Against the backdrop of booming engineering construction in loess areas, achieving rapid and accurate prediction of the loess collapsibility coefficient is of great significance. This study takes the loess in the Longdong area as the research object.... read more
Reliable seizure prediction can improve patient safety by enabling timely protective actions, yet most high-performing approaches depend on multichannel EEG, limiting feasibility in wearable and low-power environments. This study developed an ultrali... read more
Rapid response to ocean disturbance that has tsunamigenic potential requires characterisation of that disturbance. Traditional methods assume seismic sources, which can lead to suboptimal accuracy for non-seismic events. Some more recent approaches u... read more
This paper introduces a dataset and an experimental study on Decentralized Federated Learning (DFL) for Internet of Things (IoT) crowdsensing malware detection. The dataset comprises behavioral records from benign and eight malware attacks. A total o... read more
Aging is a complex, multifactorial process, influencing disease risk and overall health. While chronological age (CA) is widely used in clinical practice, it fails to capture individual aging trajectories. Current approaches to estimate biological ag... read more
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