The exponential growth of scholarly literature necessitates automated, scalable systems for organizing knowledge domains. However, text classification of academic abstracts presents distinct challenges due to specialized terminology and diverse disco... read more
The advantages of concrete-filled steel tubular (CFST) have made it a popular choice for structural applications. For structural design and safety, the precise estimation of the axial capacity of the CFST is a crucial element. However, design codes c... read more
Car headlights and taillights, to provide cost-effective and high-data-rate interference-resilient communication, have spawned Vehicular Visible Light Communication (V2LC), a possible additional technology to radio-frequency systems. Since they can b... read more
Understanding runoff changes in the Yarlung Zangbo (YZ) basin is crucial for water resource management on the Tibetan Plateau (TP), but has been hindered by sparse data. This study provides a comprehensive hydrometeorological dataset for the YZ basin... read more
Accurate morphological classification of blood leukocytes remains a cornerstone of hematological diagnostics but still relies on manual expertise, leading to variability across laboratories. The CytologIA data challenge was organized to benchmark art... read more
Patch-wise learning is a common strategy for training neural networks on large-scale dense prediction problems, yet existing approaches assume uniform or fixed sampling distributions. This assumption is suboptimal when learning difficulty varies spat... read more
Accurate three-dimensional (3D) nuclear instance segmentation is a prerequisite for quantitative phenotyping in volumetric microscopy, yet remains challenging in densely packed tissues, irregular nuclear morphologies, and across heterogeneous imaging... read more
The galloping movement toward completely renewable power systems means that new control architectures are needed that can cope with increased variability to date whilst maintaining short-lived stability in low-inertia networks. This paper presents a ... read more
Difficult Optimization problems can be efficiently solved through nature-inspired optimization algorithms, which remain problem-independent and are computational models at a conceptual level. In this work, a Jaya algorithm will be offered for tacklin... read more
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