Dynamic interactions among knowledge management, strategic foresight and emerging technologies

LS Nascimento, FM Reichert… - Journal of Knowledge …, 2021 - emerald.com
Purpose This paper aims to discuss the dynamic interactions among knowledge
management, strategic foresight and emerging technologies, resulting in a framework that …

Modeling the lockdown relaxation protocols of the Philippine government in response to the COVID-19 pandemic: An intuitionistic fuzzy DEMATEL analysis

L Ocampo, K Yamagishi - Socio-economic planning sciences, 2020 - Elsevier
The COVID-19 pandemic, which started at Wuhan, has shut down world economies,
prompting governments to impose drastic lockdown measures of the economy and the …

Development of new machine learning model for streamflow prediction: Case studies in Pakistan

RM Adnan, RR Mostafa, A Elbeltagi, ZM Yaseen… - … Research and Risk …, 2022 - Springer
For accurate estimation of streamflow of a mountainous river basin, a novel hybrid method is
developed in this study, where gradient-based optimization (GBO) algorithm is employed to …

Estimation of actual evapotranspiration: A novel hybrid method based on remote sensing and artificial intelligence

F Hadadi, R Moazenzadeh, B Mohammadi - Journal of Hydrology, 2022 - Elsevier
Actual evapotranspiration (AET) is one of the decisive factors controlling the water balance
at the catchment level, particularly in arid and semi-arid regions, but measured data for …

Application of computational intelligence methods in agricultural soil–machine interaction: A review

C Badgujar, S Das, DM Figueroa, D Flippo - Agriculture, 2023 - mdpi.com
Rapid advancements in technology, particularly in soil tools and agricultural machinery,
have led to the proliferation of mechanized agriculture. The interaction between such …

A deep neural network architecture to model reference evapotranspiration using a single input meteorological parameter

SM Ravindran, SKM Bhaskaran, SKN Ambat - Environmental processes, 2021 - Springer
Hydro-agrological research considers the reference evapotranspiration (ETo), driven by
meteorological variables, crucial for achieving precise irrigation in precision agriculture. ETo …

Long-term forecasting of monthly mean reference evapotranspiration using deep neural network: A comparison of training strategies and approaches

MY Chia, YF Huang, CH Koo, JL Ng, AN Ahmed… - Applied Soft …, 2022 - Elsevier
Prediction of reference evapotranspiration (ET 0) remains a challenge, especially with
forward multi-step forecasting. The bottleneck facing current research is the limitation of the …

Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine

MY Chia, YF Huang, CH Koo - Agricultural Water Management, 2021 - Elsevier
Reference evapotranspiration (ET 0) is usually calculated as a pre-requisite to obtain the
actual evapotranspiration (ET). Estimation of ET 0 using extreme learning machine (ELM) is …

Machine Learning Based Prediction of Reference Evapotranspiration (ET0) Using IoT

Z Hu, RN Bashir, AU Rehman, SI Iqbal… - IEEE …, 2022 - ieeexplore.ieee.org
Accurate estimation of Reference Evapotranspiration (ET 0) is important for efficient
management and conservation of irrigation water. Existing methods of ET 0 rate …

Evaluation and monitoring of impact resistance of fiber reinforced concrete by adaptive neuro fuzzy algorithm

Y Cao, Y Zandi, A Rahimi, D Petković, N Denić… - Structures, 2021 - Elsevier
Since there is no comprehensive research of the impact resistance of fiber reinforced
concrete structure, the main goal of the study was to investigate the most influential …