A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Reference Evapotranspiration (ET o) is a complex, dynamic and non-linear hydrological
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
Role of existing and emerging technologies in advancing climate-smart agriculture through modeling: A review
Under changing climate and burgeoning food production demands, climate-smart
agriculture (CSA) practices are the need of the hour. Physically-based crop models have …
agriculture (CSA) practices are the need of the hour. Physically-based crop models have …
A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem
Hydrological models play a crucial role in water planning and decision making. Machine
Learning-based models showed several drawbacks for frequent high and a wide range of …
Learning-based models showed several drawbacks for frequent high and a wide range of …
An analytical model to minimize the latency in healthcare internet-of-things in fog computing environment
Fog computing (FC) is an evolving computing technology that operates in a distributed
environment. FC aims to bring cloud computing features close to edge devices. The …
environment. FC aims to bring cloud computing features close to edge devices. The …
A novel approach of diabetic retinopathy early detection based on multifractal geometry analysis for OCTA macular images using support vector machine
MM Abdelsalam, MA Zahran - IEEE access, 2021 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is a complication of diabetes that affects the eyes. It is caused by
blood vessel damage of the light-sensitive tissue at the back of the retina …
blood vessel damage of the light-sensitive tissue at the back of the retina …
Enhancement of groundwater-level prediction using an integrated machine learning model optimized by whale algorithm
The present study attempted to predict groundwater levels (GWL) obtained from precipitation
and temperature data based on various temporal delays. The radial basis function (RBF) …
and temperature data based on various temporal delays. The radial basis function (RBF) …
A novel kernel extreme learning machine model coupled with K-means clustering and firefly algorithm for estimating monthly reference evapotranspiration in parallel …
Accurate and fast estimation of reference evapotranspiration (ET 0) is important in
determining crop water requirements, designing irrigation schedule, planning and managing …
determining crop water requirements, designing irrigation schedule, planning and managing …
Concrete compressive strength prediction modeling utilizing deep learning long short-term memory algorithm for a sustainable environment
SD Latif - Environmental Science and Pollution Research, 2021 - Springer
One of the most critical parameters in concrete design is compressive strength. As the
compressive strength of concrete is correctly measured, time and cost can be decreased …
compressive strength of concrete is correctly measured, time and cost can be decreased …
Meteorological drought analysis in response to climate change conditions, based on combined four-dimensional vine copulas and data mining (VC-DM)
This research provides a novel methodology for modeling multivariate dependence
structures of meteorological drought characteristics (severity, duration, peak, and interarrival …
structures of meteorological drought characteristics (severity, duration, peak, and interarrival …
Ensuring a generalizable machine learning model for forecasting reservoir inflow in Kurdistan region of Iraq and Australia
SD Latif, AN Ahmed - Environment, Development and Sustainability, 2024 - Springer
Correct inflow prediction is a critical non-engineering measure for ensuring flood control and
increasing water supply efficiency. In addition, accurate inflow prediction can offer reservoir …
increasing water supply efficiency. In addition, accurate inflow prediction can offer reservoir …