E-LIB Suche - Ergebnisse für: Sarikhani, Parisa

1

Reinforcement learning for closed-loop regulation of cardio..:

Sarikhani, Parisa ; Hsu, Hao-Lun ; Zeydabadinezhad, Mahmoud...
Journal of Neural Engineering. 21 (2024) 3 - p. 036027 , 2024

Link: https://doi.org/10.1088/..

2

ID: 221649 Sleep and Physical Activity From Wearables as Al..:

Wilson, Derron ; Hagedorn, Jonathan ; Christopher, Anne...
Neuromodulation: Technology at the Neural Interface. 26 (2023) 4 - p. S126 , 2023

Link: https://doi.org/10.1016/..

3

CONTROL-CORE: A Framework for Simulation and Design of Clos..:

Kathiravelu, Pradeeban ; Arnold, Mark ; Fleischer, Jake...
IEEE Access. 10 (2022) - p. 36268-36285 , 2022

Link: https://doi.org/10.1109/..

4

Yin-Yang: Programming Abstractions for Cross-Domain Multi-A..:

Kim, Joon Kyung ; Ahn, Byung Hoon ; Kinzer, Sean...
IEEE Micro. 42 (2022) 5 - p. 89-98 , 2022

Link: https://doi.org/10.1109/..

5

Automated Tuning of Closed-loop Neuromodulation Control Sys..:

, In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),

Sarikhani, Parisa ; Hsu, Hao-Lun ; Mahmoudi, Babak - p. 1734-1737 , 2022

Link: https://doi.org/10.1109/..

6

Automated deep brain stimulation programing with safety con..:

Sarikhani, Parisa ; Ferleger, Benjamin ; Herron, Jeffrey..
Brain Stimulation. 14 (2021) 6 - p. 1699-1700 , 2021

Link: https://doi.org/10.1016/..

7

Neuroweaver: a platform for designing intelligent closed-lo..:

Sarikhani, Parisa ; Hsu, Hao-Lun ; Kara, Ozgur...
Brain Stimulation. 14 (2021) 6 - p. 1661 , 2021

Link: https://doi.org/10.1016/..

8

Software-Defined Workflows for Distributed Interoperable Cl..:

Kathiravelu, Pradeeban ; Sarikhani, Parisa ; Gu, Ping.
IEEE Access. 9 (2021) - p. 131733-131745 , 2021

Link: https://doi.org/10.1109/..

9

Determining Gender and Age by Mandibular Anatomy Landmarks ..:

Shams, Nasim ; Razavi, Mahshid ; Mehrabi, Azar..
Journal of Molecular Biology Research. 9 (2019) 1 - p. 33 , 2019

Link: https://doi.org/10.5539/..

10

Towards automated patient-specific optimization of deep bra..:

, In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),

Sarikhani, Parisa ; Miocinovic, Svjetlana ; Mahmoudi, Babak - p. 6159-6162 , 2019

Link: https://doi.org/10.1109/..

11

Yin-Yang: Programming Abstractions for Cross-Domain Multi-A..:

Kim, Joon Kyung ; Ahn, Byung Hoon ; Kinzer, Sean...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10065469/. , 2022

Link: http://www.ncbi.nlm.nih...

12

CONTROL-CORE: A Framework for Simulation and Design of Clos..:

Kathiravelu, Pradeeban ; Arnold, Mark ; Fleischer, Jake...
https://scholarworks.sjsu.edu/faculty_rsca/3067. , 2022

Link: https://scholarworks.sjs..

13

Automated deep brain stimulation programming with safety co..:

Sarikhani, Parisa ; Ferleger, Benjamin ; Mitchell, Kyle...
qt1hq4d8n0. , 2022

Link: https://escholarship.org..

14

CONTROL-CORE: A Framework for Simulation and Design of Clos..:

KATHIRAVELU, PRADEEBAN ; ARNOLD, MARK ; FLEISCHER, JAKE...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531851/. , 2022

Link: http://www.ncbi.nlm.nih...

15

CONTROL-CORE: A Framework for Simulation and Design of Clos..:

Pradeeban Kathiravelu ; Mark Arnold ; Jake Fleischer...
https://ieeexplore.ieee.org/document/9739711/. , 2022

Link: https://doi.org/10.1109/..