## 5 Conclusions  
In this paper, a smart adjustment technique for sensitivity enhancement of the surface heat flux probes was designed and validated in a critical experiment performed in real conditions. The proposed technique was based on combining the experimental and computational data to define a prescribed heat flux, thus omitting the need for traditional hardware equipment that would have to be used to perform the sensor performance checkin the standard way. The proposed method allows the heat flux to be determined using raw data from the heat flux sensor without a need to interfere with the ongoing experiment. As such, the sensor sensitivity can be automatically adjusted during the measurement based on the surveillance of experimental variables. The applicability of the proposed method was demonstrated and validated in a real experiment. The following conclusions can be drawn, based on the performance analysis, to summarize the main outcomes of the research:  
* Factory calibration of heat flux sensors is not always sufficient as the real experimental conditions may differ from those effective during the calibration. Also, some errors may arise from the type of installation of the heat flux sensors which can subsequently affect the sensitivity of the sensor.
* Continuous monitoring of heat flow sensor performance and silent checking of their accuracy allows the proposed technique to be applied instantaneously during the ongoing experiment without interfering with experimental apparatus or taking technological breaks required for sensor manipulation or replacement.
* The proposed approach is suitable for both short-term and long-term heat flux measurements while bringing an entirely new potential for maintenance-free applications. However, a qualified decision on sensor sensitivity re-adjustment or re-initialization of the computational model running in the background is crucial to ensure high accuracy of the method.
* The principles of the adaptive re-adjustments of heat flux sensor performance allow for their integration into automatic systems and smart HVAC technologies to efficiently control the indoor environment and thermal comfort of residential buildings based on real-time performance data.
* Although the validation was performed with sufficient accuracy, the additional testing would be beneficial to include various conditions, surface materials, or different kinds of probes. Such a complex validation should be considered an essential precondition.  
Conceptualization, J.K.; methodology, J.K. and R.C.; software, J.M.; validation, J.K. and J.M.; investigation, J.K.; resources, J.K.; data curation, J.K. and J.M.; writing--original draft preparation, J.K.; writing--review and editing, R.C.; visualization, J.K.; supervision, R.C.; project administration, J.M.; funding acquisition, J.K. All authors have read and agreed to the published version of the manuscript.  
This research has been supported by the Czech Science Foundation, under project No. 22-08786S.  
Not applicable.  
All data supporting the results presented in this manuscript are stored in the repositories of the Czech Technical University with an authorized access. and will be available upon a reasonable request sent to the corresponding author (J.K.).  
The authors declare no conflict of interest.