Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations
Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …
as execution time, computational complexity, and efficiency like process time and delays in …
Air pollution in central European capital (Budapest) via self-made passive samplers and Sentinel-3B SYN satellite images
This study is to identify the types of ultra-fine air pollutants present in the local atmosphere.
The authors utilize Sentinel-3B SYN satellite images to identify the presence of Aerosol …
The authors utilize Sentinel-3B SYN satellite images to identify the presence of Aerosol …
Geochemistry and the optics of geospatial analysis as a preposition of water quality on a macroscale
The water treatment depends exclusively on the identification of residues containing toxic
chemical elements accumulated in NPs (nanoparticles), and ultrafine particles sourced from …
chemical elements accumulated in NPs (nanoparticles), and ultrafine particles sourced from …
Nanoparticles in terrestrial sediments and the behavior of the spectral optics of Sentinel-3B OLCI Satellite images in a river basin of UNESCO World Cultural and …
A Castro, BW Bodah, A Neckel, J Domeneghini… - … Science and Pollution …, 2024 - Springer
The dangerous chemical elements associated with nanoparticles (NPs) and ultra-fine
sediment particles in hydrological bays have the capacity to move contaminants to large …
sediment particles in hydrological bays have the capacity to move contaminants to large …
Energy Demand Prediction Considering Weather Change Effects using Artificial Neural Network
B Baranitharan, C Sivapragasam… - 2021 3rd International …, 2021 - ieeexplore.ieee.org
This study proposes the development of a comprehensive model of prediction for energy
demand. The very first step is to do prediction using the energy need as the input data …
demand. The very first step is to do prediction using the energy need as the input data …