Zobrazeno 1 - 10
of 20
pro vyhledávání: '"S. David Peter"'
Publikováno v:
Information, Vol 12, Iss 1, p 41 (2021)
Automatic extractive text summarization retrieves a subset of data that represents most notable sentences in the entire document. In the era of digital explosion, which is mostly unstructured textual data, there is a demand for users to understand th
Externí odkaz:
https://doaj.org/article/7c4f0a6ace5147c5b31df36b86fa07b0
Publikováno v:
Biocybernetics and Biomedical Engineering. 39:728-741
Breast carcinoma is the most prevalent type of malignancy among women worldwide. Breast cancer grading often termed as Nuclear Atypia Scoring (NAS) forms a significant factor in determining individualized treatment plans and in the prognosis of the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9351a5a60ff4564297bdb0cdd9b7b17
https://doi.org/10.1016/j.bbe.2019.06.005
https://doi.org/10.1016/j.bbe.2019.06.005
Publikováno v:
IEEE Transactions on Image Processing. 28:1248-1260
Breast cancer is found to be the most pervasive type of cancer among women. Computer aided detection and diagnosis of cancer at the initial stages can increase the chances of recovery and thus reduce the mortality rate through timely prognosis and ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c876f814ce8feb2765964ab3f869b9fc
https://doi.org/10.1109/tip.2018.2877337
https://doi.org/10.1109/tip.2018.2877337
Publikováno v:
2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS).
There are different text summarization process available in Natural Language Processing. Among them abstractive text summarization is one of the challenging problems in natural language processing. Abstractive text summarization contains a short and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dea74ba3de1cca7fdd32fe723d336743
https://doi.org/10.1109/icaccs51430.2021.9442060
https://doi.org/10.1109/icaccs51430.2021.9442060
Publikováno v:
J Digit Imaging
Breast cancer is the most common type of malignancy diagnosed in women. Through early detection and diagnosis, there is a great chance of recovery and thereby reduce the mortality rate. Many preliminary tests like non-invasive radiological diagnosis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::168e37a7ed74ddd58f19c039945f6a8c
https://europepmc.org/articles/PMC7573034/
https://europepmc.org/articles/PMC7573034/
Publikováno v:
Information
Volume 12
Issue 1
Information, Vol 12, Iss 41, p 41 (2021)
Volume 12
Issue 1
Information, Vol 12, Iss 41, p 41 (2021)
Automatic extractive text summarization retrieves a subset of data that represents most notable sentences in the entire document. In the era of digital explosion, which is mostly unstructured textual data, there is a demand for users to understand th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abb6f059c83b01e771ec9594e800d747
https://doi.org/10.3390/info12010041
https://doi.org/10.3390/info12010041
Publikováno v:
IERI Procedia. 4:337-343
Speech signals are non-stationary and nonlinear in nature. They are affected by background noise and this affects the performance of a speech recognition system. This paper deals with smoothing a signal there by removing noise from speech signals for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccbbe16d0ec74cc60f85528939fcec31
Autor:
S. David Peter, Latha R Nair
Publikováno v:
International Journal of Computer Applications. 39:24-31
Machine processing of Natural (Human) Languages has a long tradition, benefiting from decades of manual and semiautomatic analysis by linguists, sociologists, psychologists and computer scientists among others. This cumulative effort has seen fruit i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b809540d9c13a3b9c7c8df7246cc3bff
https://doi.org/10.5120/4785-7014
https://doi.org/10.5120/4785-7014
Publikováno v:
CUBE
Speech recognition is a fascinating application of digital signal processing offering unparalleled opportunities. In this paper, a comparative study of different feature extraction techniques like Linear Predictive Coding (LPC), Discrete Wavelet Tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cb7d2a1420251552cc1801e543321b7
https://doi.org/10.1145/2381716.2381777
https://doi.org/10.1145/2381716.2381777
Publikováno v:
2012 International Conference on Advances in Computing and Communications.
Speech signals are one of the most important means of communication among the human beings. In this paper, a comparative study of two feature extraction techniques are carried out for recognizing speaker independent spoken isolated words. First one i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96b2ba04e8e0cf3132fe385320800bfe
https://doi.org/10.1109/icacc.2012.7
https://doi.org/10.1109/icacc.2012.7