Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ahamed, Md Atik"'
Autor:
Ahamed, Md Atik, Cheng, Qiang
Time series classification (TSC) on multivariate time series is a critical problem. We propose a novel multi-view approach integrating frequency-domain and time-domain features to provide complementary contexts for TSC. Our method fuses continuous wa
Externí odkaz:
http://arxiv.org/abs/2406.04419
Autor:
Ahamed, Md Atik, Cheng, Qiang
Long-term time-series forecasting remains challenging due to the difficulty in capturing long-term dependencies, achieving linear scalability, and maintaining computational efficiency. We introduce TimeMachine, an innovative model that leverages Mamb
Externí odkaz:
http://arxiv.org/abs/2403.09898
Autor:
Ahamed, Md Atik, Cheng, Qiang
Despite the prevalence of images and texts in machine learning, tabular data remains widely used across various domains. Existing deep learning models, such as convolutional neural networks and transformers, perform well however demand extensive prep
Externí odkaz:
http://arxiv.org/abs/2401.08867
Medical image classification is one of the most important tasks for computer-aided diagnosis. Deep learning models, particularly convolutional neural networks, have been successfully used for disease classification from medical images, facilitated by
Externí odkaz:
http://arxiv.org/abs/2305.02927
Autor:
Ahamed, Md. Atik, Sadia, Rabeya Tus
Distinguishing normal from malignant and determining the tumor type are critical components of brain tumor diagnosis. Two different kinds of dataset are investigated using state-of-the-art CNN models in this research work. One dataset(binary) has ima
Externí odkaz:
http://arxiv.org/abs/2206.01735
Autor:
Lee, Wonkyeong, Wagner, Fabian, Galdran, Adrian, Shi, Yongyi, Xia, Wenjun, Wang, Ge, Mou, Xuanqin, Ahamed, Md. Atik, Imran, Abdullah Al Zubaer, Oh, Ji Eun, Kim, Kyungsang, Baek, Jong Tak, Lee, Dongheon, Hong, Boohwi, Tempelman, Philip, Lyu, Donghang, Kuiper, Adrian, van Blokland, Lars, Calisto, Maria Baldeon, Hsieh, Scott, Han, Minah, Baek, Jongduk, Maier, Andreas, Wang, Adam, Gold, Garry Evan, Choi, Jang-Hwan
Publikováno v:
In Medical Image Analysis January 2025 99
Autor:
Giger, Maryellen L., Whitney, Heather M., Drukker, Karen, Li, Hui, Ahamed, Md Atik, McFarland, Braxton, Wang, Xiaoqin, Chen, Jin, Imran, Abdullah-Al-Zubaer
Publikováno v:
Proceedings of SPIE; May 2024, Vol. 13174 Issue: 1 p131741S-131741S-5, 1185675p