Agricultural cycle is the annual cycle of activities for planting and harvesting. The global
warming and climate change currently cause serious impacts on the agricultural cycle …

Additive manufacturing (AM) is a revolutionary technology that enables production of
intricate structures while minimizing material waste. However, its full potential has yet to be …

Abstract Machine learning (ML) methodologies were applied to detect and discriminate five
indoor volatile organic compounds (VOCs) such as benzene, xylene, toluene, formaldehyde …

The recent development of MAU-9 electronic sensory methods, based on artificial olfaction
detection of volatile emissions using an experimental metal oxide semiconductor (MOS) …

Low-dimensional metal oxides-based electronic noses have been applied in various fields,
such as food quality, environmental assessment, coal mine risk prediction, and disease …

The engineered biomimetic sensors can not only realize the action of organs, but also
combine functional materials as in vitro organs by simulating the response of biological …

Ensuring the safety of autonomous vehicles is becoming increasingly important with
ongoing technological advancements. In this paper, we suggest a machine learning-based …

Early disease detection is often correlated with a reduction in mortality rate and improved
prognosis. Currently, techniques like biopsy and imaging that are used to screen chronic …

The gas sensor drift problem arises from the bias of data, which is known as a significant
problem in the artificial olfactory community. Traditionally, hardware calibration methods are …

Early detection of colorectal cancer is crucial for improving outcomes and reducing mortality.
While there is strong evidence of effectiveness, currently adopted screening methods …