output
19962022
most citedA radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module

174 citations

12 papers

physics.chem-ph2022★ 28 cited

SAMPL9 blind predictions using nonequilibrium alchemical approaches

Piero Procacci, Guido Guarnieri

We present our blind predictions for the Statistical Assessment of the Modeling of Proteins and Ligands (SAMPL), 9th challenge, focusing on binding of WP6 (carboxy-pillar[6]arene)…

cs.CL2020★ 9 cited

An Analysis of Word2Vec for the Italian Language

Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo +3

Word representation is fundamental in NLP tasks, because it is precisely from the coding of semantic closeness between words that it is possible to think of teaching a machine to u…

cs.CL2020★ 20 cited

Intent Classification in Question-Answering Using LSTM Architectures

Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo +2

Question-answering (QA) is certainly the best known and probably also one of the most complex problem within Natural Language Processing (NLP) and artificial intelligence (AI). Sin…

cs.AI2017★ 120 cited

Calibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative Machine Learning approaches

S. De Vito, E. Esposito, M. Salvato +4

Chemical multisensor devices need calibration algorithms to estimate gas concentrations. Their possible adoption as indicative air quality measurements devices poses new challenges…

q-bio.OT2016★ 87 cited

Low pH, high salinity: too much for Microbial Fuel Cells?

Nicole Jannelli, Rosa Anna Nastro, Viviana Cigolotti +2

Twelve single chambered, air-cathode Tubular Microbial Fuel Cells (TMFCs) have been filled up with fruit and vegetable residues. The anodes were realized by means of a carbon fiber…

cs.NE2013★ 174 cited

A radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module

Francesco Bonanno, Giacomo Capizzi, Christian Napoli +2

The design process of photovoltaic (PV) modules can be greatly enhanced by using advanced and accurate models in order to predict accurately their electrical output behavior. The m…