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pro vyhledávání: '"Yousefi, Ali"'
Utilization of intracranial electroencephalography (iEEG) is rapidly increasing for clinical and brain-computer interface applications. iEEG facilitates the recording of neural activity with high spatial and temporal resolution, making it a desirable
Externí odkaz:
http://arxiv.org/abs/2408.14477
Land subsidence due to overexploitation of aquifers is often attributed to incoherent public policies. Taking the case of the Mahyar valley in Iran as an example, and based on a mixed-method research design, this study analyses the effects of policy
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A84374
https://tud.qucosa.de/api/qucosa%3A84374/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A84374/attachment/ATT-0/
Autor:
Ziaei, Navid, Stim, Joshua J., Goodman-Keiser, Melanie D., Sponheim, Scott, Widge, Alik S., Krikorian, Sasoun, Yousefi, Ali
Non-parametric models, such as Gaussian Processes (GP), show promising results in the analysis of complex data. Their applications in neuroscience data have recently gained traction. In this research, we introduce a novel neural decoder model built u
Externí odkaz:
http://arxiv.org/abs/2405.05424
Publikováno v:
IEEE Access, vol. 12, pp. 113314-113335, 2024
Extracting meaningful information from high-dimensional data poses a formidable modeling challenge, particularly when the data is obscured by noise or represented through different modalities. This research proposes a novel non-parametric modeling ap
Externí odkaz:
http://arxiv.org/abs/2401.16497
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity
Autor:
Ziaei, Navid, Saadatifard, Reza, Yousefi, Ali, Nazari, Behzad, Cash, Sydney S., Paulk, Angelique C.
Understanding how external stimuli are encoded in distributed neural activity is of significant interest in clinical and basic neuroscience. To address this need, it is essential to develop analytical tools capable of handling limited data and the in
Externí odkaz:
http://arxiv.org/abs/2307.15672
Initiativ för en hållbar operativ produktionsplanering inom träindustrin : En fallstudie vid ESS-ENN
Autor:
Samuelsson, Martin, Yousefi, Ali
Titel: Initiativ för en hållbar operativ produktionsplanering inom träindustrin - En fallstudie vid ESS-ENN Kurs: 4FE19E Examensarbete i Supply Chain Management för Civilekonomprogrammet, 30 HP. Författare: Ali Yousefi & Martin Samuelsson Exami
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-114493
There is a huge problem and time-consuming computation to optimize the IMRT treatment plan. Extracting the optimized plan from the predicted 3D3 so-called optimizing the KBP is also involved in this challenge. Some algorithms and methods have been pr
Externí odkaz:
http://arxiv.org/abs/2209.02490
In this paper knowledge based planning has been revolutionized via a novel mathematical model which converts three dimensional dose distribution (3D3) prediction to a clinical utilizable IMRT treatment plan. Presented model has benefited from both pr
Externí odkaz:
http://arxiv.org/abs/2206.05834
The state-space models (SSMs) are widely utilized in the analysis of time-series data. SSMs rely on an explicit definition of the state and observation processes. Characterizing these processes is not always easy and becomes a modeling challenge when
Externí odkaz:
http://arxiv.org/abs/2205.10947
Autor:
Khodabandeh, Alireza, Yousefi, Ali Akbar, Jafarzadeh-Holagh, Samira, Vasheghani-Farahani, Ebrahim
Publikováno v:
In Biomaterials Advances January 2025 166