Results 61 to 70 of about 12,979 (182)
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Creep behavior of SS 316 brackets is examined through experiments, conventional creep laws, and advanced constitutive modeling. Long‐term deformation, stress redistribution, and life prediction are compared under service‐relevant loads. The study highlights the limits of classical models and demonstrates improved accuracy using advanced approaches for ...
Mohsin Sattar +7 more
wiley +1 more source
Foundations for Uniform Interpolation and Forgetting in Expressive Description Logics [PDF]
We study uniform interpolation and forgetting in the description logic ALC. Our main results are model-theoretic characterizations of uniform inter- polants and their existence in terms of bisimula- tions, tight complexity bounds for deciding the ...
Lutz, Carsten, Wolter, Frank
core +1 more source
A Novel Approach to Energy Management in Electric Steelworks
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla +12 more
wiley +1 more source
Computing Skinning Weights via Convex Duality
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley +1 more source
NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis
We introduce Neural Point Octrees (NePOs), a scalable radiance field representation that organises point clouds hierarchically for efficient optimisation and rendering of large scale scenes. NePOs enable level of detail selection, joint refinement of appearance and camera poses, and real‐time rendering of hundreds of millions of points.
Noah Lewis +3 more
wiley +1 more source
Peixe Zircon as a Quality Control Reference Material in U‐Pb Geochronology by LA‐ICP‐MS
Key Points Peixe#0 zircon was characterised for U‐Pb geochronology using CA‐ID‐TIMS, SIMS and a long‐term LA‐ICP‐MS data set. The consistent results establish Peixe#0 as a reference material for U‐Pb quality control. Trace element heterogeneity requires careful, CL‐guided spot selection.
Margareth Sugano Navarro +7 more
wiley +1 more source
We show that the equivalence, unambiguity and sequentiality problems are decidable for finitely ambiguous max-plus tree automata.
openaire +2 more sources
Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis
ABSTRACT Aim Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis.
Pedro Felipe de Jesus Freitas +9 more
wiley +1 more source
Oblivious network intrusion detection systems. [PDF]
Sayed MA, Taha M.
europepmc +1 more source

