Zobrazeno 1 - 10
of 26 472
pro vyhledávání: '"A Dehghan"'
Autor:
M Rostami Chijan, A Dehghan, M Kazemi, MM Naghizadeh, M Emkani, M Bijani, M Farjam, R Homayounfar, N Samimi, M Sedigh Rahimabadi, A Ghaemi
Publikováno v:
Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Bābul, Vol 26, Pp 0-0 (2024)
Background and Objective: Chronic kidney disease is a major health problem that is associated with low quality of life and premature death. According to the contradictory results of some studies regarding the effect of exercise and physical activity
Externí odkaz:
https://doaj.org/article/61aa70b0a4cb47d69ce5a79755d37fbb
Autor:
A Abedini, A Dehghan Anari
Publikováno v:
Iranian Journal of Physics Research, Vol 21, Iss 4, Pp 725-734 (2022)
Oscillations in various structures of the solar atmosphere, such as transverse (kink) oscillations of coronal loops, can be used in seismology. Transvers kink oscillations of coronal loops are often accompanied by solar flares. Despite the intensive
Externí odkaz:
https://doaj.org/article/a71216370e274835bacdfa41e894b73b
We consider indoor 3D object detection with respect to a single RGB(-D) frame acquired from a commodity handheld device. We seek to significantly advance the status quo with respect to both data and modeling. First, we establish that existing dataset
Externí odkaz:
http://arxiv.org/abs/2412.04458
Two-photon states generated through degenerate spontaneous parametric down-conversion (SPDC) can exhibit sharp correlations in the transverse spatial coordinates. This effect, associated with the separability of the biphoton wavefunction into functio
Externí odkaz:
http://arxiv.org/abs/2410.22635
Autor:
Przystupa, Michael, Johnstonbaugh, Kerrick, Zhang, Zichen, Petrich, Laura, Dehghan, Masood, Haghverd, Faezeh, Jagersand, Martin
Publikováno v:
IEEE International Conference on Robotics and Automation (ICRA), 2023, pp. 857-863
Identifying an appropriate task space that simplifies control solutions is important for solving robotic manipulation problems. One approach to this problem is learning an appropriate low-dimensional action space. Linear and nonlinear action mapping
Externí odkaz:
http://arxiv.org/abs/2410.21441
Autor:
Zhang, Haotian, Gao, Mingfei, Gan, Zhe, Dufter, Philipp, Wenzel, Nina, Huang, Forrest, Shah, Dhruti, Du, Xianzhi, Zhang, Bowen, Li, Yanghao, Dodge, Sam, You, Keen, Yang, Zhen, Timofeev, Aleksei, Xu, Mingze, Chen, Hong-You, Fauconnier, Jean-Philippe, Lai, Zhengfeng, You, Haoxuan, Wang, Zirui, Dehghan, Afshin, Grasch, Peter, Yang, Yinfei
We present MM1.5, a new family of multimodal large language models (MLLMs) designed to enhance capabilities in text-rich image understanding, visual referring and grounding, and multi-image reasoning. Building upon the MM1 architecture, MM1.5 adopts
Externí odkaz:
http://arxiv.org/abs/2409.20566
[Context] Large Language Models (LLMs) have shown good performance in several software development-related tasks such as program repair, documentation, code refactoring, debugging, and testing. Adapters are specialized, small modules designed for par
Externí odkaz:
http://arxiv.org/abs/2408.09568
Autor:
Karakaya, Erciyes, Ercetin, Ozgur, Ozkan, Huseyin, Karaca, Mehmet, Biyar, Elham Dehghan, Palaios, Alexandros
The growing complexity of networks and the variety of future scenarios with diverse and often stringent performance requirements call for a higher level of automation. Intent-based management emerges as a solution to attain high level of automation,
Externí odkaz:
http://arxiv.org/abs/2407.17767
Autor:
Xu, Mingze, Gao, Mingfei, Gan, Zhe, Chen, Hong-You, Lai, Zhengfeng, Gang, Haiming, Kang, Kai, Dehghan, Afshin
We propose SlowFast-LLaVA (or SF-LLaVA for short), a training-free video large language model (LLM) that can jointly capture detailed spatial semantics and long-range temporal context without exceeding the token budget of commonly used LLMs. This is
Externí odkaz:
http://arxiv.org/abs/2407.15841
Autor:
Bruns, Axel, Kasianenko, Kateryna, Suresh, Vishnu Padinjaredath, Dehghan, Ehsan, Vodden, Laura
This article introduces the analytical approach of practice mapping, using vector embeddings of network actions and interactions to map commonalities and disjunctures in the practices of social media users, as a framework for methodological advanceme
Externí odkaz:
http://arxiv.org/abs/2407.05956