Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Hirald Dwaraka Praveena"'
Autor:
Aruna Mogarala Guruvaya, Archana Kollu, Parameshachari Bidare Divakarachari, Przemysław Falkowski-Gilski, Hirald Dwaraka Praveena
Publikováno v:
Telecom, Vol 5, Iss 3, Pp 537-555 (2024)
In the present scenario, retail sales forecasting has a great significance in E-commerce companies. The precise retail sales forecasting enhances the business decision making, storage management, and product sales. Inaccurate retail sales forecasting
Externí odkaz:
https://doaj.org/article/3a660ada488c4607bf0d52446b21ec47
Autor:
Helina Rajini Suresh, Vallem Ranadheer Reddy, Sangamithrai K, Hirald Dwaraka Praveena, Gnanaprakasam C, Sakthi Lakshmi Priya C
Publikováno v:
Iraqi Journal for Computer Science and Mathematics, Vol 5, Iss 3 (2024)
Anomaly detection is very important in social networks to keep the truth, security and believability of online communities. This paper presents Adapto Detect which uses a fresh anomaly detection scheme named Pufferfish Optimization Technique (POT) fo
Externí odkaz:
https://doaj.org/article/385004be17b34433a5a9c325c41a9df9
Autor:
Andrzej Stateczny, Hirald Dwaraka Praveena, Ravikiran Hassan Krishnappa, Kanegonda Ravi Chythanya, Beenarani Balakrishnan Babysarojam
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 5037 (2023)
The increasing amount of rain produces a number of issues in Kerala, particularly in urban regions where the drainage system is frequently unable to handle a significant amount of water in such a short duration. Meanwhile, standard flood detection re
Externí odkaz:
https://doaj.org/article/ec77780d58ef4cb0b18fd29fb4c6a6de
Autor:
Hirald Dwaraka Praveena, Katta Sudha, P. Geetha, C. Venkataramanan, V. V. Satyanarayana Tallapragada, M. Venkatanaresh
Publikováno v:
Computational Vision and Bio-Inspired Computing ISBN: 9789811998188
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20c6a266a2b81049d681a18ff3c7da24
https://doi.org/10.1007/978-981-19-9819-5_19
https://doi.org/10.1007/978-981-19-9819-5_19
Publikováno v:
Physical Communication. 56:101956
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 12:6151-6167
Electroencephalogram (EEG) signal based epileptic seizure recognition is an emerging technique that efficiently identifies the non-stationary progresses of brain activities. Usually, the epilepsy is recognized by clinicians on the basis of visual obs
Autor:
Hirald Dwaraka Praveena, Nirmala S. Guptha, Afsaneh Kazemzadeh, B. D. Parameshachari, K. L. Hemalatha
Publikováno v:
Journal of healthcare engineering. 2022
In recent times, a large number of medical images are generated, due to the evolution of digital imaging modalities and computer vision application. Due to variation in the shape and size of the images, the retrieval task becomes more tedious in the
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:173-173
Publikováno v:
Cognitive Informatics and Soft Computing ISBN: 9789811514500
In recent decades, epileptic seizure classification is the most challenging aspect in the field of health monitoring systems. So, a new system was developed in this research study for improving the accuracy of epileptic seizure classification. Here,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b997e6d67d68fc01434608a2db89500b
https://doi.org/10.1007/978-981-15-1451-7_2
https://doi.org/10.1007/978-981-15-1451-7_2
Publikováno v:
i-manager's Journal on Electronics Engineering. 4:18-23