Zobrazeno 1 - 10
of 2 702
pro vyhledávání: '"Karimzadeh P"'
Autor:
Pandey, Shilpi, del Moral, Jaime, Jacob, Stefan, Montes, Laura, Gil-Rostra, Jorge, Frechilla, Alejandro, Karimzadeh, Atefeh, Rico, Victor J., Kantar, Raul, Kandelin, Niklas, Santos, Carmen Lopez, Koivuluoto, Heli, Angurel, Luis, Winkler, Andreas, Borras, Ana, Elipe, Agustin R. Gonzalez
Acoustic waves (AW) have recently emerged as an energy-efficient ice removal procedure compatible with functional and industrial-relevant substrates. However, critical aspects at fundamental and experimental levels have yet to be disclosed to optimiz
Externí odkaz:
http://arxiv.org/abs/2408.05465
Autor:
Vahedi, Behzad, Lucas, Benjamin, Banaei-Kashani, Farnoush, Barrett, Andrew P., Meier, Walter N., Khalsa, Siri Jodha, Karimzadeh, Morteza
Sea ice, crucial to the Arctic and Earth's climate, requires consistent monitoring and high-resolution mapping. Manual sea ice mapping, however, is time-consuming and subjective, prompting the need for automated deep learning-based classification app
Externí odkaz:
http://arxiv.org/abs/2406.03645
Publikováno v:
Balkan Journal of Medical Genetics, Vol 22, Iss 1, Pp 95-98 (2019)
Congenital myasthenic syndrome (CMS) constitutes a group of inherited disorders of neuromuscular junctions. The majority of postsynaptic syndromes result from mutations in the CHRNE gene that causes muscle nicotine acetylcholine deficiency. In this s
Externí odkaz:
https://doaj.org/article/1bcbd0649ae746359716ae68ee1369a6
Autor:
Huijben, Evi M. C., Terpstra, Maarten L., Galapon, Arthur Jr., Pai, Suraj, Thummerer, Adrian, Koopmans, Peter, Afonso, Manya, van Eijnatten, Maureen, Gurney-Champion, Oliver, Chen, Zeli, Zhang, Yiwen, Zheng, Kaiyi, Li, Chuanpu, Pang, Haowen, Ye, Chuyang, Wang, Runqi, Song, Tao, Fan, Fuxin, Qiu, Jingna, Huang, Yixing, Ha, Juhyung, Park, Jong Sung, Alain-Beaudoin, Alexandra, Bériault, Silvain, Yu, Pengxin, Guo, Hongbin, Huang, Zhanyao, Li, Gengwan, Zhang, Xueru, Fan, Yubo, Liu, Han, Xin, Bowen, Nicolson, Aaron, Zhong, Lujia, Deng, Zhiwei, Müller-Franzes, Gustav, Khader, Firas, Li, Xia, Zhang, Ye, Hémon, Cédric, Boussot, Valentin, Zhang, Zhihao, Wang, Long, Bai, Lu, Wang, Shaobin, Mus, Derk, Kooiman, Bram, Sargeant, Chelsea A. H., Henderson, Edward G. A., Kondo, Satoshi, Kasai, Satoshi, Karimzadeh, Reza, Ibragimov, Bulat, Helfer, Thomas, Dafflon, Jessica, Chen, Zijie, Wang, Enpei, Perko, Zoltan, Maspero, Matteo
Radiation therapy plays a crucial role in cancer treatment, necessitating precise delivery of radiation to tumors while sparing healthy tissues over multiple days. Computed tomography (CT) is integral for treatment planning, offering electron density
Externí odkaz:
http://arxiv.org/abs/2403.08447
Online customer data provides valuable information for product design and marketing research, as it can reveal the preferences of customers. However, analyzing these data using artificial intelligence (AI) for data-driven design is a challenging task
Externí odkaz:
http://arxiv.org/abs/2402.05949
Autor:
Consens, Micaela E., Dufault, Cameron, Wainberg, Michael, Forster, Duncan, Karimzadeh, Mehran, Goodarzi, Hani, Theis, Fabian J., Moses, Alan, Wang, Bo
In the rapidly evolving landscape of genomics, deep learning has emerged as a useful tool for tackling complex computational challenges. This review focuses on the transformative role of Large Language Models (LLMs), which are mostly based on the tra
Externí odkaz:
http://arxiv.org/abs/2311.07621
Publikováno v:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, pp. 145-148
Up-to-date sea ice charts are crucial for safer navigation in ice-infested waters. Recently, Convolutional Neural Network (CNN) models show the potential to accelerate the generation of ice maps for large regions. However, results from CNN models sti
Externí odkaz:
http://arxiv.org/abs/2310.17135
Publikováno v:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 1983-1986
Deploying deep learning on Synthetic Aperture Radar (SAR) data is becoming more common for mapping purposes. One such case is sea ice, which is highly dynamic and rapidly changes as a result of the combined effect of wind, temperature, and ocean curr
Externí odkaz:
http://arxiv.org/abs/2310.17126
Autor:
de Lima, Rafael Pires, Vahedi, Behzad, Hughes, Nick, Barrett, Andrew P., Meier, Walter, Karimzadeh, Morteza
Publikováno v:
International Journal of Remote Sensing 4:17, 5344-5374 (20230
Due to the growing volume of remote sensing data and the low latency required for safe marine navigation, machine learning (ML) algorithms are being developed to accelerate sea ice chart generation, currently a manual interpretation task. However, th
Externí odkaz:
http://arxiv.org/abs/2310.17122
Autor:
Karimzadeh, Mohammad, Basvoju, Deekshith, Vakanski, Aleksandar, Charit, Indrajit, Xu, Fei, Zhang, Xinchang
Publikováno v:
Materials. 2024; 17(15):3673
Additive Manufacturing (AM) is a transformative manufacturing technology enabling direct fabrication of complex parts layer-be-layer from 3D modeling data. Among AM applications, the fabrication of Functionally Graded Materials (FGMs) has significant
Externí odkaz:
http://arxiv.org/abs/2309.16571