A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing

R Bokade, A Navato, R Ouyang, X **, CA Chou… - Expert Systems with …, 2021 - Elsevier
Multimodal data fusion (MMDF) is the process of combining disparate data streams (of
different dimensionality, resolution, type, etc.) to generate information in a form that is more …

[HTML][HTML] Evaluation of multiple linear regression and machine learning approaches to predict soil compaction and shear stress based on electrical parameters

K Pentoś, JT Mbah, K Pieczarka, G Niedbała… - Applied Sciences, 2022 - mdpi.com
This study investigated the relationships between the electrical and selected mechanical
properties of soil. The analyses focused on comparing various modeling relationships under …

Comparison of artificial neural network and multivariate regression models for prediction of Azotobacteria population in soil under different land uses

M Ebrahimi, AAS Sinegani, MR Sarikhani… - … and Electronics in …, 2017 - Elsevier
Azotobacteria are one of the most important and beneficial soil bacteria which their number
and distribution are affected by physicochemical and biological properties of soil and land …

Prediction of wind drift and evaporation losses from sprinkler irrigation using neural network and multiple regression techniques

HM Al-Ghobari, MS El-Marazky, AZ Dewidar… - Agricultural Water …, 2018 - Elsevier
Wind drift and evaporation losses (WDEL) play a significant role in the development of water
conservation strategies in sprinkler irrigation. In this study, artificial neural network (ANN) …

Modelling soil behaviour in uniaxial strain conditions by neural networks

YR Reddy - International Journal of Emerging Technologies and …, 2018 - papers.ssrn.com
It is the primary goal of this research to investigate how neural networks may be used to
describe soil behavior under situations of uniaxial strains. Geotechnical engineering issues …

Modelling soil compaction of agricultural soils using fuzzy logic approach and adaptive neuro-fuzzy inference system (ANFIS) approaches

M Abbaspour-Gilandeh… - Modeling Earth Systems …, 2019 - Springer
One of the most important physical properties of the soil is its mechanical strength.
Increasing soil mechanical strength will lead to increments in the draft, fuel consumption …

Evaluating model-based relationship of cone index, soil water content and bulk density using dual-sensor penetrometer data

J Lin, Y Sun, PS Lammers - Soil and Tillage Research, 2014 - Elsevier
The relationship among cone index (CI), soil water content (θ) and bulk density (D b) plays a
critical role in assessing soil physical conditions. To predict D b as functions of the …

Application of artificial neural networks as an alternative to volumetric water balance in drip irrigation management in watermelon crop

OCDA ROCHA NETO, ADS Teixeira… - Engenharia …, 2015 - SciELO Brasil
Precision irrigation seeks to establish strategies which achieve an efficient ratio between the
volume of water used (reduction in input) and the productivity obtained (increase in …

[HTML][HTML] Mechanical Resistance to Penetration for Improved Diagnosis of Soil Compaction at Grazing and Forest Sites

LEAS Suzuki, DJ Reinert, CN Pillon, JM Reichert - Forests, 2024 - mdpi.com
Penetrometers and penetrographers are widely used to measure soil resistance to
penetration, but the results are associated with other soil properties (such as bulk density …

[PDF][PDF] Prediction of water quality for free water surface constructed wetland using ANN and MLRA

R Alias, NAM Noor, LM Sidek, A Kasa - Civ. Eng. Archit, 2021 - academia.edu
Constructed wetland is commonly used as a practice to reduce non-point source pollutants
and as a stormwater treatment system. For many years, the evaluation of water quality …