Fiber Bragg Grating (FBG) sensors are among the most popular elements for fiber optic
sensor networks used for the direct measurement of temperature and strain. Modern FBG …

It is significant to fit a Gaussian function with the observation data for artificial intelligence or
other engineering fields. Considering the influence of noises, this article proposes a …

Counting repetitive actions are widely seen in human activities such as physical exercise.
Existing methods focus on performing repetitive action counting in short videos, which is …

A laboratory study that investigates how algorithms come into existence. Algorithms--often
associated with the terms big data, machine learning, or artificial intelligence--underlie the …

The pyrolysis of three biomass components (hemicellulose, cellulose and lignin) was
investigated in both a thermogravimetric analyzer (TGA) and self-designed macro-TGA …

In this article, we present a distributed and decentralized synchronization algorithm for
wireless sensor networks (WSNs). The proposed method achieves subnanosecond …

Urbanization and climate change are driving increases in urban land surface temperatures
that pose a threat to human and environmental health. To address this challenge, we must …

This research focuses on determining thermal comfort and analysing adaptive opportunities
in Japanese office buildings under various operation modes including free running (FR) …

Probabilistic inference in data-driven models is promising for predicting outputs and
associated confidence levels, alleviating risks arising from overconfidence. However …

Mechanical degradation is largely responsible for the short cycle life of silicon (Si)‐based
electrodes for future lithium‐ion batteries. An improved fundamental understanding of the …