Dual-mode sweat urea sensor based on Ti3C2Tx MXene/CuO nanocomposite: Colorimetric-electrochemical detection optimized by machine learning and genetic algorithms
Thidarut Laochai, Hirotomo Nishihara, Jiaqian Qin, Manunya Okhawilai, Joseph Wang, Nadnudda Rodthongkum, Wiwittawin Sukmas
Topics & Concepts
Artificial intelligenceUreaMachine learningWearable computerMaterials scienceComputer scienceGenetic algorithmRandom forestElectrodeAlgorithmElectrochemical gas sensorWearable technologyBiological systemElectrochemistryRegressionOptimization algorithmRegression analysisArtificial neural networkMXene and MAX Phase MaterialsGas Sensing Nanomaterials and SensorsAdvanced Memory and Neural Computing