E-LIB Suche - Ergebnisse für: Chavez, Fredo

1

Machine Learning-Based Large-Signal Parameter Extraction fo..:

Chavez, Fredo ; Khandelwal, Sourabh
IEEE Microwave and Wireless Technology Letters. 34 (2024) 2 - p. 147-150 , 2024

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

2

A Neural Network-based Manufacturing Variability Modeling o..:

, In: 2024 IEEE 36th International Conference on Microelectronic Test Structures (ICMTS),

Chavez, Fredo ; Bavi, Danial ; Miller, Nicholas C.. - p. 1-4 , 2024

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

3

A single neural network global I-V and C-V parameter extrac..:

Chen, Jen-Hao ; Chavez, Fredo ; Tung, Chien-Ting..
Solid-State Electronics. 216 (2024) - p. 108898 , 2024

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

4

I-V Global Parameter Extraction for Industry Standard FinFE..:

, In: 2023 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT),

Chavez, Fredo ; Chen, Jen-Hao ; Tung, Chien-Ting.. - p. 20-22 , 2023

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

5

Deep Learning-Based ASM-HEMT High Frequency Parameter Extra..:

, In: 2023 IEEE Wireless and Microwave Technology Conference (WAMICON),

Chavez, Fredo ; Khandelwal, Sourabh - p. 41-44 , 2023

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

6

Deep learning-based I-V Global Parameter Extraction for BSI..:

Chavez, Fredo ; Tung, Chien-Ting ; Kao, Ming-Yen...
Solid-State Electronics. 209 (2023) - p. 108766 , 2023

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

7

Statistical Modeling of Manufacturing Variability in GaN HE..:

, In: 2022 IEEE/MTT-S International Microwave Symposium - IMS 2022,

Chavez, Fredo ; Miller, Nicholas C. ; Davis, Devin T.. - p. 375-377 , 2022

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

8

Deep Learning-Based ASM-HEMT I-V Parameter Extraction:

Chavez, Fredo ; Davis, Devin T. ; Miller, Nicholas C..
IEEE Electron Device Letters. 43 (2022) 10 - p. 1633-1636 , 2022

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

9

Dual-Layer Waveform Domain Deep Learning Approach for RF Fi..:

, In: 2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS),

Chavez, Fredo ; Li, Bo ; Cetin, Ediz - p. 1-5 , 2022

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

10

Optimization of Deep Learning-Based BSIM-CMG I-V Parameter ..:

, In: 2022 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT),

Chavez, Fredo ; Kao, Ming-Yen ; Hu, Chenming. - p. 124-126 , 2022

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

11

Deep learning-based I-V global parameter extraction for BSI..:

Chavez, Fredo ; Tung, Chien-Ting ; Kao, Ming-Yen...
Chavez , F , Tung , C-T , Kao , M-Y , Hu , C , Chen , J-H & Khandelwal , S 2023 , ' Deep learning-based I-V global parameter extraction for BSIM-CMG ' , Solid-State Electronics , vol. 209 , 108766 , pp. 1-5 . https://doi.org/10.1016/j.sse.2023.108766. , 2023

Link: https://researchers.mq.e..