Abstract: A gas sensing device for sensing a target gas in a gas mixture, including a measurement module configured for obtaining a measurement signal, the measurement signal being responsive to a concentration of the target gas in the gas mixture, and a processing module configured for determining, for each of a sequence of samples of the measurement signal, a set of features, the features representing respective characteristics of the measurement signal, and using a neural network for determining an estimation of the concentration of the target gas based on the sets of features determined for the samples of the sequence, where the neural network comprises an attention layer to weight respective contributions of the samples to the estimation.

Abstract: A gas sensing device includes one or more chemo-resistive gas sensors; one or more heat sources, wherein the gas sensors are heated according to one or more first temperature profiles during the recovery phases and according to one or more second temperature profiles during the sense phases; a preprocessing processor for generating preprocessed signal samples; a feature extraction processor for extracting one or more feature values from the received preprocessed signal samples; and a gas concentration processor for creating a sensing result, wherein the gas concentration processor includes a classification processor for outputting a class decision value, wherein the classification processor is configured for outputting a confidence value, wherein the classification processor includes a first trained model based algorithm processor, wherein the gas concentration processor comprises a quantification processor for creating an estimation value, and wherein the quantification processor comprises a second trained m

Abstract: A device for determining a concentration of a target gas in a mobile application comprises a measurement module for obtaining measurement information about a concentration measurement of a target gas; a communication module for communicating with at least one further device via a direct wireless communication path, wherein the communication module receives information about a further concentration measurement of the target gas from the further device; and a calibration module for using calibration information for determining a calibrated measurement value on the basis of the measurement information, and for revising the calibration information by using the received information about the further concentration measurement.

Abstract: A gas sensing device includes one or more chemo-resistive gas sensors; one or more heat sources; a preprocessing processor; a feature extraction processor; a discriminative embedding network processor for receiving sets of feature values and for creating for each of the sets of feature values a set of embedded feature values; a classification processor for receiving the sets of embedded feature values and for creating a classification value for each set of the embedded feature values, wherein the classification value indicates a class of a mixture of gases; and a quantification processor for receiving the sets of embedded feature values and the classification values, wherein the quantification processor is creates, for each of the gases, a sensing result for each of the sets of embedded feature values.

Abstract: A sensing device for sensing a target gas includes a measurement module for providing measurement information about a measurement of the concentration. The sensing device further includes a signal calibration module for using a machine learning model for determining, on the basis of the measurement information, a calibrated measurement value of the concentration. The signal calibration module determines a feedback feature using the calibrated measurement value. The signal calibration module uses the machine learning model for determining a subsequent calibrated measurement value on the basis of subsequent measurement information about a subsequent measurement of the concentration and on the basis of the feedback feature.

Abstract: In accordance with an embodiment, a sensing device for sensing an environmental parameter includes a measurement module configured for providing a sequence of measurement values in dependence on the environmental parameter; a communication module configured for communicating with a further sensing device; and a function analysis module coupled to the measurement module and the communication module. The function analysis module configured for using a neural network for determining a first temporal feature on the basis of the sequence of measurement values, and determining, on the basis of the first temporal feature and on the basis of a second temporal feature provided by the further sensing device, information about a functional state of the measurement module.

Abstract: A gas sensing device includes one or more chemo-resistive gas sensors; one or more heat sources, wherein the gas sensors are heated according to one or more first temperature profiles during the recovery phases and according to one or more second temperature profiles during the sense phases; a preprocessing processor for generating preprocessed signal samples; a feature extraction processor for extracting one or more feature values from the received preprocessed signal samples; and a gas concentration processor for creating a sensing result, wherein the gas concentration processor includes a classification processor for outputting a class decision value, wherein the classification processor is configured for outputting a confidence value, wherein the classification processor includes a first trained model based algorithm processor, wherein the gas concentration processor comprises a quantification processor for creating an estimation value, and wherein the quantification processor comprises a second trained m