Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Jyotir, Moy Chatterjee"'
Autor:
M. L. S. N. S. Lakshmi, S. Prasad Jones Christydass, S. Kannadhasan, K. Anguraj, Jyotir Moy Chatterjee
Publikováno v:
International Journal of Antennas and Propagation, Vol 2023 (2023)
An efficient triband metamaterial absorber is presented for X- and K-band applications. The unit cell is of simple shape. The absorber is fabricated on a thin polyamide, which makes it flexible. The parameters of the designed absorber are optimized.
Externí odkaz:
https://doaj.org/article/61c657715c8241bd913a9ad8bf6b559b
Autor:
Ishaani Priyadarshini, Jyotir Moy Chatterjee, R. Sujatha, Nz Jhanjhi, Ali Karime, Mehedi Masud
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
The sudden outbreak of the novel coronavirus (nCoV-19, COVID-19) and its rampant spread led to a significant number of people being infected worldwide and disrupted several businesses. With most of the countries imposing serious lockdowns due to the
Externí odkaz:
https://doaj.org/article/d44368c783e24c57920dc13c1c484d0c
Publikováno v:
IEEE Access, Vol 9, Pp 37989-38000 (2021)
Bitcoin is a decentralized digital currency without a central bank or single administrator sent from user to user on the peer-to-peer bitcoin blockchain network without intermediaries' need. In this Bitcoin trend analysis work, initial attributes are
Externí odkaz:
https://doaj.org/article/4dfbb9fee6634b3fb6678a9b98b341fa
Publikováno v:
Complexity, Vol 2022 (2022)
The stability of the power grid is concernment due to the high demand and supply to smart cities, homes, factories, and so on. Different machine learning (ML) and deep learning (DL) models can be used to tackle the problem of stability prediction for
Externí odkaz:
https://doaj.org/article/9bd2a64dbd92419f925ec8ebcfd94566
Publikováno v:
Future Internet, Vol 14, Iss 10, p 301 (2022)
With the growth of the Internet of Things (IoT), security attacks are also rising gradually. Numerous centralized mechanisms have been introduced in the recent past for the detection of attacks in IoT, in which an attack recognition scheme is employe
Externí odkaz:
https://doaj.org/article/9ac8e027fc4d47c6a852c9f079303253
Publikováno v:
Frontiers in Public Health, Vol 8 (2020)
The primary aim of this study is to investigate suitable Statistical Neural Network (SNN) models and their hybrid version for COVID-19 mortality prediction in Indian populations and is to estimate the future COVID-19 death cases for India. SNN models
Externí odkaz:
https://doaj.org/article/25fae54da9254f4ea316ae25e2ae3943
Autor:
Celestine Iwendi, Ali Kashif Bashir, Atharva Peshkar, R. Sujatha, Jyotir Moy Chatterjee, Swetha Pasupuleti, Rishita Mishra, Sofia Pillai, Ohyun Jo
Publikováno v:
Frontiers in Public Health, Vol 8 (2020)
Integration of artificial intelligence (AI) techniques in wireless infrastructure, real-time collection, and processing of end-user devices is now in high demand. It is now superlative to use AI to detect and predict pandemics of a colossal nature. T
Externí odkaz:
https://doaj.org/article/fd87bd4264914903a80d2225c8a3cfcb
Autor:
Jyotir Moy Chatterjee, Raghvendra Kumar, Prasant Kumar Pattnaik, Vijender Kumar Solanki, Noor Zaman
Publikováno v:
Tourism & Management Studies, Vol 14, Iss 2, Pp 72-79 (2018)
Healthcare data frameworks have enormously expanded accessibility of medicinal reports and profited human services administration and research work. In many cases, there are developing worries about protection in sharing restorative files. Protect
Externí odkaz:
https://doaj.org/article/ec1cab6c3a8444d2a69881ec0e824bde
Autor:
Radhakrishnan Sujatha, Jyotir Moy Chatterjee, Anastassia Angelopoulou, Epaminondas Kapetanios, Parvathaneni Naga Srinivasu, Duraisamy Jude Hemanth
Publikováno v:
IET Image Processing. 17:1979-1990
Big Data Privacy Preservation Using Principal Component Analysis and Random Projection in Healthcare
Publikováno v:
Mathematical Problems in Engineering. 2022:1-12
With the rising usage of technology, a tremendous volume of data is being produced in the current scenario. This data contains a lot of personal data and may be given to third parties throughout the data mining process. Individual privacy is extremel