E-LIB Suche - Ergebnisse für: Hasan, Nahian Ibn

1

DeeptDCS: Deep Learning-Based Estimation of Currents Induce..:

Jia, Xiaofan ; Sayed, Sadeed Bin ; Hasan, Nahian Ibn...
IEEE Transactions on Biomedical Engineering. 70 (2023) 4 - p. 1231-1241 , 2023

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

2

Analytical Study of 1D Monocrystal Graphene Island based Si..:

, In: 2022 12th International Conference on Electrical and Computer Engineering (ICECE),

Abir Hossain, S.M. ; Hasan, Nahian Ibn ; Mominuzzaman, Sharif Mohammad - p. 481-484 , 2022

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

3

A Hybrid Method of Covid-19 Patient Detection from Modified..:

Hasan, Nahian Ibn
Computer Methods and Programs in Biomedicine Update. 1 (2021) - p. 100022 , 2021

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

4

A Cyber-Secured MQTT based Offline Automation System:

, In: 2019 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET),

Hasan, Nahian Ibn ; Hasan, Md. Tasnimul ; Turja, Nazmul Haque... - p. 479-484 , 2019

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

5

Deep Learning Approach to Cardiovascular Disease Classifica..:

Hasan, Nahian Ibn ; Bhattacharjee, Arnab
Biomedical Signal Processing and Control. 52 (2019) - p. 128-140 , 2019

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

6

Bird Species Classification And Acoustic Features Selection..:

Hasan, Nahian Ibn
http://arxiv.org/abs/2201.00124. , 2022

Link: http://arxiv.org/abs/220..

7

DeeptDCS: Deep Learning-Based Estimation of Currents Induce..:

Jia, Xiaofan ; Sayed, Sadeed Bin ; Hasan, Nahian Ibn...
http://arxiv.org/abs/2205.01858. , 2022

Link: http://arxiv.org/abs/220..

8

A Hybrid Method of Covid-19 Patient Detection from Modified..:

Nahian Ibn Hasan
http://www.sciencedirect.com/science/article/pii/S2666990021000215. , 2021

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

9

Intracranial Hemorrhage Detection on CT Scan Images using T..:

, In: Proceedings of the 2nd International Conference on Computing Advancements,

Rahman, Afridi Ibn ; Bhuiyan, Subhi ; Reza, Ziad Hasan... - p. 171-177 , 2022

Link: https://dl.acm.org/doi/1..

10

Electric Field Modeling in Personalizing Transcranial Magne..:

Dannhauer, Moritz ; Gomez, Luis J. ; Robins, Pei L....
Biological Psychiatry. 95 (2024) 6 - p. 494-501 , 2024

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

11

Brain tumor detection using proper orthogonal decomposition..:

Appiah, Rita ; Pulletikurthi, Venkatesh ; Esquivel-Puentes, Helber Antonio...
Computer Methods and Programs in Biomedicine. 250 (2024) - p. 108167 , 2024

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

12

Fast and accurate computational E-field dosimetry for group..:

Hasan, Nahian I. ; Wang, Dezhi ; Gomez, Luis J.
Computers in Biology and Medicine. 167 (2023) - p. 107614 , 2023

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

13

Fast Computational Dosimetry of Transcranial Electric Stimu..:

, In: 2023 International Applied Computational Electromagnetics Society Symposium (ACES),

Wang, Dezhi ; Hasan, Nahian I. ; Gomez, Luis J. - p. 1-2 , 2023

Link: https://doi.org/10.23919..

14

Fast computational E-field dosimetry for transcranial magne..:

Wang, Dezhi ; Hasan, Nahian I. ; Dannhauer, Moritz..
NeuroImage. 267 (2023) - p. 119850 , 2023

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

15

Fast solvers for population-level optimization and uncertai..:

Hasan, Nahian I. ; Wang, Dezhi ; Gomez, Luis
Brain Stimulation. 16 (2023) 1 - p. 361 , 2023

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