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A novel approach for brain connectivity using recurrent neural networks and integrated gradients
JS Kim - Computers in Biology and Medicine, 2025 - Elsevier
Brain connectivity is an important tool for understanding the cognitive and perceptive neural
mechanisms in the neuroimaging field. Many methods for estimating effective connectivity …
mechanisms in the neuroimaging field. Many methods for estimating effective connectivity …
Adaptive distributed explicit model predictive controller with road surface identification for HM-AS
Y Zhou, X Chen, Z Li, X Wang, Y Yu - Nonlinear Dynamics, 2024 - Springer
The rapid advancement of hub-motor electric vehicle (HMEV) is propelled by its capacity to
significantly improve energy efficiency, handling dynamics, and space utilization while …
significantly improve energy efficiency, handling dynamics, and space utilization while …
HPO Based Enhanced Elman Spike Neural Network for Detecting Speech of People with Dysarthria
P Kumar, MT Ahmad, R Kumari - Optical Memory and Neural Networks, 2024 - Springer
Motor speech condition called dysarthria is caused by a lack of movement in the lips,
tongue, vocal cords, and diaphragm are a few of the muscles needed to produce speech …
tongue, vocal cords, and diaphragm are a few of the muscles needed to produce speech …