A novel mobile application for circuit component identification and recognition through machine learning and image processing techniques.
Shriram K. VasudevanKarthik VenkatachalamR. M. D. SundaramPublished in: Int. J. Intell. Syst. Technol. Appl. (2017)
Keyphrases
- mobile applications
- machine learning
- pattern recognition
- mobile devices
- recognition rate
- mobile phone
- m learning
- recognition accuracy
- object recognition
- mobile users
- mobile environments
- context aware
- user experience
- learning algorithm
- unsupervised learning
- machine learning algorithms
- action recognition
- information extraction
- mobile technologies
- smart phones
- signature recognition
- human identification
- person identification
- computer vision
- decision trees
- natural language processing
- location based services
- data mining
- analog circuits
- artificial intelligence
- end users
- text mining
- recognition algorithm
- high speed
- learning systems
- machine learning methods
- character recognition
- ambient intelligence
- feature extraction
- feature selection
- gait recognition
- circuit design