Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Lawrence C. Ng"'
Publikováno v:
Information Processing in Agriculture, Vol 10, Iss 1, Pp 11-27 (2023)
Leaf disease recognition using image processing and deep learning techniques is currently a vibrant research area. Most studies have focused on recognizing diseases from images of whole leaves. This approach limits the resulting models’ ability to
Externí odkaz:
https://doaj.org/article/853994d94f864f2797dc6aa0ffb9c61b
Autor:
Robert M. Sharpe, Nathan J. Champagne, Jeffrey S. Kallman, James B. Kobler, John J. Rosowski, Robert E. Hillman, John F. Holzrichter, Lawrence C. Ng, Gerry J. Burke
Publikováno v:
The Journal of the Acoustical Society of America. 117:1373-1385
Low power, radarlike electromagnetic (EM) wave sensors, operating in a homodyne interferometric mode, are being used to measure tissue motions in the human vocal tract during speech. However, when these and similar sensors are used in front of the la
Autor:
Wayne A. Lea, Ingo R. Titze, Gregory Burnett, Brad H. Story, Lawrence C. Ng, John F. Holzrichter
Publikováno v:
The Journal of the Acoustical Society of America. 107:581-588
Newly developed glottographic sensors, utilizing high-frequency propagating electromagnetic waves, were compared to a well-established electroglottographic device. The comparison was made on four male subjects under different phonation conditions, in
Publikováno v:
The Journal of the Acoustical Society of America. 103:622-625
Very low power electromagnetic (EM) wave sensors are being used to measure speech articulator motions as speech is produced. Glottal tissue oscillations, jaw, tongue, soft palate, and other organs have been measured. Previously, microwave imaging (e.
Autor:
Lawrence C. Ng, Darryll J. Pines
Publikováno v:
Journal of Guidance, Control, and Dynamics. 20:211-214
Publikováno v:
Information Processing in Agriculture, Vol 8, Iss 1, Pp 27-51 (2021)
Fast and accurate plant disease detection is critical to increasing agricultural productivity in a sustainable way. Traditionally, human experts have been relied upon to diagnose anomalies in plants caused by diseases, pests, nutritional deficiencies
Externí odkaz:
https://doaj.org/article/9f3a688ee0974be0aef3e815edbec7ea
Publikováno v:
ICASSP
Low power EM radar-like sensors have made it possible to measure properties of the human speech production system in real-time, without acoustic interference. This greatly enhances the quality and quantify of information for many speech related appli
Publikováno v:
5th International Conference on Spoken Language Processing (ICSLP 1998).
Publikováno v:
The Journal of the Acoustical Society of America. 134:4237-4237
Voice activity sensors commonly measure voiced-speech-induced skin vibrations using contact microphones or related techniques. We show that micro-power EM wave sensors have advantages over acoustic techniques by directly measuring vocal-fold motions,