Researchers have developed an integrated IoT sensing and deep learning framework to monitor architectural heritage in traditional villages, achieving 98.78 ...
A new study demonstrates that terahertz time-domain spectroscopy can monitor the real-time aging and degradation of methylammonium lead iodide perovskite ...
Integrating Isolation Forest machine learning with the Linux Filesystem in Userspace achieved up to 98.7 percent detection accuracy for real-time ...
A sequential dual-layer edge computing framework integrates soft-voting intrusion detection and gradient boosting to screen clinical network traffic and patient ...
Researchers have developed a lightweight vision detector that achieves 95.94 percent mean average precision for coal and gangue identification under ...
A new AI framework called 3D OGT tracks every plant organ in 3D using only initial labels, achieving 88.10% accuracy ...
Researchers developed an ensemble-based Bayesian filtering method that estimates the unmeasurable heat flux between molten steel and a continuous casting ...
A new review of 75 studies proposes a unified data-driven framework linking polymer 3D printing defects, multi-sensor monitoring, and machine ...
A new non-iterative neural network called DNet-MRSP injects multi-resolution speckle priors into a U-Net decoder, achieving 0.00302-pixel displacement accuracy at ...
Researchers in Seoul have rebuilt the classic extreme studentized deviate test into an online, self-tuning algorithm that detects anomalies in ...
Researchers developed and tested an internet-enabled Black Box device that automatically attracts, counts, and reports malaria vector mosquitoes in real ...
Researchers at Tokyo University of Science have developed a wristwatch-type wearable sensor that uses screen-printed liquid-junction reference electrodes to monitor ...
A sweeping review of roughly 180 studies finds that low-cost gait analysis systems span five sensor modalities with complementary strengths, ...
In the complex landscape of public health, the need for innovative approaches to track and evaluate health interventions is more ...
