The recent emergence of machine learning and deep learning methods for medical image analysis has enabled the development automated computer aided systems that can assist ophthalmologists in making better decisions about ...

An automated system is proposed to recognize the distressed situation form the daily living activity of human sounds. The data used in this study is captured in special purpose smart home to depict the daily life of elderly ...

In the recent years, deep learning has gained huge fame in solving problems from various fields including medical image analysis. This thesis proposes a deep convolutional neural network based pipeline for the diagnosis ...

In Biometrics fingerprint matching is still an open research area achievements of high accuracy with light weight algorithms is the main problem of AFIS (Automated Fingerprint Identification System). Two techniques are ...

In 3D localization of object in space, three essential parameters are required for exact position estimation in spherical co-ordinates. These parameter are: the distance of the physical object from radar and the azimuthal ...