Zobrazeno 1 - 10
of 12 385
pro vyhledávání: '"P Nahid"'
Autor:
Hasan, Md Nahid, Paul, Sharat, Greenwood, Taylor E., Parker, Robert G., Kong, Yong Lin, Wang, Pai
We investigate the effect of a constant static bias force on the dynamically induced shape morphing of a pre-buckled bistable beam, focusing on the beam's ability to change its vibration to be near different stable states under harmonic excitation. O
Externí odkaz:
http://arxiv.org/abs/2409.18942
Autor:
Liang, Jing, Das, Dibyendu, Song, Daeun, Shuvo, Md Nahid Hasan, Durrani, Mohammad, Taranath, Karthik, Penskiy, Ivan, Manocha, Dinesh, Xiao, Xuesu
Navigating large-scale outdoor environments requires complex reasoning in terms of geometric structures, environmental semantics, and terrain characteristics, which are typically captured by onboard sensors such as LiDAR and cameras. While current mo
Externí odkaz:
http://arxiv.org/abs/2409.14262
Autor:
Chou, Jason Chuan-Chih, Alam, Nahid
Since the publication of CLIP, the approach of using InfoNCE loss for contrastive pre-training has become widely popular for bridging two or more modalities. Despite its wide adoption, CLIP's original design choices of L2 normalization and cosine sim
Externí odkaz:
http://arxiv.org/abs/2409.13079
Autor:
Ahmed, Istiak, Hossain, Md. Tanzim, Nahid, Md. Zahirul Islam, Sanjid, Kazi Shahriar, Junayed, Md. Shakib Shahariar, Uddin, M. Monir, Khan, Mohammad Monirujjaman
This study presents an advanced approach to lumbar spine segmentation using deep learning techniques, focusing on addressing key challenges such as class imbalance and data preprocessing. Magnetic resonance imaging (MRI) scans of patients with low ba
Externí odkaz:
http://arxiv.org/abs/2409.06018
Autor:
Sakib, Nazmus, Ali, Md Yeasin, Momo, Nuran Mubashshira, Mumu, Marzia Islam, Nahid, Masum Al, Chowdhury, Fairuz Rahaman, Ferdous, Md Sadek
The popularity of the Internet of Things (IoT) has driven its usage in our homes and industries over the past 10-12 years. However, there have been some major issues related to identity management and ownership transfer involving IoT devices, particu
Externí odkaz:
http://arxiv.org/abs/2408.17184
Autor:
Islam, Saiful, Hasan, Md. Nahid
Cancer is a highly heterogeneous disease with significant variability in molecular features and clinical outcomes, making diagnosis and treatment challenging. In recent years, high-throughput omic technologies have facilitated the discovery of mechan
Externí odkaz:
http://arxiv.org/abs/2408.08832
The increasing prevalence of graph-structured data across various domains has intensified greater interest in graph classification tasks. While numerous sophisticated graph learning methods have emerged, their complexity often hinders practical imple
Externí odkaz:
http://arxiv.org/abs/2408.05474
Autor:
Li, Honggui, Chen, Sinan, Hossain, Nahid Md Lokman, Trocan, Maria, Galayko, Dimitri, Sawan, Mohamad
Learned image compression (LIC) is currently the cutting-edge method. However, the inherent difference between testing and training images of LIC results in performance degradation to some extent. Especially for out-of-sample, out-of-distribution, or
Externí odkaz:
http://arxiv.org/abs/2407.15870
Autor:
Nahid, Md Mahadi Hasan, Rafiei, Davood
In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities in parsing textual data and generating code. However, their performance in tasks involving tabular data, especially those requiring symbolic reasoning, faces chal
Externí odkaz:
http://arxiv.org/abs/2406.17961
Autor:
Sikder, Niloy, Khan, Md. Al-Masrur, Bairagi, Anupam Kumar, Masud, Mehedi, Tiang, Jun Jiat, Nahid, Abdullah-Al
Viruses are submicroscopic agents that can infect all kinds of lifeforms and use their hosts' living cells to replicate themselves. Despite having some of the simplest genetic structures among all living beings, viruses are highly adaptable, resilien
Externí odkaz:
http://arxiv.org/abs/2405.15563