (AI), from historical debates to contemporary advancements. Traditionally considered distinct paradigms, connectionist AI focuses on neural networks, while sy
Externí odkaz:
http://arxiv.org/abs/2407.08516
Autor:
Maji, Moupiya, More, Surhud, Sule, Aniket, Balasubramanya, Vishaak, Bhandari, Ankit, Chand, Hum, Chavan, Kshitij, Dasgupta, Avik, De, Anindya, Gangopadhyay, Jayant, Gulati, Mamta, Hasan, Priya, Ishtiyaq, Syed, Madani, Meraj, Misra, Kuntal, N, Amoghavarsha, Oberoi, Divya, Pattnaik, Subhendu, Patwardhan, Mayuri, Ramanujam, Niruj Mohan, Ranadive, Pritesh, Sawant, Disha, Sharma, Paryag, Sharma, Twinkle, Shetye, Sai, Singhal, Akshat, Srivastava, Ajit M., Sudan, Madhu, Syed, Mumtaz, Vikranth, Pulamathi, Yadav, Virendra
We present the results of a nation-wide baseline survey, conducted by us, for the status of Astronomy education among secondary school students in India. The survey was administered in 10 different languages to over 2000 students from diverse backgro
Externí odkaz:
http://arxiv.org/abs/2406.12308
The theory of uniform approximation of real numbers motivates the study of products of consecutive partial quotients in regular continued fractions. For any non-decreasing positive function $\varphi:\mathbb{N}\to\mathbb{R}_{>0}$ and $\ell\in \mathbb{
Externí odkaz:
http://arxiv.org/abs/2405.10538
Autor:
Tanner, Christian P. N., Wall, Vivian R. K., Gababa, Mumtaz, Portner, Joshua, Jeong, Ahhyun, Hurley, Matthew J., Leonard, Nicholas, Raybin, Jonathan G., Utterback, James K., Kim, Ahyoung, Fluerasu, Andrei, Sun, Yanwen, Moeller, Johannes, Zozulya, Alexey, Jo, Wonhyuk, Madsen, Anders, Talapin, Dmitri V., Teitelbaum, Samuel W., Ginsberg, Naomi S.
The ability to understand and ultimately control the transformations and properties of various nanoscale systems, from proteins to synthetic nanomaterial assemblies, hinges on the ability to directly elucidate their dynamics on their characteristic l
Externí odkaz:
http://arxiv.org/abs/2404.17756