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Kofi A Nyarko, Age 488209 Powers Ln, Millersville, MD 21108

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Known as:
Kofi Adofo Nyorko U Kofi Nyarko Kofi O
Related to:
Nyarko Yaw

Kofi Nyarko Phones & Addresses

Millersville, MD

1 Quiet Cove Ct, Essex, MD 21221 (410) 391-3376 (410) 485-9475

4417 Moravia Rd, Baltimore, MD 21206 (410) 485-9475

2353 Glenmont Cir, Silver Spring, MD 20902

Chambersburg, PA

Fairfield, IA

1 Quiet Cove Ct, Essex, MD 21221

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Work

Position: Craftsman/Blue Collar

Education

Degree: High school graduate or higher

Mentions for Kofi A Nyarko

Kofi Nyarko resumes & CV records

Resumes

Kofi Nyarko Photo 26

Kofi Nyarko

Education:
Linköping University 2010 - 2012
Master of Science, Masters, Energy, Mechanical Engineering
Skills:
Research, Management, Renewable Energy, Leadership
Kofi Nyarko Photo 27

Technical Director And Research Engineer

Location:
8209 Powers Ln, Millersville, MD
Industry:
Computer Software
Work:
Morgan State University
Associate Professor Independent
Independent Software Engineer Morgan State University
Technical Director and Research Engineer
Education:
Morgan State University Jan 2001 - Dec 2004
Skills:
C++, Matlab, Programming, Perl, Research, Microsoft Office, Data Analysis, C, Integration, Visual Basic, Simulations, Javascript, Testing, Systems Engineering, Engineering, Visual Studio, Java, Teaching, Verilog, Labview, Linux, Vhdl, Eclipse
Kofi Nyarko Photo 28

Kofi Nyarko

Kofi Nyarko Photo 29

Kofi Nyarko

Publications & IP owners

Us Patents

Method And Apparatus For Augmented Data Anomaly Detection

US Patent:
2021028, Sep 16, 2021
Filed:
Mar 12, 2021
Appl. No.:
17/200606
Inventors:
- Baltimore MD, US
Kofi Nyarko - Millersville MD, US
International Classification:
G06N 3/04
G06N 3/08
G06K 9/62
Abstract:
A data anomaly detection method and apparatus in which a deep neural network is trained on baseline data. Sequences of statistics of each layer of the deep neural network are saved, processed and used to train an LSTM autoencoder across a variety of reconstruction error thresholds, and a preferred threshold is selected for an optimized autoencoder. In an Inference mode, a data sample is presented to the autoencoder; the reconstruction error is calculated and compared to the threshold. If it is above the threshold, then the data sample is an out-of-distribution sample, and the sample is tagged as anomalous.

Pulmonary Vest For Electro-Sonic Stimulation Treatment

US Patent:
2020018, Jun 18, 2020
Filed:
Dec 12, 2019
Appl. No.:
16/712143
Inventors:
- Baltimore MD, US
Kofi Nyarko - Essex MD, US
Gregory Ramsey - Towson MD, US
Cassandra Dickerson - Landover MD, US
International Classification:
A61H 23/02
Abstract:
A device and method for loosening mucous secretions from a subjects lungs including a vest-like garment having enclosures thereon, the enclosures containing one or more sonic transducers, the output face of which is arranged to face the subject's body, the sonic transducers configured to repeatedly emit sonic bursts having a duration of about 10 to about 50 milliseconds at one or more frequencies ranging from 100 Hz-400 Hz, at a rate of about one to about four bursts per second.

Possible Relatives

Kofi O Williams  Kofi N Poku  Kofi Yeboah  Kofi A Boateng  Kofi Adusei  Kofi A Aidoo  Kofi Frimpong  Kofi Agyen  Kofi Opoku-Agyemang 

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