output
19992023
most citedHigher Dimensional Wormhole Geometries with Compact Dimensions

66 citations

7 papers

cs.DC2023★ 1 cited

Data Extraction, Transformation, and Loading Process Automation for Algorithmic Trading Machine Learning Modelling and Performance Optimization

Nassi Ebadifard, Ajitesh Parihar, Youry Khmelevsky +3

A data warehouse efficiently prepares data for effective and fast data analysis and modelling using machine learning algorithms. This paper discusses existing solutions for the Dat…

q-fin.TR2023★ 1 cited

Short-Term Stock Price Forecasting using exogenous variables and Machine Learning Algorithms

Albert Wong, Steven Whang, Emilio Sagre +6

Creating accurate predictions in the stock market has always been a significant challenge in finance. With the rise of machine learning as the next level in the forecasting area, t…

stat.AP2022★ 7 cited

Phase Identification of Smart Meters Using a Fourier Series Compression and a Statistical Clustering Algorithm

Jeremy J. Chiu, Albert Wong, James Park +3

Accurate labeling of phase connectivity in electrical distribution systems is important for maintenance and operations but is often erroneous or missing. In this paper, we present…

math.AG2013

The primitive cohomology of the theta divisor of an abelian fivefold

E. Izadi, Cs. Tamas, J. Wang

The primitive cohomology of the theta divisor of a principally polarized abelian variety of dimension is a Hodge structure of level . The Hodge conjecture predicts that it…

gr-qc2002★ 66 cited

Higher Dimensional Wormhole Geometries with Compact Dimensions

A. DeBenedictis, A. Das

This paper studies wormhole solutions to Einstein gravity with an arbitrary number of time dependent compact dimensions and a matter-vacuum boundary. A new gauge is utilized which…

gr-qc2001★ 23 cited

Spherical Gravitating Systems of Arbitrary Dimension

A. Das, A. DeBenedictis

We study spherically symmetric solutions to the Einstein field equations under the assumption that the space-time may possess an arbitrary number of spatial dimensions. The general…

astro-ph1999

Reconstructions of the Strong Gravitational Lenses MS 2137 and MS 1455 Using a Two-Stage Inversion Algorithm

P. Newbury, G. G. Fahlman

We propose a new, two-stage algorithm for inverting strong gravitational lenses. The key to the algorithm is decoupling the effects of lens magnification and intrinsic structure in…