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[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications
VG Dhanya, A Subeesh, NL Kushwaha… - Artificial Intelligence in …, 2022 - Elsevier
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
A comprehensive survey on aquila optimizer
Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
Prediction of weighted arithmetic water quality index for urban water quality using ensemble machine learning model
U Mohseni, CB Pande, SC Pal, F Alshehri - Chemosphere, 2024 - Elsevier
Urban water quality index (WQI) is an important factor for assessment quality of groundwater
in the urban and rural area. In this research, the Weighted Arithmetic Water Quality Index …
in the urban and rural area. In this research, the Weighted Arithmetic Water Quality Index …
Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection
Monitoring and assessing groundwater quality are important for sustainable water resource
management. Therefore, the present study aimed to analyze and predict the water quality …
management. Therefore, the present study aimed to analyze and predict the water quality …
Using unsupervised machine learning models to drive groundwater chemistry and associated health risks in Indo-Bangla Sundarban region
JN Jannat, ARMT Islam, MY Mia, SC Pal, T Biswas… - Chemosphere, 2024 - Elsevier
Groundwater is an essential resource in the Sundarban regions of India and Bangladesh,
but its quality is deteriorating due to anthropogenic impacts. However, the integrated factors …
but its quality is deteriorating due to anthropogenic impacts. However, the integrated factors …
Ant-inspired metaheuristic algorithms for combinatorial optimization problems in water resources management
R Bhavya, L Elango - Water, 2023 - mdpi.com
Ant-inspired metaheuristic algorithms known as ant colony optimization (ACO) offer an
approach that has the ability to solve complex problems in both discrete and continuous …
approach that has the ability to solve complex problems in both discrete and continuous …
Revolutionizing groundwater management with hybrid AI models: A practical review
M Zaresefat, R Derakhshani - Water, 2023 - mdpi.com
Develo** precise soft computing methods for groundwater management, which includes
quality and quantity, is crucial for improving water resources planning and management. In …
quality and quantity, is crucial for improving water resources planning and management. In …
Groundwater quality characterization using an integrated water quality index and multivariate statistical techniques
VK Gautam, M Kothari, B Al-Ramadan, PK Singh… - PLoS one, 2024 - journals.plos.org
This study attempts to characterize and interpret the groundwater quality (GWQ) using a GIS
environment and multivariate statistical approach (MSA) for the Jakham River Basin (JRB) in …
environment and multivariate statistical approach (MSA) for the Jakham River Basin (JRB) in …
Development of wavelet-based kalman online sequential extreme learning machine optimized with boruta-random forest for drought index forecasting
Drought is a stochastic and recurring hydrological natural hazard that occurs due to a
shortage of precipitation over a period of time. Drought forecasting in water resources …
shortage of precipitation over a period of time. Drought forecasting in water resources …
[HTML][HTML] Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly …
Evapotranspiration is one of agricultural water management's most significant and impactful
hydrologic processes. A new multi-decomposition deep learning-based technique is …
hydrologic processes. A new multi-decomposition deep learning-based technique is …