Introducing Computational Semantics for Natural Language Understanding in Conversational Nutrition Coaches for Healthy Eating [PDF]
Antonio Benítez-Guijarro +3 more
openalex +1 more source
SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta +3 more
wiley +1 more source
A categorical semantics for topological quantum computation
Eric Olive Paquette
openalex +1 more source
Anatomical Progression of Neuropathology in FTLD‐TDP Type C and Linkage to Annexin A11
Objective Frontotemporal lobar degenerations (FTLD)‐TDP type C (TDP‐C) is distinguished from other FTLD‐TDP subtypes by 3 unique features: (1) invariable onset in the anterior temporal lobe (ATL), (2) phosphorylated TDP‐43 (pTDP) neurites in cortex, and (3) colocalization of all pTDP deposits with annexin A11 (ANXA11).
Allegra Kawles +7 more
wiley +1 more source
Semantics vs Syntax vs Computations: Machine Models for Type-2 Polynomial-Time Bounded Functionals
James S. Royer
openalex +1 more source
Between Order and Confusion: Clearing up Structural Misconceptions in Carbon Materials Nomenclature
Despite the versatile use of carbon materials, inconsistent terminology and inadequate characterization – especially regarding graphene structures based on sp2‐hybridized carbon atoms – often cause confusion. This perspective clarifies terms like graphite, graphitic carbon, non‐graphitic carbon, and amorphous carbon by aligning IUPAC definitions with X‐
Chantal Glatthaar +3 more
wiley +1 more source
On the Semantics of Petri Nets: Processes, Unfoldings and Infinite Computations. [PDF]
Vladimiro Sassone
openalex
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley +1 more source
Research on deep learning architecture optimization method for intelligent scheduling of structural space. [PDF]
Ying W, Hui L.
europepmc +1 more source
Top-Down Computation of the Semantics of Weighted Fuzzy Logic Programs
Alexandros Chortaras +2 more
openalex +1 more source

