Although the field of deep learning has improved video-based dance classification, traditional models are computationally inefficient because they process redundant frames, and do not have the capability to center on discriminative key moments. In or... read more
Monitoring tropical ecosystem services such as carbon stock and biodiversity with satellite remote sensing is essential for addressing climate change and biodiversity loss, but collecting ground truth data is costly. We investigated whether Unmanned ... read more
Early diagnosis of temporomandibular disorders is challenging. Particularly, intra-articular temporomandibular joint (TMJ) abnormalities can only be confirmed using magnetic resonance imaging (MRI). This study aimed to develop a comprehensive screeni... read more
Pure shift NMR spectroscopy has found extensive applicationsĀ in exploring the structure, function, and interactions of molecules in an ultrahigh-resolution manner. However, time-consuming data acquisition resulting from additional time dimension for ... read more
This paper presents a hybrid method of combining the Random Forest (RF) algorithm in machine learning (ML) and the Gaussian process (GP) to design microstrip patch antennas at any frequency from 0.6 to 6.5 GHz. Distinct from many published works, the... read more
Early detection of dental caries in panoramic radiographs remains challenging due to subtle radiographic features and complex anatomical structures. This study develops a Transformer-based intelligent detection model specifically optimized for identi... read more
Soil erosion poses critical threats to agricultural sustainability and food security in semi-arid regions, necessitating innovative assessment frameworks for effective sustainable land management. This study presents an integrated Analytical Hierarch... read more
The Strychnos alkaloids have long been regarded as landmark targets for chemical synthesis due to their captivating architectures and notorious biological properties. However, the design of approaches that access multiple family members in an asymmet... read more
Environmental monitoring and assessment
Jan 23, 2026
As a crucial freshwater resource, groundwater plays an indispensable role in arid and semi-arid regions characterized by low annual precipitation and frequent droughts. Developing computational frameworks for groundwater level prediction is essential... read more
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