Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities
V Papastefanopoulos, P Linardatos… - Smart Cities, 2023 - mdpi.com
Smart cities are urban areas that utilize digital solutions to enhance the efficiency of
conventional networks and services for sustainable growth, optimized resource …
conventional networks and services for sustainable growth, optimized resource …
Towards Smart Farming: Fog-enabled intelligent irrigation system using deep neural networks
M Cordeiro, C Markert, SS Araújo, NGS Campos… - Future Generation …, 2022 - Elsevier
The most amount of withdrawn freshwater in the world is used for agriculture activities to
extract essential products for human survival. Smart Farming can manage and optimize the …
extract essential products for human survival. Smart Farming can manage and optimize the …
A multihead LSTM technique for prognostic prediction of soil moisture
P Datta, SA Faroughi - Geoderma, 2023 - Elsevier
Prognostic prediction of soil moisture is a critical step in various fields such as geotechnical
engineering, agriculture, geology, hydrology, and climatology. For example, in agricultural …
engineering, agriculture, geology, hydrology, and climatology. For example, in agricultural …
Using multimodal remote sensing data to estimate regional-scale soil moisture content: A case study of Beijing, China
M Cheng, B Li, X Jiao, X Huang, H Fan, R Lin… - Agricultural Water …, 2022 - Elsevier
An accurate regional estimate of soil moisture content (SMC) is important for water
management and drought monitoring. Traditional ground measurement methods of SMC are …
management and drought monitoring. Traditional ground measurement methods of SMC are …
[HTML][HTML] Digitalization of Analysis of a Concrete Block Layer Using Machine Learning as a Sustainable Approach
The concrete block pavement (CBP) system has a surface layer consisting of concrete block
pavers and joint sand over a bedding sand layer. The non-homogeneous nature of the …
pavers and joint sand over a bedding sand layer. The non-homogeneous nature of the …
Artificial neural networks and noncontact microwave NDT for evaluation of polypropylene fiber concrete
Polypropylene fibers are extensively incorporated into reinforced concrete to enhance
performance aspects such as crack resistance, flexural and tensile strength, fire resistance …
performance aspects such as crack resistance, flexural and tensile strength, fire resistance …
Machine learning applications in vadose zone hydrology: A review
Abstract Machine learning (ML) has been broadly applied for vadose zone applications in
recent years. This article provides a comprehensive review of such developments. ML …
recent years. This article provides a comprehensive review of such developments. ML …
Water information extraction based on multi-model RF algorithm and Sentinel-2 image data
Z Jiang, Y Wen, G Zhang, X Wu - Sustainability, 2022 - mdpi.com
For the Sentinel-2 multispectral satellite image remote sensing data, due to the rich spatial
information, the traditional water body extraction methods cannot meet the needs of practical …
information, the traditional water body extraction methods cannot meet the needs of practical …
Estimating soil moisture content in citrus orchards using multi-temporal sentinel-1A data-based LSTM and PSO-LSTM models
Soil moisture content is a vital variable in agricultural, hydrological, ecological and
climatological processes. However, susceptible to soil type, soil structure, topography …
climatological processes. However, susceptible to soil type, soil structure, topography …
Computer Model for an Intelligent Adjustment of Weather Conditions Based on Spatial Features for Soil Moisture Estimation
LP Sánchez-Fernández, DA Flores-Carrillo… - Mathematics, 2024 - mdpi.com
In this paper, an intelligent weather conditions fuzzy adjustment based on spatial features
(IWeCASF) is developed. It is indispensable for our regional soil moisture estimation …
(IWeCASF) is developed. It is indispensable for our regional soil moisture estimation …