Pinned Repositories
actino-data-collector
This repository stores the code used to capture telemetry data from a custom drone with Cube (Pixhawk2) and LiDAR sensor data from Velodyne VLP16.
dash-rutas-ch
Dash Application for Routing from Schools to Hospitals
dse-project
Proyecto del curso Desarrollo de Soluciones realizado en los laboratorios
food-supply-nanostores
This repo contains the code necessary to simulate and evaluate different nanostores food supply escenarios using VRP+GA to minimize transportation costs.
hospital_vulnerability_index
Assessing a Vulnerability Index to each healthcare service facility in Peru using medical, road network and population density open data as inputs to a Fuzzy Inference System.
market-flp-covid19
FLP Optimization applied to temporal market allocation to cope with overpopulation in traditional markets in Lima, Peru.
traveling-through-stories
traveling-through-stories-app
venezuelan-in-surquillo-food-system
vulnerabilidad-COVID-19
Mapas de Vulnerabilidad COVID-19: Procesamiento & Visualización
IngenieriaUP's Repositories
IngenieriaUP/food-supply-nanostores
This repo contains the code necessary to simulate and evaluate different nanostores food supply escenarios using VRP+GA to minimize transportation costs.
IngenieriaUP/actino-data-collector
This repository stores the code used to capture telemetry data from a custom drone with Cube (Pixhawk2) and LiDAR sensor data from Velodyne VLP16.
IngenieriaUP/dse-project
Proyecto del curso Desarrollo de Soluciones realizado en los laboratorios
IngenieriaUP/hospital_vulnerability_index
Assessing a Vulnerability Index to each healthcare service facility in Peru using medical, road network and population density open data as inputs to a Fuzzy Inference System.
IngenieriaUP/vulnerabilidad-COVID-19
Mapas de Vulnerabilidad COVID-19: Procesamiento & Visualización
IngenieriaUP/CityMatrix_Lima
CityMatrix Project in Lima, Perú
IngenieriaUP/dash-rutas-ch
Dash Application for Routing from Schools to Hospitals
IngenieriaUP/EGENDERIN-EQUALITY-GAP
This research article explains in detail the pre-processing stage unifying various techniques, usingreal and open public data from Peru, between the years 2016-2019. The main objective is to addressthe study of gender inequality through clean and reliable data. This article shows how to group andclean 6 data sets by category to identify and interpret inequality factors, extract valuable informationthat can be used in data mining models, and contribute to future decision making. The pre-processingtechniques were validated using various prediction algorithms and their performances were comparedusing ranking metrics
IngenieriaUP/ImageClfArduino
IngenieriaUP/market-flp-covid19
FLP Optimization applied to temporal market allocation to cope with overpopulation in traditional markets in Lima, Peru.
IngenieriaUP/prep_api
Simple FastAPI interface with a FLP model in PuLP
IngenieriaUP/traveling-through-stories
IngenieriaUP/traveling-through-stories-app
IngenieriaUP/venezuelan-in-surquillo-food-system
IngenieriaUP/wifi_sniffer
Wifi devices sniffer in python
IngenieriaUP/callao-emergency-prep
IngenieriaUP/datathon_2021
Repositorio de datos para la Datathon 2021
IngenieriaUP/disaster-risk-platform
Disaster Risk Plarform for Lima including disaster such as tsunamis, earthquakes and landslides.
IngenieriaUP/pay-fake-api
Mock API for online payment in DSE course.
IngenieriaUP/rpi-object-detection
Object Detection model (Tiny YOLOv3) on webcam capture and send an email with the results.
IngenieriaUP/traveling-through-stories-model
IngenieriaUP/Workshop_IngInformacion
Code for the workshop application to school students