… MOS sensors, and performance improvements of MOS, enose… recognition/machine learning
algorithms are compared in this … algorithm, as a highly robust machine learning classification …

… evaluation test techniques and methods in describing the … organizations better manage and
utilize complex information. … other medical indication if the standard knowledge diagnosis is …

… hydrocarbons by identifying its abundant spectral information. However, detection precision
in soil still demands improvement. This study investigates the correction methods of 3DEEM …

… also be useful for the subtype diagnosis in the poorly differentiated … by conventional imaging
methods since its assessment is … features is helpful to improve the predictive performance of …

… Recently introduced machine learning algorithms have been extensively employed in all …
In conclusion, machine learning has the potential to significantly improve the diagnosis, …

… Secondly, this paper analyzes the problem that traditional machine learning algorithms are
… , different methods are used to improve the performance of computer in the diagnosis of chest …

… , deep learning classification, etc. These methods could effectively improve the diagnosis …
The current research results on automatic diagnosis and treatment of livestock and poultry …

… But those are curable if any diagnosis system is introduced into the … the health system of a
person, then we can give better … in healthcare systems using machine learning algorithms on …

… preterm births, analyzing medical diagnosis, and predicting … learning based on data
resampling can help ELM algorithm … To achieve better classification results of imbalanced data, …