Camilo Pardo-Beainy

Pontificia Universidad Javeriana

H-index: 4

Latin America-Colombia

About Camilo Pardo-Beainy

Camilo Pardo-Beainy, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Pontificia Universidad Javeriana, specializes in the field of Computer Vision, Machine Vision, Digital Signal Processing, Sensing Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

A plum selection system that uses a multi-class Convolutional Neural Network (CNN)

Prediction of the environmental precipitation phenomenon in Aquitania

Sistema de mapa de profundidad enfocado en determinación de distancias

Simulación de un sistema electrocardiográfico para la detección de patologías cardíacas

Computer vision and file transfer protocol to identify and transmit evolutionary curves of PM10

Instrumento para el aprendizaje del movimiento armónico simple

Plum selection system using computer vision

Camilo Pardo-Beainy Information

University	Pontificia Universidad Javeriana
Position	Professor of Engineering Universidad Santo Tomás and PhD Student
Citations(all)	46
Citations(since 2020)	31
Cited By	27
hIndex(all)	4
hIndex(since 2020)	4
i10Index(all)	1
i10Index(since 2020)	0
Email	Access Email
University Profile Page	Pontificia Universidad Javeriana
Google Scholar	View Google Scholar Profile

Camilo Pardo-Beainy Skills & Research Interests

Computer Vision

Machine Vision

Digital Signal Processing

Sensing Systems

Top articles of Camilo Pardo-Beainy

Title	Journal	Author(s)	Publication Date
A plum selection system that uses a multi-class Convolutional Neural Network (CNN)	Journal of Agriculture and Food Research	Yesid Fonseca Cristian Bautista Camilo Pardo-Beainy Carlos Parra	2023/12/1
Prediction of the environmental precipitation phenomenon in Aquitania	Revista Colombiana de Tecnologías de Avanzada	Viviana M Bernal Benítez Juan C Gómez Malagón Camilo Ernesto Pardo Beainy	2023
Sistema de mapa de profundidad enfocado en determinación de distancias	REVISTA COLOMBIANA DE TECNOLOGIAS DE AVANZADA (RCTA)	Camilo Pardo-Beainy Edgar Gutiérrez-Cáceres	2022/9/16
Simulación de un sistema electrocardiográfico para la detección de patologías cardíacas	REVISTA COLOMBIANA DE TECNOLOGIAS DE AVANZADA (RCTA)	Camilo Pardo Beainy Angie Aponte Sanguino Angela Pacheco Aponte Iván Porras Piñeres	2022/7/18
Computer vision and file transfer protocol to identify and transmit evolutionary curves of PM10	South Florida Journal of Development	Viviana Bernal-Benítez Juan Gómez-Malagón Camilo Pardo-Beainy	2021/5/31
Instrumento para el aprendizaje del movimiento armónico simple	South Florida Journal of Development	Camilo Ernesto Pardo Beainy Edgar Andres Gutierrez Caceres Luis Fredy Sosa Quintero Tania Carolina Barrera Molina Oscar Fernando Camargo Amezquita	2021/5/5
Plum selection system using computer vision		Cristian Javier Bautista Yesid Aldemar Fonseca Camilo Pardo-Beainy	2020/10/13