Anqi SHEN

Person

Arlington, VA, US

People

Patents Grantslast 30 patents

Information Patent Grant
Non-intrusive load monitoring using machine learning and processed...
- Patent number 11,989,668
- Issue date May 21, 2024
- Oracle International Corporation
- Selim Mimaroglu
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Trained models for discovering target device presence
- Patent number 11,893,487
- Issue date Feb 6, 2024
- Oracle International Corporation
- Selim Mimaroglu
- B60 - VEHICLES IN GENERAL
Information Patent Grant
Non-intrusive load monitoring using machine learning and processed...
- Patent number 11,636,356
- Issue date Apr 25, 2023
- Oracle International Corporation
- Selim Mimaroglu
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Non-intrusive load monitoring using machine learning
- Patent number 11,593,645
- Issue date Feb 28, 2023
- Oracle International Corporation
- Selim Mimaroglu
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Non-intrusive load monitoring using ensemble machine learning techn...
- Patent number 11,544,632
- Issue date Jan 3, 2023
- Oracle International Corporation
- Selim Mimaroglu
- G06 - COMPUTING CALCULATING COUNTING

Patents Applicationslast 30 patents

Information Patent Application
OPERATING DATA ANOMALY DETECTION AND REMEDIATION
- Publication number 20240160941
- Publication date May 16, 2024
- ORACLE INTERNATIONAL CORPORATION
- Selim Necdet Mimaroglu
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
Trained Models for Discovering Target Device Presence
- Publication number 20240144004
- Publication date May 2, 2024
- ORACLE INTERNATIONAL CORPORATION
- Selim MIMAROGLU
- B60 - VEHICLES IN GENERAL
Information Patent Application
Machine Learning Models Trained to Generate Household Predictions U...
- Publication number 20230419106
- Publication date Dec 28, 2023
- ORACLE INTERNATIONAL CORPORATION
- Selim MIMAROGLU
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
Non-Intrusive Load Monitoring Using Machine Learning and Processed...
- Publication number 20230244963
- Publication date Aug 3, 2023
- ORACLE INTERNATIONAL CORPORATION
- Selim MIMAROGLU
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
Trained Models for Discovering Target Device Presence
- Publication number 20220414446
- Publication date Dec 29, 2022
- ORACLE INTERNATIONAL CORPORATION
- Selim MIMAROGLU
- B60 - VEHICLES IN GENERAL
Information Patent Application
Non-Intrusive Load Monitoring Using Machine Learning and Processed...
- Publication number 20210158186
- Publication date May 27, 2021
- ORACLE INTERNATIONAL CORPORATION
- Selim MIMAROGLU
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
Non-Intrusive Load Monitoring Using Ensemble Machine Learning Techn...
- Publication number 20210158225
- Publication date May 27, 2021
- ORACLE INTERNATIONAL CORPORATION
- Selim MIMAROGLU
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
Non-Intrusive Load Monitoring Using Machine Learning
- Publication number 20210158150
- Publication date May 27, 2021
- ORACLE INTERNATIONAL CORPORATION
- Selim MIMAROGLU
- G06 - COMPUTING CALCULATING COUNTING

Person

Patents Grantslast 30 patents

Non-intrusive load monitoring using machine learning and processed...

Trained models for discovering target device presence

Non-intrusive load monitoring using machine learning and processed...

Non-intrusive load monitoring using machine learning

Non-intrusive load monitoring using ensemble machine learning techn...

Patents Applicationslast 30 patents

OPERATING DATA ANOMALY DETECTION AND REMEDIATION

Trained Models for Discovering Target Device Presence

Machine Learning Models Trained to Generate Household Predictions U...

Non-Intrusive Load Monitoring Using Machine Learning and Processed...

Trained Models for Discovering Target Device Presence

Non-Intrusive Load Monitoring Using Machine Learning and Processed...

Non-Intrusive Load Monitoring Using Ensemble Machine Learning Techn...

Non-Intrusive Load Monitoring Using Machine Learning