Abstract: Systems and methods for image classification include receiving imaging data of in-vivo or excised tissue of a patient during a surgical procedure. Local image features are extracted from the imaging data. A vocabulary histogram for the imaging data is computed based on the extracted local image features. A classification of the in-vivo or excised tissue of the patient in the imaging data is determined based on the vocabulary histogram using a trained classifier, which is trained based on a set of sample images with confirmed tissue types.

Abstract: Systems and methods for image classification include receiving imaging data of in-vivo or excised tissue of a patient during a surgical procedure. Local image features are extracted from the imaging data. A vocabulary histogram for the imaging data is computed based on the extracted local image features. A classification of the in-vivo or excised tissue of the patient in the imaging data is determined based on the vocabulary histogram using a trained classifier, which is trained based on a set of sample images with confirmed tissue types.

Abstract: A gas sensor, for example for use in air conditioning systems, has a gas-sensitive layer that includes a material that is sensitive to carbon dioxide. The material has a cross-sensitivity to air humidity. This is compensated for by measurement at two different temperatures. The measured gas values are calculated together, with the assumption that the sensitivity of the gas sensor to carbon dioxide exhibits a different curve with the temperature of the gas sensor than the sensitivity to water.

Abstract: A gas sensor, for example for use in air conditioning systems, has a gas-sensitive layer that includes a material that is sensitive to carbon dioxide. The material has a cross-sensitivity to air humidity. This is compensated for by measurement at two different temperatures. The measured gas values are calculated together, with the assumption that the sensitivity of the gas sensor to carbon dioxide exhibits a different curve with the temperature of the gas sensor than the sensitivity to water.

Abstract: An alcohol sensor having gas-sensitive layers made of polymers or inorganic oxides wherein a signal is read out by means of work function change which is produced in the form of a field-effect transistor.

Abstract: A gas sensor based on a field effect transistor (“FET”) evaluates both a change in work function of a gas-sensitive layer of the FET and a change in the capacitance of the layer. Thus, two physically independent signals are read from the gas-sensitive layer, each signal representing a sensitivity to a different gas. This reduces the effect of cross-sensitivities; that is, of one gas on the target gas. The underlying physical mechanisms, the first causing a change in the work function in a reaction with gases and the second causing a change in the capacitance of the sensitive layer, are widely different. Because of this, the two parameters demonstrate different gas sensitivities. If the reactions to both gases are known, the effect of the interfering gas on the sensor signal can be compensated for, and with this the concentration of the target gas can be determined.

Abstract: An alcohol sensor having gas-sensitive layers made of polymers or inorganic oxides wherein a signal is read out by means of work function change which is produced in the form of a field-effect transistor.