Zobrazeno 1 - 10
of 20
pro vyhledávání: '"M. S. Prasad Babu"'
Autor:
M. S. Prasad Babu, E. Neelima
CVD (Cardiovascular Diseases) is among the major health ailment issue leading to millions of deaths every year. CVDs are resulting as an outcome of implications in terms of environmental and the genetic factors that result in the CVD for individuals.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c5dca49af1d4238c257ead3780342b8
https://zenodo.org/record/4070306
https://zenodo.org/record/4070306
Autor:
M. S. Prasad Babu, K. Swapna
Publikováno v:
Learning and Analytics in Intelligent Systems ISBN: 9783030243210
The present diagnosis methods in medical fields are aided very much by the cluster analysis methods. Data Summarization techniques are used to discover the hidden patterns in huge datasets. They may be used for future interpretation in diverse aspect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1741c3e669429a3a72889eb98000222
https://doi.org/10.1007/978-3-030-24322-7_49
https://doi.org/10.1007/978-3-030-24322-7_49
Autor:
Somesh Katta, M. S. Prasad Babu
Publikováno v:
2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS).
Convolutional Neural Network (CNN) is a Multi-Layer Perceptron Neural Network (MLP), specially designed for classification and identification of image data. MLPs are very useful but very slow for learning image features. Even for small images MLPs ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::081d20f4489ae124cc025cf4b00ee4c2
https://doi.org/10.1109/icsess.2017.8343058
https://doi.org/10.1109/icsess.2017.8343058
Publikováno v:
International Journal of Business Intelligence and Data Mining. 14:359
There is an exponential growth in the available electronic information in the last two decades. It causes a huge necessity to quickly understand high volume text data. This paper describes an efficient algorithm and it works by assigning scores to se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdaa511110e37b90f300833afdc4c399
https://doi.org/10.1504/ijbidm.2019.098841
https://doi.org/10.1504/ijbidm.2019.098841
Autor:
M. S. Prasad Babu, K. Seshadri Sastry
Publikováno v:
International Journal of Computer Network and Information Security. 5:58-65
This paper presents Adaptive Population Sizing Genetic Algorithm (AGA) assisted Maximum Likelihood (ML) estimation of Orthogonal Frequency Division Multiplexing (OFDM) symbols in the presence of Nonlinear Distortions. The proposed algorithm is simula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::489c9d85921d95a3735b9c3d654739a6
https://doi.org/10.5815/ijcnis.2013.07.07
https://doi.org/10.5815/ijcnis.2013.07.07
Publikováno v:
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS).
In this paper, we depict hybrid approach, i.e., combination of rule based approach and machine learning techniques, i.e Conditional Random Fields (CRF) for Named Entity Recognition (NER). The main objective of Named Entity Recognition is to categoriz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f9b1f7e6e34f84552ebe6c368cdafb7
https://doi.org/10.1109/icsess.2016.7883220
https://doi.org/10.1109/icsess.2016.7883220
Development of a biometric authentication system based on HAAR transformation and Score Level Fusion
Autor:
Balaka Ramesh Naidu, M. S. Prasad Babu
Publikováno v:
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS).
In traditional authentication system Password, Pin-number and Signature are used as sources for identification. The latest technological advancements forced human beings towards the development of complex authentication systems based on biometric tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfa08b030dbd83ce9d08f0b786f24d08
https://doi.org/10.1109/icsess.2016.7883255
https://doi.org/10.1109/icsess.2016.7883255
Publikováno v:
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS).
Cluster Analysis methods are very important, popular data summarization techniques applied in diverse environments. These techniques retrieve the hidden patterns in large datasets in the form of characterized patterns which can be interpreted further
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a22f7a2062e52acbd706ca5f85e5de3
https://doi.org/10.1109/icsess.2016.7883256
https://doi.org/10.1109/icsess.2016.7883256
Publikováno v:
International Journal of Computer Applications Technology and Research. 1:89-93
Machine learning Recent works on ensemble (1) methods like Adaptive Boosting have been applied successfully in many problems. Ada-Boost algorithm running on a given weak learner several times on slightly altered data and combining the hypotheses in o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3321c6969aa4ac9dafaa0fd1dfb16e77
https://doi.org/10.7753/ijcatr0103.1006
https://doi.org/10.7753/ijcatr0103.1006
Autor:
K. Seshadri Sastry, M. S. Prasad Babu
Publikováno v:
Wireless Personal Communications. 70:165-175
This paper deals with the problem of non data aided (NDA) signal to noise ratio (SNR) estimation of OFDM signals transmitted through unknown multipath fading channel. Most of present day's SNR estimators are based on the knowledge of pilot sequences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21e75db57efff2fedb1ed20586cb3fe7
https://doi.org/10.1007/s11277-012-0686-3
https://doi.org/10.1007/s11277-012-0686-3