[HTML][HTML] Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review
M Kaveh, MS Mesgari - Neural Processing Letters, 2023 - Springer
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …
and deep learning (DL) architectures is considered one of the most challenging machine …
Artificial ecosystem optimization with deep learning enabled water quality prediction and classification model
The majority of what is needed to maintain life is found in the approximately 70 percent of
the earth's surface that is composed of water. Water quality has been deteriorating at an …
the earth's surface that is composed of water. Water quality has been deteriorating at an …
Quantifying uncertainty of marine water quality forecasts for environmental management using a dynamic multi-factor analysis and multi-resolution ensemble …
R Yang, H Liu, Y Li - Chemosphere, 2023 - Elsevier
Unpredictable climate change and human activities pose enormous challenges to assessing
the water quality components in the marine environment. Accurately quantifying the …
the water quality components in the marine environment. Accurately quantifying the …
[HTML][HTML] Forecasting of Groundwater Quality by Using Deep Learning Time Series Techniques in an Arid Region
Groundwater is regarded as the primary source of agricultural and drinking water in semi-
arid and arid regions. However, toxic substances released from sources such as landfills …
arid and arid regions. However, toxic substances released from sources such as landfills …
Elevating health of the Turag River: a synergistic water quality assessment approach
Abstract The Turag River, located in Dhaka, Bangladesh, has emerged as a pivotal case
study for assessing water pollution. It faces multiple sources of pollutants, including …
study for assessing water pollution. It faces multiple sources of pollutants, including …
Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features
Water quality indicators (WQIs), such as chlorophyll-a (Chl-a) and dissolved oxygen (DO),
are crucial for understanding and assessing the health of aquatic ecosystems. Precise …
are crucial for understanding and assessing the health of aquatic ecosystems. Precise …
Estimation of Soybean Internal Quality Based on Improved Support Vector Regression Based on the Sparrow Search Algorithm Applying Hyperspectral Reflectance …
K Tan, Q Liu, X Chen, H Xia, S Yao - Agriculture, 2024 - mdpi.com
The nutritional components of soybean, such as fat and protein, directly decide soybean
quality. The fast and accurate detection of these components is significant to soybean …
quality. The fast and accurate detection of these components is significant to soybean …
Sparrow Search Optimization with Deep Belief Network based Wind Power Prediction Model
M Aruna, PB Narayana, SN Kumar… - … on Intelligent Data …, 2023 - ieeexplore.ieee.org
Wind power is a clear feature of intermittent, nonstationary, and difficult fluctuations, making
it challenging for achieving consistent wind power generation. Assuming the restricted …
it challenging for achieving consistent wind power generation. Assuming the restricted …
Action reliability analysis under random‐interval hybrid uncertainty of chain conveyor based on adaptive intelligent extremum surrogate model
H Wen, B Hou, Y Lin, X Jin - Quality and Reliability Engineering …, 2024 - Wiley Online Library
The action responses of controlled mechanisms are often multiparametric, nonlinear, and
uncertain. Complex dynamics and limited uncertain information pose difficulties for action …
uncertain. Complex dynamics and limited uncertain information pose difficulties for action …
[PDF][PDF] Forecasting of Groundwater Quality by Using Deep Learning Time Series Techniques in an Arid Region. Sustainability 2023, 15, 6529
AKA Ahmed, M El-Rawy, AM Ibraheem, N Al-Arifi… - 2023 - academia.edu
Groundwater is regarded as the primary source of agricultural and drinking water in semi-
arid and arid regions. However, toxic substances released from sources such as landfills …
arid and arid regions. However, toxic substances released from sources such as landfills …