Titlebook: Intelligent Systems Technologies and Applications; Volume 1 Stefano Berretti,Sabu M. Thampi,Praveen Ranjan Sri Conference proceedings 2016

注意力集中

arthroscopy

H. A. Ananya,I. Akhilesh Hegde,Akshay G. Joshi,Viraj Kumar

Noisome

Implementation of Mixed Signal Architecture for Compressed Sensing on ECG Signalsolving an undetermined system of linear equations. In this paper a scalable hardware for CS in ECG signal is modeled. The factors determining the quality of reconstruction of a Compressively Sampled ECG signal is studied in both time and wavelet domain using the modeled hardware.

myocardium

Intelligent System Based on Impedance Cardiography for Non-invasive Measurement and Diagnosisiography. The vital parameters are calculated with the bioimpedance signals obtained non-invasively along the thorax. For the diagnosis the signals are recorded across the radial artery. The multivariate analysis has been used to obtain a diagnosis index based on various time as well as frequency domain parameters.

Delectable

Authorship Attribution Using Stylometry and Machine Learning Techniquesing 520 documents as our corpus. Our results show that authorship attribution using stylometry method has generated an accuracy of above 90 %, except for 7-NN with 1000 words. We also showed how authorship attribution can be used to identify potential cases of plagiarism in formal writings.

CLASH

gonioscopy

PLUMP

defile

Accommodation

Online Character Recognition in Multi-lingual Frameworknce measurement obtained from the PSFAM (Probabilistic Simplified Fuzzy ARTMAP) classifier is used for recognizing character. We had tested with Hindi, Malayalam, Tamil and Urdu. Accuracy varies from 85-95% for different languages depending on the number of training samples used.