IEEE transactions on neural networks and learning systems
Aug 21, 2025
The Rubik's cube, a widely recognized combinatorial puzzle with an astronomically vast state space, has been the subject of various research experiments with neural networks used as heuristic estimators to navigate the state-space exploration. Howeve... read more
Natural stone and ceramic tile industries are two of the leading competitors in the global building materials sector. This study employs a multidimensional and integrative framework to conduct a comprehensive comparative analysis of these strategic i... read more
We present Comp-X, the first intelligently interactive image compression
paradigm empowered by the impressive reasoning capability of large language
model (LLM) agent. Notably, commonly used image codecs usually suffer from
limited coding modes and... read more
In recent years, silica nanoparticles have garnered tremendous attention as drug-delivery carriers. However, the cell permeability of nanoparticles remains a major obstacle that limits the drug-delivery efficiency of drug carriers. It is a common pra... read more
Text-to-SQL systems translate natural language questions into SQL queries,
providing substantial value for non-expert users. While large language models
(LLMs) show promising results for this task, they remain error-prone. Query
ambiguity has been ... read more
Accurate morphological quantification of renal pathology functional units
relies on instance-level segmentation, yet most existing datasets and automated
methods provide only binary (semantic) masks, limiting the precision of
downstream analyses. A... read more
Congenital heart defect (CHD) detection in ultrasound videos is hindered by
image noise and probe positioning variability. While automated methods can
reduce operator dependence, current machine learning approaches often neglect
temporal informatio... read more
Tree instance segmentation of airborne laser scanning (ALS) data is of utmost
importance for forest monitoring, but remains challenging due to variations in
the data caused by factors such as sensor resolution, vegetation state at
acquisition time,... read more
Droplet jetting technologies offer a versatile, digital platform to fabricate functional devices from nanomaterial building blocks. Inkjet, aerosol jet, and electrohydrodynamic jet printing constitute three distinct technologies for precise patternin... read more
Real-time 3D trajectory player tracking in sports plays a crucial role in
tactical analysis, performance evaluation, and enhancing spectator experience.
Traditional systems rely on multi-camera setups, but are constrained by the
inherently two-dime... read more
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