With the rapid development of new energy vehicles and Internet of Things technology, new energy vehicle users have an increasing demand for electric vehicle supply equipment (EVSE). However, a large number of EVSE are currently vulnerable to remote h... read more
The SYN-OCT dataset contains a total of 200,000 synthetic cross-sectional circumpapillary optical coherence tomography (OCT) images, comprising of 100,000 images from a generative image model for glaucoma eyes and 100,000 from a generative image mode... read more
This paper focused on enhancing text recognition, script identification, language classification, and point of interest (POI) extraction from images captured by Mobile Mapping Systems (MMS). The initiative was undertaken to improve the existing Compu... read more
Lung cancer is a leading cause of cancer-related mortality worldwide, and its early and accurate detection is critical for improving patient outcomes. Computed tomography (CT) scans are widely used to diagnose lung cancer; however, the accuracy of di... read more
In this study, we developed a machine learning-based global daily SWE product (SWEML) with 0.25° (~25 km) resolution for 1980-2020. Using k-means clustering, in-situ SWE measurements were grouped into 14 clusters, and a random forest model was traine... read more
Machine learning applications in the chemical sciences, especially when based on neural networks, critically depend on the availability of large quantities of high-quality data. As they provide excellent accuracy for both charged and neutral excitati... read more
Deep learning has demonstrated remarkable abilities in restoring fluorescence microscopy images degraded by noise, blur, or undersampling. However, most existing models are task-specific and trained on limited, homogeneously distributed data, which r... read more
Neural network quantization is an established technique for compressing real-valued models, but its application to complex-valued networks-essential in electromagnetics, acoustics, and quantum physics-remains underdeveloped. Conventional quantization... read more
The BDS precise point positioning (PPP) service broadcasts state space representation (SSR) corrections via PPP-B2b augmentation signals. To maximize research potentials of the service, this study develops a first-ever BDS PPP-B2b augmentation datase... read more
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