Sensitivity analysis of batch sensors
This study initially conducted field tests in Hong Kong for 75 individual MAS gas sensors to analyze the coefficient characteristics of their sensitivity. Each MAS sensor underwent multiple 5 to 10-day…
This study initially conducted field tests in Hong Kong for 75 individual MAS gas sensors to analyze the coefficient characteristics of their sensitivity. Each MAS sensor underwent multiple 5 to 10-day…
Stability analysis examines how the solutions of a system behave as time progresses, particularly in response to changes in initial conditions or parameters. Following are the key steps involved in stability analysis of system Eq. (5).
The data sets we employ are from the TUDataset47 and OGB datasets5. Table 1 presents the data of TUDataset, and Table 2 presents the data of OGB datasets. TUDataset, a widely used dataset library for graph machine learning that contains…
This study focuses on qualitatively evaluating the clinical usefulness of a selection of XAI methods. Feedback from gastroenterologists shows that their XAI preferences vary: Not all prefer receiving model explanations in the clinic, and their…
Our team previously proposed a Desire-Driven Reasoning System (DDRS)26,27, which can infer the appropriate care service \(\ a\) based on the physiological desire \(\ d\) expressed by the care recipient. However, this…
We have presented some basic laws for working with the Frank t-norm and the t-conorm in this section. Based on these laws, we have constructed AOs, which we call \(p,q\)-QOFFWA, \(p,q\)-QOFFWG, \(p,q\)-QOFFOWA and \(p,q\)-QOFFOWG AOs.
…
Ratcliffe, J. Reducing Crime: A Companion for Police Leaders. Routledge, ??? (2018)
Caldwell, M., Andrews, J. T., Tanay, T. & Griffin, L. D. Ai-enabled future crime. Crime Science 9(1), 1–13 (2020).
Today, we are confronted with urgent challenges such as rising temperatures, poor air quality, environmental degradations, all of which are adversely impacting our health and the planets ecology. Addressing these issues is crucial for…
The goal for our FS method is to define an optimization objective tailored to a QUBO and complying with the constraints introduced by the current hardware. Consider an image dataset consisting of square,…
In this section, we first introduce the datasets, baselines, evaluation protocols, and parameter settings of the experiments, and subsequently conduct extensive experiments and ablation studies, with the aim of addressing the following research…