Zobrazeno 1 - 10
of 255
pro vyhledávání: '"Babak Nadjar araabi"'
Publikováno v:
NeuroImage, Vol 297, Iss , Pp 120684- (2024)
Understanding the complex mechanisms of the brain can be unraveled by extracting the Dynamic Effective Connectome (DEC). Recently, score-based Directed Acyclic Graph (DAG) discovery methods have shown significant improvements in extracting the causal
Externí odkaz:
https://doaj.org/article/68de578965984dbfa57a50ad7388276f
Publikováno v:
Information, Vol 15, Iss 10, p 590 (2024)
The onset of the COVID-19 pandemic has compelled a swift transformation in higher-education methodologies, particularly in the domain of course modality. This study highlights the potential for artificial intelligence and machine learning to improve
Externí odkaz:
https://doaj.org/article/3d434c76022842a1b6aa43126f6f2cba
Publikováno v:
Journal of Robotics, Vol 2020 (2020)
Programming by demonstrations is one of the most efficient methods for knowledge transfer to develop advanced learning systems, provided that teachers deliver abundant and correct demonstrations, and learners correctly perceive them. Nevertheless, de
Externí odkaz:
https://doaj.org/article/b18600c504f84c9ea356e2208464cc5e
Autor:
Abdol-Hossein Vahabie, Mohammad-Reza A. Dehaqani, Majid Nili Ahmadabadi, Babak Nadjar Araabi, Hossein Esteky
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-13 (2017)
Abstract Neuronal networks of the brain adapt their information processing according to the history of stimuli. Whereas most studies have linked adaptation to repetition suppression, recurrent connections within a network and disinhibition due to ada
Externí odkaz:
https://doaj.org/article/d104122ef01649ccb44f3493f55dd80f
Publikováno v:
Journal of Medical Signals and Sensors, Vol 6, Iss 3, Pp 183-193 (2016)
Acute myelogenous leukemia (AML) is a subtype of acute leukemia, which is characterized by the accumulation of myeloid blasts in the bone marrow. Careful microscopic examination of stained blood smear or bone marrow aspirate is still the most signifi
Externí odkaz:
https://doaj.org/article/bfad10f4f58d40a6b620079865c170cd
Publikováno v:
Promet (Zagreb), Vol 26, Iss 5, Pp 393-403 (2014)
Traffic flow forecasting is useful for controlling traffic flow, traffic lights, and travel times. This study uses a multi-layer perceptron neural network and the mutual information (MI) technique to forecast traffic flow and compares the prediction
Externí odkaz:
https://doaj.org/article/7e0fd66ba411412f9046d3ce4f8b3b87
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 3, Iss 1, Pp 21-31 (2011)
Transferring information in an organized and coordinated way is an effective factor in forming innovative mentality in learner. Content organization has a significant role on this mentality formation. The objective of content organization may be repr
Externí odkaz:
https://doaj.org/article/983a7d77448e45a9860aaad8426f6279
Publikováno v:
Entropy, Vol 13, Iss 2, Pp 450-465 (2011)
Hierarchical clustering has been extensively used in practice, where clusters can be assigned and analyzed simultaneously, especially when estimating the number of clusters is challenging. However, due to the conventional proximity measures recruited
Externí odkaz:
https://doaj.org/article/72dc611479ed4fb6b58253959055887b
Publikováno v:
آموزش مهندسی ایران, Vol 10, Iss 38, Pp 29-40 (2008)
In this paper, we provided our critical views on restructuring the Electrical Engineering education at bachelor¬,s level in Iran. We particularly discussed the conclusions and suggestions that are resulted from a study at Sharif University of Techno
Externí odkaz:
https://doaj.org/article/d9058b4a922543b6a005055350cba4f4
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
This work addresses the increasing demand for a sensitive and user-friendly iris based authentication system. We aim at reducing False Rejection Rate (FRR). The primary source of high FRR is the presence of degradation factors in iris texture. To red
Externí odkaz:
https://doaj.org/article/f25253307440485a891c122ae8a87eee