Research
On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

Trend · papers per month

0.5%1.0%1.4%1.9% · Sep 199819922001200920172026
11 results for conductor galloping

Paper proposes an SVM-based framework to predict conductor galloping with high accuracy.

problem Predicting conductor galloping from imbalanced datasets.
method Employed smart sampling techniques (over-sampling) to balance the dataset and improve SVM performance.
result SVM-based framework achieved an F_1-score of 98.9% with only three features.

In this paper, we generalize Magnanini-Sakaguchi's result [MS3] from Euclidean space to spaces of constant curvature. More precisely, we show that if a conductor satisfying the exterior geodesic sphere condition in the space of constant curvature has initial temperature 0 and its boundary is kept at temperature 1 (at a…

2008-07-26abs ↗pdf ↗

Convolutional neural networks predict the analytic rank of elliptic curves accurately.

problem Predicting the analytic rank of elliptic curves over Q.
method Applied one-dimensional convolutional neural networks to Frobenius traces.
result High accuracy predictions for analytic rank across various conductors.

Paper proposes a neural network for estimating brain conductivity without segmentation.

problem Accurate head model generation for personalized TMS with realistic conductivity.
method Convolutional neural network estimating conductivity from MRI data.
result Smooth electric field results similar to conventional methods without segmentation.

The electric capacity of a conductor in the 3-dimensional Euclidean space R3R^3 is defined as a ratio of a given positive charge on the conductor to the value of potential on the surface. This definition of the capacity is independent of the given charge. The capacity of a set as a mathematical notion was defined firs…

2006-08-20abs ↗pdf ↗

We address the problem of influence maximization when the social network is accompanied by diffusion cascades. In prior works, such information is used to compute influence probabilities, which is utilized by stochastic diffusion models in influence maximization. Motivated by the recent criticism on the effectiveness o…

2019-04-18abs ↗pdf ↗

At what level should government or companies support research? This complex multi-faceted question encompasses such qualitative bonus as satisfying natural human curiosity, the quest for knowledge and the impact on education and culture, but one of its most scrutinized component reduces to the assessment of economic pe…

1998-09-27abs ↗pdf ↗