Zobrazeno 1 - 10
of 41
pro vyhledávání: '"A S Shridevi"'
Autor:
Rajat Mishra, S. Shridevi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Medicine recommendation systems are designed to aid healthcare professionals by analysing a patient’s admission data to recommend safe and effective medications. These systems are categorised into two types: instance-based and longitudinal
Externí odkaz:
https://doaj.org/article/d34488afc8e649879b61e13065ed4d15
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Medical practitioners examine medical images, such as X-rays, write reports based on the findings, and provide conclusive statements. Manual interpretation of the results and report generation by examiners are time-consuming processes that l
Externí odkaz:
https://doaj.org/article/970b98297cc24d31abc4d90a7c18f5f7
Autor:
Thavavel Vaiyapuri, Prasanalakshmi Balaji, S. Shridevi, Santhi Muttipoll Dharmarajlu, Nourah Ali AlAseem
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 16704-16720 (2024)
Bone cancer detection is an essential region of medical analysis but developments in medical imaging and artificial intelligence (AI) are vital. Using approaches, namely deep learning (DL) and machine learning (ML), radiologists and medical staff can
Externí odkaz:
https://doaj.org/article/f3efb7d8f0f044d58c09774b7c1f83df
Autor:
S. Shridevi, Susan Elias
Publikováno v:
IEEE Access, Vol 12, Pp 31399-31408 (2024)
The position and orientation of the human neck need to be measured, analyzed, and monitored during head impacts to provide preventive healthcare measures. The proposed research explores the role of explainable Artificial Intelligence and Machine Lear
Externí odkaz:
https://doaj.org/article/a7c521ef83804064906f1f34c59e53bb
Autor:
Jigyasa Agarwal, S. Shridevi
Publikováno v:
IEEE Access, Vol 11, Pp 98607-98617 (2023)
This research addresses the need for effective disaster evacuation training methods by proposing a virtual reality system that utilizes Reinforcement Learning Procedural Content Generation (RL-PCG) algorithms. The aim of this study is to provide a co
Externí odkaz:
https://doaj.org/article/5f070dafd4d34dfb841a562d3a8becc3
Autor:
Masooma Ali Raza Suleman, S. Shridevi
Publikováno v:
IEEE Access, Vol 10, Pp 82456-82468 (2022)
Weather prediction and meteorological analysis contribute significantly towards sustainable development to reduce the damage from extreme events which could otherwise set-back the progress in development by years. The change in surface temperature is
Externí odkaz:
https://doaj.org/article/0c5bee1749e540098b13b64e32ebc265
Autor:
Vaiyapuri, Thavavel, Sivakumar, M., S., Shridevi, Parvathy, Velmurugan Subbiah, Naga Ramesh, Janjhyam Venkata, Syed, Khasim, Mohanty, Sachi Nandan
Publikováno v:
AIMS Mathematics (2473-6988); 2024, Vol. 9 Issue 5, p11352-11371, 20p
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4172 (2022)
Microarray data examination is a relatively new technology that intends to determine the proper treatment for various diseases and a precise medical diagnosis by analyzing a massive number of genes in various experimental conditions. The conventional
Externí odkaz:
https://doaj.org/article/785806fde3ca4eb69dd89d95c135be19
Publikováno v:
Computational Methods and Data Engineering ISBN: 9789811930140
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15b8d76d2924623441f2dcbfe6e0f1a1
https://doi.org/10.1007/978-981-19-3015-7_27
https://doi.org/10.1007/978-981-19-3015-7_27
Autor:
Karthik Srinivasan, B. Prasanalakshmi, Shermin Shamsudheen, S. Shridevi, Yu-Chen Hu, K. Murugan
Publikováno v:
The Journal of Supercomputing. 78:361-378
Data transmission is a great challenge in any network environment. However, medical data collected from IoT devices need to be transmitted at high speed to ensure that the transmitted data are secure. This paper focuses on the security, speed and loa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::767d6773be43e22054bcd582766e8cf4
https://doi.org/10.1007/s11227-021-03861-x
https://doi.org/10.1007/s11227-021-03861-x