Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Divya Anand"'
Publikováno v:
Journal of Pure and Applied Microbiology, Vol 16, Iss 3, Pp 2010-2019 (2022)
Today world is trying to cope with the biggest pandemic caused by Coronavirus disease 2019 (COVID-19). The disease is graded as mild, moderate, serious and critical illness. Very few studies are done with methemoglobin along with other parameters for
Externí odkaz:
https://doaj.org/article/a16ebb4faa374786a0bca27bf27b2411
Autor:
Devendra Joshi, Premkumar Chithaluru, Divya Anand, Fahima Hajjej, Kapil Aggarwal, Vanessa Yelamos Torres, Ernesto Bautista Thompson
Publikováno v:
Mathematics, Vol 11, Iss 24, p 4884 (2023)
The journal and authors retract the article entitled “An Evolutionary Technique for Building Neural Network Models for Predicting Metal Prices” [...]
Externí odkaz:
https://doaj.org/article/65a272ad4cf54f628a868c154077f7f9
Autor:
Hukam Chand Kumawat, Mahendra Bhadu, Arvind Kumar, Om Prakash Mahela, Baseem Khan, Divya Anand, Jose Breñosa
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2023 (2023)
The load frequency control (LFC) is a most important tool for the frequency regulation mechanism in the widely spread modern power system. The LFC system consists of a communication structure to transmit the measurement and control signal. Usually th
Externí odkaz:
https://doaj.org/article/a4e00dad376c4e42a43d2f97fae00806
Autor:
Pramod Kumar, Nagendra Kumar Swarnkar, Om Prakash Mahela, Baseem Khan, Divya Anand, Aman Singh, Juan Luis Vidal Mazon, Fahd S. Alharithi
Publikováno v:
International Transactions on Electrical Energy Systems, Vol 2023 (2023)
This paper presents grid-oriented multiobjective harmony search algorithm (GOMOHSA) to incorporate the multiple grid parameters for minimization of the active power loss, reactive power loss, and total voltage deviations (TVD) in a part of practical
Externí odkaz:
https://doaj.org/article/3935ac507801425e89f887d0f0d9abec
Autor:
Subhita Menon, Divya Anand, Kavita, Sahil Verma, Manider Kaur, N. Z. Jhanjhi, Rania M. Ghoniem, Sayan Kumar Ray
Publikováno v:
Sensors, Vol 23, Iss 13, p 6132 (2023)
With the increasing growth rate of smart home devices and their interconnectivity via the Internet of Things (IoT), security threats to the communication network have become a concern. This paper proposes a learning engine for a smart home communicat
Externí odkaz:
https://doaj.org/article/c662e3c6471c434e94d9be8342cc4043
Autor:
Arvind Yadav, Premkumar Chithaluru, Aman Singh, Devendra Joshi, Dalia H. Elkamchouchi, Cristina Mazas Pérez-Oleaga, Divya Anand
Publikováno v:
Water, Vol 15, Iss 8, p 1478 (2023)
The authors would like to make the following corrections about the published paper [...]
Externí odkaz:
https://doaj.org/article/17f89485022d4e298624c2e379e36b3d
Autor:
Devendra Joshi, Premkumar Chithaluru, Divya Anand, Fahima Hajjej, Kapil Aggarwal, Vanessa Yelamos Torres, Ernesto Bautista Thompson
Publikováno v:
Mathematics, Vol 11, Iss 7, p 1675 (2023)
In this research, a neural network (NN) model for metal price forecasting based on an evolutionary approach is proposed. Both the neural network model’s network parameters and network architecture are selected automatically. The time series metal p
Externí odkaz:
https://doaj.org/article/958d70a6dc6049b09215f7d5d8714fd4
Publikováno v:
IEEE Access, Vol 9, Pp 131286-131305 (2021)
Education 4.0 contemplates the involvement of emerging technologies like IoT (Internet of Things), Fog and cloud computing. Ubiquitous real-time monitoring in the challenging environment of an educational institution is the key requirement for proper
Externí odkaz:
https://doaj.org/article/c19f3ecd362e492fa4bf6352fa52e196
Publikováno v:
IEEE Access, Vol 8, Pp 122959-122974 (2020)
Underwater wireless sensor networks (UWSNs) is emerging as an advance terminology for monitoring and controlling the underwater aquatic life. This technology determines the undiscovered resources present in the water through computational intelligenc
Externí odkaz:
https://doaj.org/article/33456a8e754949feb88ec27c5b4be6af
Autor:
Vivek Singhal, S. S. Jain, Divya Anand, Aman Singh, Sahil Verma, Kavita, Joel J. P. C. Rodrigues, Noor Zaman Jhanjhi, Uttam Ghosh, Ohyun Jo, Celestine Iwendi
Publikováno v:
IEEE Access, Vol 8, Pp 113790-113806 (2020)
The study focuses on the artificial intelligence empowered road vehicle- train collision risk prediction assessment, which may lead to the development of a road vehicle-train collision avoidance system for unmanned railway level crossings. The study
Externí odkaz:
https://doaj.org/article/4a05bdc2f33e4dd6bede458b2b2f8bfc