Zobrazeno 1 - 10
of 7 812
pro vyhledávání: '"A Alam, Mohammad"'
Autor:
Habib, Md. Rawshan, Yusuf, Md Abu, Warnasuriya, W. M. H Nimsara, Sunny, Kumar, Rahaman, Mohammed Mahbubur, Khan, Md Rezaul Karim, Saha, Partha Pratim, Alam, Mohammad Tanzimul
In light of its many benefits, home automation systems are one of the subjects that are becoming ever more prevalent. The term "home automation" describes the remote monitoring and management of household equipment. The Internet and its usages are co
Externí odkaz:
http://arxiv.org/abs/2411.10472
Autor:
Alam, Mohammad Mahmudul, Oberle, Alexander, Raff, Edward, Biderman, Stella, Oates, Tim, Holt, James
Vector Symbolic Architectures (VSAs) are one approach to developing Neuro-symbolic AI, where two vectors in $\mathbb{R}^d$ are `bound' together to produce a new vector in the same space. VSAs support the commutativity and associativity of this bindin
Externí odkaz:
http://arxiv.org/abs/2410.22669
Motivated by the challenges of analyzing high-dimensional ($p \gg n$) sequencing data from longitudinal microbiome studies, where samples are collected at multiple time points from each subject, we propose supervised functional tensor singular value
Externí odkaz:
http://arxiv.org/abs/2409.13819
Autor:
Faria, Fatema Tuj Johora, Moin, Mukaffi Bin, Mumu, Rabeya Islam, Abir, Md Mahabubul Alam, Alfy, Abrar Nawar, Alam, Mohammad Shafiul
Sentiment analysis is the process of identifying and categorizing people's emotions or opinions regarding various topics. Analyzing political sentiment is critical for understanding the complexities of public opinion processes, especially during elec
Externí odkaz:
http://arxiv.org/abs/2407.19528
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2024
In the rapidly growing field of wearable technology, optical devices are emerging as a significant innovation, offering non-invasive methods for analyzing skin and underlying tissue properties. Despite their promise, progress has been slowed by a lac
Externí odkaz:
http://arxiv.org/abs/2407.11997
Publikováno v:
46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2024
In the U.S., over a third of adults are pre-diabetic, with 80\% unaware of their status. This underlines the need for better glucose monitoring to prevent type 2 diabetes and related heart diseases. Existing wearable glucose monitors are limited by t
Externí odkaz:
http://arxiv.org/abs/2406.16926
Autor:
Alam, Mohammad Shafiul, Faria, Fatema Tuj Johora, Moin, Mukaffi Bin, Wase, Ahmed Al, Sani, Md. Rabius, Hasib, Khan Md
Numerous applications have resulted from the automation of agricultural disease segmentation using deep learning techniques. However, when applied to new conditions, these applications frequently face the difficulty of overfitting, resulting in lower
Externí odkaz:
http://arxiv.org/abs/2405.07332
Autor:
Moin, Mukaffi Bin, Faria, Fatema Tuj Johora, Saha, Swarnajit, Rafa, Busra Kamal, Alam, Mohammad Shafiul
Lung and colon cancer are serious worldwide health challenges that require early and precise identification to reduce mortality risks. However, diagnosis, which is mostly dependent on histopathologists' competence, presents difficulties and hazards w
Externí odkaz:
http://arxiv.org/abs/2405.04610
In Virtual Product Placement (VPP) applications, the discrete integration of specific brand products into images or videos has emerged as a challenging yet important task. This paper introduces a novel three-stage fully automated VPP system. In the f
Externí odkaz:
http://arxiv.org/abs/2405.01130
Malware detection is an interesting and valuable domain to work in because it has significant real-world impact and unique machine-learning challenges. We investigate existing long-range techniques and benchmarks and find that they're not very suitab
Externí odkaz:
http://arxiv.org/abs/2403.17978