Results 121 to 130 of about 39,214 (275)
Agents' Behavior and Interest Rate Model Optimization in DeFi Lending
ABSTRACT Contrasting sharply with traditional money, bond, and bond futures markets, where interest rates emerge organically from participant interactions, DeFi lending platforms employ rule‐based interest rates that are algorithmically set. Thus, the selection of an effective interest rate model (IRM) is paramount for the success of a lending protocol.
Charles Bertucci +4 more
wiley +1 more source
Δ1: An Automated Theorem Generator
This paper introduces Δ1, a novel automated theorem generator for propositional and first-order logic that operates without a traditional built-in theorem prover.
Yang Xu +3 more
doaj +1 more source
Searching for fixed point combinators by using automated theorem proving: A preliminary report
L. Wos, William McCune
openalex +2 more sources
ABSTRACT Modelling the evolution of Alzheimer's disease (AD) requires a thorough spatiotemporal study of longitudinal neuroimaging data. We propose in this paper a novel deep learning framework that uses a parallel combination of Recurrent Neural Networks (RNNs) and Vision Transformers (ViT) to extract temporal disease dynamics and spatial structural ...
Sahbi Bahroun, Gwanggil Jeon
wiley +1 more source
ABSTRACT Objectives This research jointly combines voters. biometric facial expression analysis while viewing images of candidates and party logos with traditional surveys to define and quantify novel indicators of affective voting. The paper explains the innovative methodology and analyzes the results of the experiment carried out before the 2023 ...
Francisco Javier Otamendi +3 more
wiley +1 more source
Data‐Driven Stabilization of Linear Discrete‐Time Delay Systems With Noisy Data
ABSTRACT This paper is concerned with the stabilization of linear discrete‐time delay systems with unknown system matrices. The objective is to design stabilizing controllers using input and state measurements collected from experiments, which are affected by process disturbances.
Xian‐Ming Zhang +3 more
wiley +1 more source
Peano: learning formal mathematical reasoning. [PDF]
Poesia G, Goodman ND.
europepmc +1 more source
Abstract Targeting the issues of insufficient predictive ability and inefficient computation in two‐dimensional shallow water equations (2D‐SWEs), this study deeply couples the mesh and hydrodynamic boundary, constructing multiple 2D hydrodynamic models (run 2,640 times).
Hong Chen +4 more
wiley +1 more source
Discussion of ‘Robust distance covariance’ by S. Leyder, J. Raymaekers and P. J. Rousseeuw
International Statistical Review, EarlyView.
Hallin Marc +3 more
wiley +1 more source

