Zobrazeno 1 - 10
of 3 624
pro vyhledávání: '"Hasan, Mohammad A."'
Autor:
Zafar, Saifuddin, Ehsan, Mashaekh Tausif, Suvro, Sourav Das, Islam, Mahmudul, Hasan, Mohammad Nasim
Refractory high-entropy alloys (RHEAs) are a promising class of materials with potential applications in extreme environments, where the dominant failure mode is thermal creep. The design of these alloys, therefore, requires an understanding of how t
Externí odkaz:
http://arxiv.org/abs/2412.00588
Autor:
Ehsan, Mashaekh Tausif, Zafar, Saifuddin, Sarker, Apurba, Suvro, Sourav Das, Hasan, Mohammad Nasim
Machine learning (ML) methods have drawn significant interest in material design and discovery. Graph neural networks (GNNs), in particular, have demonstrated strong potential for predicting material properties. The present study proposes a graph-bas
Externí odkaz:
http://arxiv.org/abs/2411.13670
Medium and high-entropy alloys (M/HEAs) have garnered significant attention as potential nuclear structural materials due to their excellent stability at high temperatures and resistance to radiation. However, the common use of Co in M/HEAs, which ex
Externí odkaz:
http://arxiv.org/abs/2411.13665
In e-commerce, ranking the search results based on users' preference is the most important task. Commercial e-commerce platforms, such as, Amazon, Alibaba, eBay, Walmart, etc. perform extensive and relentless research to perfect their search result r
Externí odkaz:
http://arxiv.org/abs/2412.03581
As recruitment and talent acquisition have become more and more competitive, recruitment firms have become more sophisticated in using machine learning (ML) methodologies for optimizing their day to day activities. But, most of published ML based met
Externí odkaz:
http://arxiv.org/abs/2411.15182
This paper, for the first time, presents a low-complexity peak-power-assisted data-aided channel estimation (DACE) scheme for both single-input single-output (SISO) and multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-O
Externí odkaz:
http://arxiv.org/abs/2410.05722
This paper introduces the Contextual Language model for Accurate Imputation Method (CLAIM), a novel strategy that capitalizes on the expansive knowledge and reasoning capabilities of pre-trained large language models (LLMs) to address missing data ch
Externí odkaz:
http://arxiv.org/abs/2405.17712
To bridge the fractal and non-fractal potentials we introduce the concept of generalized unified Cantor potential (GUCP) with the key parameter $N$ which represents the potential count at the stage $S=1$. This system is characterized by total span $L
Externí odkaz:
http://arxiv.org/abs/2405.11617
Discovering features that set elite players apart is of great significance for eSports coaches as it enables them to arrange a more effective training program focused on improving those features. Moreover, finding such features results in a better ev
Externí odkaz:
http://arxiv.org/abs/2407.11972
For natural language understanding and generation, embedding concepts using an order-based representation is an essential task. Unlike traditional point vector based representation, an order-based representation imposes geometric constraints on the r
Externí odkaz:
http://arxiv.org/abs/2404.10924