[HTML][HTML] Marine equipment siting using machine-learning-based ocean remote sensing data: current status and future prospects

D Zhang, Y Ma, H Zhang, Y Zhang - Sustainability, 2024 - mdpi.com
As the global climate changes, there is an increasing focus on the oceans and their
protection and exploitation. However, the exploration of the oceans necessitates the …

Advent of Big Data technology in environment and water management sector

J Gohil, J Patel, J Chopra, K Chhaya, J Taravia… - … Science and Pollution …, 2021 - Springer
Big Data is on the verge of explosion in terms of popularity in recent decades, and such a
trend is not going to stop anytime soon as it has a lot of room to grow. The increased …

Enhanced ANN training model to smooth and time series forecast

MA Shaik, D Verma - IOP Conference Series: Materials Science …, 2020 - iopscience.iop.org
In the present era most of the researchers has done extensive research in forecasting the
time series data using distinct" linear, nonlinear and hybrid linear models" that combines …

Deep learning time series to forecast COVID-19 active cases in INDIA: a comparative study

MA Shaik, D Verma - IOP Conference Series: Materials Science …, 2020 - iopscience.iop.org
In the present situation of" COVID-19 pandemic" which devastated worldwide
socioeconomic implications that led by Indian government to initiate and to perform intense …

Elliptic curve cryptography in cloud security: a survey

M Anas, R Imam, F Anwer - 2022 12th International Conference …, 2022 - ieeexplore.ieee.org
Nowadays, people are using more cloud services than ever before as it provides more
storage, collaborative environment, and more security than any other platform. Public Key …

To detect plant disease identification on leaf using machine learning algorithms

P Praveen, M Nischitha, C Supriya, M Yogitha… - … Design: Proceedings of …, 2022 - Springer
India's economy is based on agriculture. Farmers raise a range of crops to meet their needs.
Weather, soil conditions, disease, and other factors all have an impact on crop production …

Big Data clustering: applying conventional data mining techniques in big data environment

P Praveen, C Jayanth Babu - … and Engineering: Proceedings of the Sixth …, 2019 - Springer
In the current data world, the term big data became popular term to define these massive
data, increasing enormously. Efficient knowledge extraction techniques take major role in …

Novel classification scheme for multi agents

MA Shaik, P Praveen, RV Prakash - Asian Journal of Computer Science …, 2019 - ajcst.co
Multi agent is that the broader space that is develo** at a fast pace towards analysis and
development of distinct vary of topics. These areas agitate numerous methodologies …

Geospatial big data platforms: A comprehensive review

Y Loukili, Y Lakhrissi, SEB Ali - KN-Journal of Cartography and …, 2022 - Springer
Over the past decade, big data incorporating a spatial component “GEOSPATIAL BIG DATA”
has become a global focus, increasingly attracting the attention of academia, industry …

Competent multi-level encryption methods for implementing cloud security

SK Tallapally, B Manjula - IOP Conference Series: Materials …, 2020 - iopscience.iop.org
Cloud space to yourself is a one of the most considerable tentative issue in cloud computing
as some of the clients are satisfied with existing policies or protocols where as rest of them …