HomoeoGWAS is a GWAS framework for allopolyploid crops (wheat AABBDD, cotton AADD, rapeseed AACC, oat AACCDD, strawberry octoploid). It combines subgenome-partitioned random-effect LMMs with per-logical-chromosome LOCO, an optional scope-conditional homoeolog Hadamard kernel, and a zero-shot PlantCaduceus + AgroNT deep-learning prior that re-ranks suggestive GWAS hits. A dual-GPU native scan handles up to ~10^8 markers.
User-centric (UC) cell-free (CF) massive multiple-input multiple-output (MIMO) systems have emerged as a promising solution for the beyond fifth generation (B5G) and the sixth generation (6G) wireless communication systems, providing enhanced coverage, capacity, and user fairness…
Computed tomography (CT) has become an indispensable imaging technique in medical diagnostics and industrial applications, owing to its non-invasive nature and high resolution in visualizing object internal structures. While X-ray CT (X-ray computed tomography) significantly enha…
Obtaining high-quality annotated data has become a primary bottleneck for training deep learning models, particularly for dense prediction tasks like semantic segmentation and video salient object segmentation. The demand for meticulous, pixel-level labeling makes fully-supervise…
With increasing emphasis on energy efficiency and carbon emission reduction in the building sector, rapid and scalable energy modelling of existing buildings is critical for retrofit projects and policy development. Conventional surveys, data collection and energy modelling proce…
Large language models frequently possess the knowledge needed to answer a question correctly yet commit to the wrong response. This paper presents friction-guided inference, a calibrated inference-time pipeline that uses the model's own logprob distribution — available at zero co…
Deep neural networks have achieved substantial success in image, text, and signal analysis, but their advantage is less consistent for heterogeneous tabular data, where tree-based ensemble methods often remain strong baselines. This study proposes CANON (Cross-Attention Neuro-sym…