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Hybrid genetic optimization for quantum feature map design
Kernel methods are an import class of techniques in machine learning. To be effective, good feature maps are crucial for map** non-linearly...
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Assessment of spray patterns and efficiency of an unmanned sprayer used in planar growing systems
Automated technologies in precision agriculture enable unmanned systems to precisely target areas with chemicals through controlled nozzle movements....
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Performance evaluation of nursing homes using finite mixtures of logistic models and M-quantile regression for binary data
Evaluating the performance of health care institutions is of paramount interest and it is often conducted using generalized linear mixed models. In...
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Virtual reality exposure effect in acrophobia: psychological and physiological evidence from a single experimental session
In recent years, virtual reality (VR) has gained attention from researchers in diverse fields, particularly in therapy of phobias. Currently, virtual...
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Predicting the rock cutting performance indices using gene expression modeling
In this study, a machine learning approach was employed to optimize the rock cutting process for construction practices and geotechnical engineering...
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The ethics of personalised digital duplicates: a minimally viable permissibility principle
With recent technological advances, it is possible to create personalised digital duplicates. These are partial, at least semi-autonomous,...
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A hyperparameter study for quantum kernel methods
Quantum kernel methods are a promising method in quantum machine learning thanks to the guarantees connected to them. Their accessibility for...
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Dual-view graph convolutional network for multi-label text classification
Multi-label text classification refers to assigning multiple relevant category labels to each text, which has been widely applied in the real world....
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Enhanced streamflow forecasting using attention-based neural network models: a comparative study in MOPEX basins
To mitigate the adverse effects of floods, hydrologists are increasingly turning to artificial intelligence methodologies to enhance streamflow...
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3D-Scene-Former: 3D scene generation from a single RGB image using Transformers
3D scene generation requires complex hardware setups, such as multiple cameras and depth sensors. To address this challenge, there is a need for...
