Applied Machine Learning (MDPI - Multidisciplinary Digital Publishing Institute, 2023)
Keywords: academic performance; adaptive camouflage; adaptive e-learning systems; advanced design methods; airflow signal; answer set programming; anticipatory classifier systems; ARIMA; artificial neural network; autoencoder; autoencoders; backpropagation neural network; backscatter data; BERT; big data; BiLSTM; Bitcoin; cascaded classifier; Chenab River Basin; classification; climate change impact; climate zone; cloud detection; code auto-completion; comparison of various techniques for topic classification; compressive strength; Computer science; computer vision; Computing and Information Technology; construction productivity; construction safety; construction site management; consumer classification; context-aware; convolutional neural network; convolutional neural network (CNN); convolutional neural networks; COREG algorithm; cost-benefit function; course grades; COVID; cross referencing topic; crossover; crowdfunding; cyber security; cyclical learning rate; data mining; decision tree; deep learning; deep multi-target prediction; deep neural network; deep neural networks; drifter trajectory; early prognosis; earning rate; Economics, Finance, Business and Management; educational data mining; evolutionary computation; extreme gradient boosting; feature analysis; Felder–Silverman learning style; fly ash; Gaussian Mixture Models (GMM); genetic algorithms; genetic programming; geopolymer concrete; GPT-2 model; grade point average; grammatical inference; GRNN; healthcare; heatwaves; higher order neural network; human resources; hybrid models; image completion; image representation; Industry and industrial studies; Information technology industries; instance selection; interpretation; investigation framework; Jhelum River Basin; k-means; KdV equation; KdV-Burgers equation; keyword extraction; large-scale dataset; LDA; learning classifier systems; lidar ceilometer; live prediction; local features; LSTM; machine learning; machine learning algorithms; Machine learning analysis; management; mass operator; Media, entertainment, information and communication industries