Results 221 to 230 of about 3,424,284 (379)
A location semantic privacy protection model based on spatial influence. [PDF]
Kuang L, Shi W, Chen X, Zhang J, Liao H.
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Point‐cloud segmentation with in‐silico data augmentation for prostate cancer treatment
Abstract Background In external x‐ray radiation therapy, the administered dose distribution can deviate from the planned dose due to alterations in patient positioning, changes in intra‐fraction anatomy, and the limited precision of the beam delivery system in spatial terms.
Jianxin Zhou+4 more
wiley +1 more source
Automated Nanoparticle Recognition and Isolation for Quantitative Analysis using Fully Convolutional Networks. Abstract Silver (Ag) nanoparticles enhance conductivity in composite structures, offering a lightweight solution for solar panels. However, adequate rigidity is essential for withstanding mechanical and thermal stresses.
Behzad H. Soudmand+6 more
wiley +1 more source
Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014)
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Programming semantics for multiprogrammed computations [PDF]
Jack B. Dennis, Earl C. Van Horn
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Semantics-Assisted Training Graph Convolution Network for Skeleton-Based Action Recognition. [PDF]
Hu H, Cao Y, Fang Y, Meng Z.
europepmc +1 more source
Structural Cerebral Correlates of Perplexity: Exploring a Linguistic Marker in Cognitive Aging
ABSTRACT Language changes are among the earliest indicators of cognitive decline in aging. Perplexity, a linguistic measure derived from information theory that quantifies speech predictability, has emerged as a potential marker for detecting early cognitive changes. However, its underlying neural substrates remain unclear.
Xingsong Wang+6 more
wiley +1 more source
Towards a computational model for the semantics of why-questions [PDF]
Wolfgang Wahlster
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Semantic Arithmetic Coding Using Synonymous Mappings. [PDF]
Liang Z, Niu K, Xu J, Zhang P.
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ABSTRACT The integration of big data into nephrology research will open new avenues for analyzing and understanding complex biological datasets, driving advances in personalized management of kidney diseases. This paper describes the multifaceted challenges and opportunities by incorporating big data in nephrology, emphasizing the importance of data ...
Riste Stojanov+12 more
wiley +1 more source