Results 211 to 220 of about 29,826 (267)
EEG imagined speech neuro-signal preprocessing and deep learning classification. [PDF]
Elwasify F, Shaaban E, Abdelmoneem RM.
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Evaluating Neural Networks Architectures for Competency Prediction from Process Data Using PISA Computer-Based Mathematics Assessment. [PDF]
Kuang H.
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Emotion recognition based on the temporal patterns of electroencephalogram signals and electrodermal response signals using the TRANSFORMER network. [PDF]
Ma Z.
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Spatio-temporal epidemic forecasting with graph-based transformer. [PDF]
Ezzat M, Malek YM, AbdelKader T, Badr N.
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Deep learning for genomic insights into athletic performance in sports education. [PDF]
Dong B, Lv Q.
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AutoMamba: Efficient Autonomous Driving Segmentation Model with Mamba. [PDF]
Sun H, Li Z, Zhu S.
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Proceedings. Sixth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Cat. No.98TB100247), 2002
This paper presents a modeling approach based on deterministic and stochastic Petri nets (DSPN) for analyzing the performance of node architectures for MIMD multiprocessor systems with distributed memory. DSPN are a numerically solvable modeling formalism with a graphical representation.
Wolfgang K. Giloi +2 more
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This paper presents a modeling approach based on deterministic and stochastic Petri nets (DSPN) for analyzing the performance of node architectures for MIMD multiprocessor systems with distributed memory. DSPN are a numerically solvable modeling formalism with a graphical representation.
Wolfgang K. Giloi +2 more
openaire +1 more source
Modeling a Multiprocessor Architecture
IEEE Transactions on Software Engineering, 1983Instead of using a very expensive and powerful central processing unit, the Hypercube F8 uses independent parallel microprocessors that are slow and inexpensive. This architecture is modeled in order to determine the proper number of microprocessors and to validate the system. The model is hierarchical.
Jean René Ménand, Monique Becker
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Software Architectures and Coordination Models
The Journal of Supercomputing, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
INVERARDI, PAOLA, MUCCINI, HENRY
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