output
20182025
most citedIdentifying Real Estate Opportunities using Machine Learning

124 citations

Showing 2024Show all

11 papers · 1 filter

quant-ph2024★ 8 cited

The Diósi-Penrose model of classical gravity predicts gravitationally induced entanglement

David Trillo, Miguel Navascués

We show that the dynamics of the Diósi-Penrose (DP) model of classical gravity can entangle the mechanical degrees of freedom of two separate particles. For standard experiments of…

math.NA2024★ 13 cited

Optimizing Variational Physics-Informed Neural Networks Using Least Squares

Carlos Uriarte, Manuela Bastidas, David Pardo +2

Variational Physics-Informed Neural Networks often suffer from poor convergence when using stochastic gradient-descent-based optimizers. By introducing a Least Squares solver for t…

cs.CV2024★ 2 cited

A real-time Artificial Intelligence system for learning Sign Language

Elisa Cabana

A primary challenge for the deaf and hearing-impaired community stems from the communication gap with the hearing society, which can greatly impact their daily lives and result in…

cs.CR2024★ 7 cited

Manipulating hidden-Markov-model inferences by corrupting batch data

William N. Caballero, Jose Manuel Camacho, Tahir Ekin +1

Time-series models typically assume untainted and legitimate streams of data. However, a self-interested adversary may have incentive to corrupt this data, thereby altering a decis…

cond-mat.soft2024

Reducing model complexity by means of the Optimal Scaling: Population Balance Model for latex particles morphology formation

Simone Rusconi, Christina Schenk, Arghir Zarnescu +1

Rational computer-aided design of multiphase polymer materials is vital for rapid progress in many important applications, such as: diagnostic tests, drug delivery, coatings, addit…

cs.LG2024★ 13 cited

Contingency Analysis of a Grid of Connected EVs for Primary Frequency Control of an Industrial Microgrid Using Efficient Control Scheme

J. N. Sabhahit, S. S. Solanke, V. K. Jadoun +3

After over a century of internal combustion engines ruling the transport sector, electric vehicles appear to be on the verge of gaining traction due to a slew of advantages, includ…

math.OC2024★ 3 cited

Market proliferation and the impact of locational complexity on network restructuring

J. M. Pinar-Pérez, D. Ruiz-Hernández, M. B. C. Menezes

This manuscript investigates the problem of locational complexity, a type of complexity that emanates from a companys territorial strategy. Using an entropy-based measure for suppl…

eess.SY2024★ 21 cited

A novel ANROA based control approach for grid-tied multi-functional solar energy conversion system

Dinanath Prasad, Narendra Kumar, Rakhi Sharma +3

An adaptive control approach for a three-phase grid-interfaced solar photovoltaic system based on the new Neuro-Fuzzy Inference System with Rain Optimization Algorithm (ANROA) meth…

cs.LG2024★ 29 cited

Novel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for wind power resource assessment in India

Hasmat Malik, Amit Kumar Yadav, Fausto Pedro García Márquez +1

Wind power generated by wind has non-schedule nature due to stochastic nature of meteorological variable. Hence energy business and control of wind power generation requires predic…

cs.DM2024★ 32 cited

Multi-machine preventative maintenance scheduling with imperfect interventions: a restless bandit approach

Diego Ruiz-Hernandez, Jesús María Pinar-Pérez, David Delgado-Gómez

In this paper we address the problem of allocating the efforts of a collection of repairmen to a number of deteriorating machines in order to reduce operation costs and to mitigate…

cs.GT2024★ 5 cited

A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers

Alberto Pliego Marugán, Fausto Pedro García Márquez, Jesús María Pinar Pérez

Currently, wind energy is one of the most important sources of renewable energy. Offshore locations for wind turbines are increasingly exploited because of their numerous advantage…