注意力集中 发表于 2025-3-25 06:58:36
http://reply.papertrans.cn/48/4701/470022/470022_21.pngarthroscopy 发表于 2025-3-25 09:58:16
H. A. Ananya,I. Akhilesh Hegde,Akshay G. Joshi,Viraj KumarNoisome 发表于 2025-3-25 15:41:34
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 发表于 2025-3-25 16:36:02
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 发表于 2025-3-25 21:06:16
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 发表于 2025-3-26 02:31:58
http://reply.papertrans.cn/48/4701/470022/470022_26.pnggonioscopy 发表于 2025-3-26 06:38:02
http://reply.papertrans.cn/48/4701/470022/470022_27.pngPLUMP 发表于 2025-3-26 08:37:19
http://reply.papertrans.cn/48/4701/470022/470022_28.pngdefile 发表于 2025-3-26 15:08:49
http://reply.papertrans.cn/48/4701/470022/470022_29.pngAccommodation 发表于 2025-3-26 18:04:14
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.