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

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樓主: deteriorate
21#
發(fā)表于 2025-3-25 06:58:36 | 只看該作者
22#
發(fā)表于 2025-3-25 09:58:16 | 只看該作者
H. A. Ananya,I. Akhilesh Hegde,Akshay G. Joshi,Viraj Kumar
23#
發(fā)表于 2025-3-25 15:41:34 | 只看該作者
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.
24#
發(fā)表于 2025-3-25 16:36:02 | 只看該作者
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.
25#
發(fā)表于 2025-3-25 21:06:16 | 只看該作者
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.
26#
發(fā)表于 2025-3-26 02:31:58 | 只看該作者
27#
發(fā)表于 2025-3-26 06:38:02 | 只看該作者
28#
發(fā)表于 2025-3-26 08:37:19 | 只看該作者
29#
發(fā)表于 2025-3-26 15:08:49 | 只看該作者
30#
發(fā)表于 2025-3-26 18:04:14 | 只看該作者
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.
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