matlab manual Archives - Page 9 of 9

A low-input-voltage wireless power transfer for biomedical implants

Posted on January 26, 2016 by Matlab-Projects |

Wireless power transfer is an essential technology to increase implants’ longevity. A pair of inductivelycoupled coils operating at radio-frequency is extensively used to deliver electrical power to implants wirelessly. In…

eClims: an extensible and dynamic integration framework for biomedical information systems

Posted on January 26, 2016 by Matlab-Projects |

Biomedical Information Systems (BIS) require consideration of three types of variability: data variability induced by new high throughput technologies, schema or model variability induced by large scale studies or new…

Development control parking access using techniques Digital Image Processing and Applied Computational Intelligence

Posted on January 26, 2016 by Matlab-Projects |

In the past few years, smart systems for parking lot access control are developed to control and register the car data. These systems might use cameras to identify vehicle and…

NextMe: Localization Using Cellular Traces in Internet of Things

Posted on January 26, 2016 by Matlab-Projects |

The Internet of Things (IoT) opens up tremendous opportunities to location-based industrial applications that leverage both Internet-resident resources and phones’ processing power and sensors to provide location information. Location-based service…

Scene text localization using keypoints

Posted on January 26, 2016 by Matlab-Projects |

Scene text localization and recognition (also known as text localization and recognition in real-world images, nature scene OCR or text-in-the-wild problem) is an open problem, attracting increasing interest from researchers. In this…

Diversified Hidden Markov Models for Sequential Labeling

Posted on January 26, 2016 by Matlab-Projects |

Labeling of sequential data is a prevalent meta-problem for a wide range of real world applications. While the first-order Hidden Markov Models (HMM) provides a fundamental approach for unsupervised sequential…