Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Mahesh TR"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Wearable sensors have revolutionized cardiac health monitoring, with Seismocardiography (SCG) at the forefront due to its non-invasive nature. However, the substantial motion artefacts have hindered the translation of SCG-based me
Externí odkaz:
https://doaj.org/article/66fda778b58d466d9c2eec0278617101
Autor:
Mahesh TR, null V Vinoth Kumar
Publikováno v:
International Journal of Data Informatics and Intelligent Computing. 1:16-22
A recommendation system employs a variety of algorithms to provide users with recommendations of any kind. The most well-known technique, collaborative filtering, involves users with similar preferences although it is not always as effective when dea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c833a5ceeabf8d5b1a7e78a6017168b2
https://doi.org/10.59461/ijdiic.v1i2.17
https://doi.org/10.59461/ijdiic.v1i2.17
Publikováno v:
International Journal of Data Informatics and Intelligent Computing. 1:1-7
Machine Learning (ML) based forecast systems have demonstrated their significance results in detecting several diseases. ML models have for some time been utilized in numerous application regions requiring the ID and prioritization of troublesome var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8433be8ed27cc645186b6e392f44970
https://doi.org/10.59461/ijdiic.v1i2.13
https://doi.org/10.59461/ijdiic.v1i2.13
Publikováno v:
2023 International Conference on Artificial Intelligence and Smart Communication (AISC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b58123dd26818fa9c2e4432fdfdf2cf4
https://doi.org/10.1109/aisc56616.2023.10085356
https://doi.org/10.1109/aisc56616.2023.10085356
Autor:
Mahesh TR, Shalini Ninoria
Publikováno v:
2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4cc3f7ffdf4988db8f94dfad7a0ce45
https://doi.org/10.1109/icerect56837.2022.10060373
https://doi.org/10.1109/icerect56837.2022.10060373
Autor:
Mahesh Tr, Devi Kanniga
Publikováno v:
2022 5th International Conference on Contemporary Computing and Informatics (IC3I).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ca99307c167b76a6072a5b594ab3c11
https://doi.org/10.1109/ic3i56241.2022.10072572
https://doi.org/10.1109/ic3i56241.2022.10072572
Autor:
Mahesh TR, Deepak Kumar Sinha
Publikováno v:
2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::138addc1c3bb9a3dd3528d46082697ae
https://doi.org/10.1109/iihc55949.2022.10060688
https://doi.org/10.1109/iihc55949.2022.10060688
Autor:
Gadug Sudhamsu, Mahesh TR
Publikováno v:
2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::842970f173c185e8bf54c5710d164829
https://doi.org/10.1109/iihc55949.2022.10060456
https://doi.org/10.1109/iihc55949.2022.10060456
Autor:
MAHESH TR
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789811657467
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::789a1141fe5c2cd35e5602a5edb32388
https://doi.org/10.1007/978-981-16-5747-4
https://doi.org/10.1007/978-981-16-5747-4
Publikováno v:
SSRN Electronic Journal.
A Recommender System (RS) is a computer program that helps a user to discover products or contents by predicting the user’s ratings of each item and showing them the items they would rate highly. Recommendation Systems are everywhere. RS plays an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e867e1b86aeca18234d2d2e59988c627
https://doi.org/10.2139/ssrn.3826124
https://doi.org/10.2139/ssrn.3826124