A transfer Learning-Based LSTM strategy for imputing Large-Scale consecutive missing data and its application in a water quality prediction system
Z Chen, H Xu, P Jiang, S Yu, G Lin, I Bychkov… - Journal of …, 2021 - Elsevier
In recent years, water quality monitoring has been crucial to improve water resource
protection and management. Under the relevant laws and regulations, environmental …
protection and management. Under the relevant laws and regulations, environmental …
[HTML][HTML] An ensembled method for predicting dissolved oxygen level in aquaculture environment
Dissolved oxygen (DO) level is an important indicator aquaculture quality. This study
proposes an ensembled method, WTD-GWO-SVR, combining wavelet threshold denoising …
proposes an ensembled method, WTD-GWO-SVR, combining wavelet threshold denoising …
Support vector machine (SVM) model development for prediction of fecal coliform of Upper Green River Watershed, Kentucky, USA
M Talnikar, J Anmala, T Venkateswarlu… - Sustainable Water …, 2024 - Springer
The classification and prediction of water quality parameters (WQPs) such as Fecal Coliform
in river waters are crucial for developing a Decision Support System or Tool for water quality …
in river waters are crucial for developing a Decision Support System or Tool for water quality …
Classification and Prediction of Skyrmion Material Based on Machine Learning
D Liu, Z Liu, JE Zhang, Y Yin, J Xi, L Wang, JF Xiong… - Research, 2023 - spj.science.org
The discovery and study of skyrmion materials play an important role in basic frontier
physics research and future information technology. The database of 196 materials …
physics research and future information technology. The database of 196 materials …
Data-driven design of B20 alloys with targeted magnetic properties guided by machine learning and density functional theory
PV Balachandran - Journal of Materials Research, 2020 - cambridge.org
Chiral magnets in the B20 crystal structure host a peculiar spin texture in the form of a
topologically stable skyrmion lattice. However, the helical transition temperature (TC) of …
topologically stable skyrmion lattice. However, the helical transition temperature (TC) of …
A Data-Driven Hybrid Machine Learning and Transfer Learning Algorithm for Long Consecutive Atmospheric Environment Missing Data Imputation
H Meng, L Shao, D Fu, G Song… - 2024 43rd Chinese …, 2024 - ieeexplore.ieee.org
Comprehensive and accurate environmental data form the foundation for studying the
correlation between substance properties and the environment. Nevertheless, missing data …
correlation between substance properties and the environment. Nevertheless, missing data …
[PDF][PDF] Flow Forecasting and Measuring Environmental Flow Using Machine Learning Techniques
S Pal, TK SAHA - 2022 - scholar.archive.org
Flow alteration study in rivers persuaded by damming is well studied and reported signi cant
ow failure. But how far the existing ow is ecologically ambient, in near future and what will be …
ow failure. But how far the existing ow is ecologically ambient, in near future and what will be …