[HTML][HTML] Distance to empty soft sensor for ford escape electric vehicle
Electric vehicle (EV) drivers require reliable distance to empty (DTE) indication to plan their
trips. In the current study, feed forward neural networks based soft sensors were designed to …
trips. In the current study, feed forward neural networks based soft sensors were designed to …
Development of flood hazard map and emergency relief operation system using hydrodynamic modeling and machine learning algorithm
This study performs flood hazard mapping and evaluates community flood coping strategies.
In addition, it proposes a humanitarian aid information system (HAIS) to enhance emergency …
In addition, it proposes a humanitarian aid information system (HAIS) to enhance emergency …
Prediction of compaction and strength properties of amended soil using machine learning
WZ Taffese, KA Abegaz - Buildings, 2022 - mdpi.com
In the current work, a systematic approach is exercised to monitor amended soil reliability for
a housing development program to holistically understand the targeted material mixture and …
a housing development program to holistically understand the targeted material mixture and …
Diagnostic efficacy of systemic immune-inflammation biomarkers in benign prostatic hyperplasia using receiver operating characteristic and artificial neural network
R Ahmed, O Hamdy, RM Awad - Scientific Reports, 2023 - nature.com
Benign prostatic hyperplasia (BPH) is a chronic, progressive disease characterized by
mesenchymal cell-predominance and stromal and glandular cell-hyperproliferation …
mesenchymal cell-predominance and stromal and glandular cell-hyperproliferation …
Harmonics forecasting of wind and solar hybrid model driven by DFIG and PMSG using ANN and ANFIS
Grid integration of Renewable Energy Systems (RES) involves various types of power
electronics-based converters and inverters. The use of these electronic-based devices …
electronics-based converters and inverters. The use of these electronic-based devices …
A modeling method for the development of a bioprocess to optimally produce umqombothi (a South African traditional beer)
Bioprocess development for umqombothi (a South African traditional beer) as with other
traditional beer products can be complex. As a result, beverage bioprocess development is …
traditional beer products can be complex. As a result, beverage bioprocess development is …
Forecasting of photovoltaic power by means of non-linear auto-regressive exogenous artificial neural network and time series analysis
In this research paper, a nonlinear autoregressive with exogenous input (NARX) model of
the nonlinear system based on neural network and time series analysis is proposed to deal …
the nonlinear system based on neural network and time series analysis is proposed to deal …
Unsupervised damage detection for offshore jacket wind turbine foundations based on an autoencoder neural network
Structural health monitoring for offshore wind turbine foundations is paramount to the further
development of offshore fixed wind farms. At present time there are a limited number of …
development of offshore fixed wind farms. At present time there are a limited number of …
[HTML][HTML] Biodiesel production from waste cat fish oil using heterogeneous catalyst from cat fish born: A viable waste management approach, and ANN modeling of …
CM Agu, KA Ani, PO Abiazieije, JA Omeje… - Waste Management …, 2024 - Elsevier
Biodiesel from vegetable or animal feedstock can serve as a suitable source for renewable
energy. This study utilized heterogeneous catalyst obtained from fish bone for biodiesel …
energy. This study utilized heterogeneous catalyst obtained from fish bone for biodiesel …
Finding the optimal topology of an approximating neural network
A large number of researchers spend a lot of time searching for the most efficient neural
network to solve a given problem. The procedure of configuration, training, testing, and …
network to solve a given problem. The procedure of configuration, training, testing, and …