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Paper Abstract and Keywords
Presentation 2024-08-06 13:45
Automatic Circuit Topology Selection for Sub-THz Small-Signal Amplifiers using Machine Learning Models
Tsukasa Hasegawa, Kyoya Takano (Tokyo Univ. of Science)
Abstract (in Japanese) (See Japanese page) 
(in English) The objective of this study is to realize automatic design of RF front-end circuits in the sub-THz band. As an initial study, a mechanism for selecting an appropriate circuit topology from given specifications is realized by a machine learning model. By using this method, we show that the circuit with the performance closest to the specification can be appropriately selected from multiple circuit topologies in small-signal amplifiers.
Keyword (in Japanese) (See Japanese page) 
(in English) Sub-THz / Small-Signal Amplifiers / Machine Learning / / / / /  
Reference Info. ITE Tech. Rep.
Paper #  
Date of Issue  
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee IEICE-ICD IEICE-SDM IST  
Conference Date 2024-08-05 - 2024-08-07 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Analog, Mixed Analog and Digital, RF, and Sensor Interface, Low Voltage/Low Power Techniques, Novel Devices/Circuits, and the Applications 
Paper Information
Registration To IEICE-ICD 
Conference Code 2024-08-SDM-ICD-IST 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic Circuit Topology Selection for Sub-THz Small-Signal Amplifiers using Machine Learning Models 
Sub Title (in English)  
Keyword(1) Sub-THz  
Keyword(2) Small-Signal Amplifiers  
Keyword(3) Machine Learning  
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1st Author's Name Tsukasa Hasegawa  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
2nd Author's Name Kyoya Takano  
2nd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
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Speaker Author-1 
Date Time 2024-08-06 13:45:00 
Presentation Time 25 minutes 
Registration for IEICE-ICD 
Paper #  
Volume (vol) vol.48 
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