Air quality (2)
5) (1)
Air pollutants (1)
Air pollutants | Air quality | Industrial zones | Innovative polygon trend analysis (IPTA) (1)
air pollution | air quality management | meteorological parameters | multiple linear regression (MLR) | random forest (RF) (1)
Air quality | Data preprocessing | Feature selection | Long-short term memory (LSTM) | Particulate matter (PM10) (1)
Air quality prediction (1)
Air quality prediction | Bayesian Optimization | COVID-19 | Hyperband | Hyperparameter optimization | LSTM | Random Search (1)
artificial neural network (ANN) (1)
artificial neural network (ANN) | Cobalt separation | imidazolium-based ionic liquids | poly(vinyl chloride) (PVC) films | Polymeric membranes (1)
Artificial neural network | Eco-friendly fuels | Engine emissions prediction | Environmental sustainability | Sustainable transportation (1)
Artificial neural networks (1)
Artificial neural networks (ANN) | Emission reduction | Engine efficiency prediction | Environmental sustainability | Fuel efficiency enhancement (1)
Artificial neural networks | Ceramic coated | Emissions | Ethanol fuel | Thermal analysis (1)
Automotive engineering | Carbon monoxide emissions | Emission control | Engine performance optimization | Machine learning | Random Forest | Sustainability (1)
Bayesian Optimization (1)
Black Sea (1)
Caffeine (1)
Caffeine | Cu-Ti-PILCs | Fe-Ti-PILCs | photocatalytic degradation | TiO2 | zeolite (1)
Ceramic coated (1)
Cobalt (1)
Cobalt | Polymer inclusion membrane | Room temperature ionic liquid | Separation and purification (1)
Cobalt separation (1)
coffee ground (1)
coffee ground | Dieffenbachia | plant nutrients | stimulants | visual analysis (1)
Consumer behavior (1)
COVID-19 (1)
Cu-Ti-PILCs (1)
Data augmentation (1)
Data augmentation | Higher heating value | Machine learning | Poultry litter | Proximate analysis (1)
Data preprocessing (1)
Deep learning (1)
Deep learning | Fine particulate matter (PM2.5) | Gated recurrent unit (GRU) | Long-short term memory (LSTM) | Recurrent neural network (RNN) | Time windowing (1)
Dieffenbachia (1)
Disaster management (1)
Disaster management | Disaster preparedness | Nursing education | Nursing students | Shelter nursing (1)
Disaster preparedness (1)
disintegration performance | fiber composition | Flushable wipes | strength | toilet paper (1)
Disposal (1)
Emissions (1)
engine performance | ethanol | exhaust emissions | methanol | spark-ignition engine (1)
Environmental health | Noise barriers | Noise pollution | SoundPlan modeling | Urban noise management (1)
Ethanol fuel (1)
Feature selection (1)
Fe-Ti-PILCs (1)
Fine particulate matter(PM2 (1)
Flushable products (1)
Forest Fire Classification (1)
Forest Fire Severity (1)
gas chromatography (1)
Gated recurrent unit (GRU) (1)
heavy metals (1)
Higher heating value (1)
Hyperband (1)
Hyperparameter optimization (1)
Industrial zones (1)
Innovative polygon trend analysis (IPTA) (1)
imidazolium-based ionic liquids (1)
Kernel Naive Bayes (1)
Linear Discriminant Analysis (1)
Long -short term memory (LSTM) (1)
Long-short term memory (LSTM) (1)
LSTM (1)
Machine learning (1)
mass spectrometry (1)
multiple layer perceptron (1)
multiple linear regression (1)
Nonwovens (1)
Nursing education (1)
Nursing students (1)
OCP (1)
Particulate matter (PM 10 ) (1)
PCB (1)
PCDD/Fs (1)
persistent organic pollutants (1)
photocatalytic degradation (1)
plant nutrients (1)
poly(vinyl chloride) (PVC) films (1)
Polymer inclusion membrane (1)
polymer inclusion membranes (1)
Polymeric membranes (1)
Poultry litter (1)
Proximate analysis (1)
Random Search (1)
Recurrent neural network (RNN) (1)
Room temperature ionic liquid (1)
sediment (1)
Sediment (1)
Separation and purification (1)
Shelter nursing (1)
Source identification (1)
stimulants (1)
Thermal analysis (1)
Time windowing (1)
TiO2 (1)
Toilet paper (1)
visual analysis (1)
Wastewater infrastructures (1)
WFine Gaussian Support Vector Machine (1)
zeolite (1)