Now showing items 1-20 of 28

    • Analysis of the integration of drift detection methods in learning algorithms for electrical consumption forecasting in smart buildings 

      Mariano-Hernández, Deyslen; Hernández Callejo, Luis; Solís, Martín; Zorita Lamadrid, Angel Luis; Duque-Perez, Oscar; Gonzalez Morales, Luis Gerardo; Santos Garcia, Felix; Jaramillo Duque, Álvaro; Ospino C., Adalberto; Alonso Gómez, Víctor; Bello, Hugo J. (MDPI AGSwitzerland, 2022-05-12)
      Buildings are currently among the largest consumers of electrical energy with considerable increases in CO2 emissions in recent years. Although there have been notable advances in energy efficiency, buildings still have ...
    • Aplicación de técnicas de machine Learning para la detección de fugas en una tubería horizontal que transporta una mezcla de agua y glicerol 

      Gámez De León, Adalberto (Corporación Universidad de la CostaIngeniería Electrónica, 2021)
      During the last decades, the problem of detecting leaks in pipes with the help of software has been much discussed. Timely leak detection prevents water loss and helps prevent economic and environmental catastrophes. It ...
    • Classification, identification, and analysis of events on twitter through data mining 

      Silva, Jesús; Higa, Yuki; Cera Visbal, Juan Manuel; Cabrera, Danelys; Senior Naveda, Alexa; Flores, Yasmin; Pineda Lezama, Omar Bonerge (Corporación Universidad de la Costa, 2021)
      Due to its popularity, Twitter is currently one of the major players in the global network, which has established a new form of communication: the microblogging. Twitter has become an essential media network for the ...
    • Comparison of bioinspired algorithms applied to cancer database 

      Silva, Jesús; Villareal-González, Reynaldo; Varela, Noel; Maco, José; Villón, Martín; Marín–González, Freddy; Pineda Lezama, Omar Bonerge (Corporación Universidad de la Costa, 2021)
      Cancer is not just a disease; it is a set of diseases. Breast cancer is the second most common cancer worldwide after lung cancer, and it represents the most frequent cause of cancer death in women (Thurtle et al. in: PLoS ...
    • Compilation of a social network lexicon for determining the profile of authors 

      Viloria, Amelec; Parra Negrete, Kevin; Conde, Marcial; Pineda Lezama, Omar Bonerge (Corporación Universidad de la Costa, 2020-11-05)
      The use of social networks is steadily increasing worldwide. Hundreds of users daily register in the different existing platforms, therefore, the content extracted from the social networks is fundamental for tasks such as ...
    • Conceptualización del diagnóstico del Dengue desde una perspectiva de la ingeniería y las nuevas tecnologías 

      ARRUBLA HOYOS, WILSON DE JESÚS (Corporación Universidad de la CostaBarranquilla, 2022)
      Introducción— El dengue es una enfermedad tropical transmitida por mosquito que según reportes de la Organización Mundial de la Salud-OMS deja unos 390 millones de personas infectadas cada año, es una de las enfermedades ...
    • Design of a network with VANET sporadic cloud computing applied to traffic accident prevention 

      amelec, viloria; Pineda, Omar; Varela Izquierdo, Noel; Diaz Martínez, Jorge Luis (Corporación Universidad de la CostaRetracted, 2020-07-19)
      The study analyzes the bandwidth available in a segment of route in the VANET network, since this value directly affects sporadic cloud computing. For this purpose, the bandwidth was tested on a highly complex urban scenario, ...
    • Determination of the most relevant features to improve the performance of RF classifier in human activity recognition 

      Jiménez-Gómez, Geovanna; Navarro-Escorcia, Daniela; Neira Rodado, Dionicio; Cleland, Ian (Springer International Publishing, 2021-09-17)
      The impact that neurodegenerative diseases have in our society, have made human activity recognition (HAR) arise as a relevant field of study. The quality of life of people with such conditions, can be significantly improved ...
    • Development of machine learning methods in hybrid energy storage systems in electric vehicles 

      Tzu-Chia, Chen; Alazzawi, Fouad Jameel Ibrahim; Grimaldo Guerrero, John William; Chetthamrongchai, Paitoon; Dorofeev, Aleksei; Aras masood, Ismael; Ahmed, Dr. Alim Al Ayub; Akhmadeev, Ravil; Latipah, Asslia Johar; Abu Al-Rejal, Hussein (Hindawi Publishing CorporationUnited States, 2022)
      The hybrid energy storage systems are a practical tool to solve the issues in single energy storage systems in terms of specific power supply and high specific energy. These systems are especially applicable in electric ...
    • Diabetes diagnostic prediction using vector support machines 

      amelec, viloria; Herazo-Beltrán, Yaneth; Cabrera, Danelys; Bonerge Pineda, Omar (Procedia Computer Science, 2020)
      The most important factors for the diagnosis of diabetes mellitus (DM) are age, body mass index (BMI) and blood glucose concentration. Diagnosis of DM by a doctor is complicated, because several factors are involved in the ...
    • Electrical consumption patterns through machine learning 

      amelec, viloria; Senior Naveda, Alexa; Hernández Palma, Hugo; Niebles Núñez, William; Niebles Nuñez, Leonardo David (Journal of Physics: Conference Series, 2020)
      Electricity distribution companies have been incorporating new technologies that allow them to obtain complete information in real time about their customers´ consumption. Thus, a new concept called "Smart Metering" has ...
    • Engineering of novel fe-based bulk metallic glasses using a machine learning-based approach 

      Tzu-Chia, Chen; Rajiman, Rajiman; Elveny, Marischa; Grimaldo Guerrero, John William; Lawal, Adedoyin Isola; Acwin Dwijendra, Ngakan Ketut; aravindhan, surendar; Danshina, Svetlana; ZHU, Yu (Arabian Journal for Science and Engineering, 2021-07-07)
      A broad range of potential chemical compositions makes difficult design of novel bulk metallic glasses (BMGs) without performing expensive experimentations. To overcome this problem, it is very important to establish ...
    • Herramientas BIM para el análisis de requisitos de la norma de rendimiento para edificaciones en Brasil 

      Lima da Silva, Juliano; Quadrado Mussi, Andréa; Zardo, Paola; Silva , Luisa (Corporación Universidad de la Costa, 2020-10-01)
      En esta conferencia la profesora Andrea Mussi (PhD) junto con algunos integrantes del grupo de Núcleo de Innovación y Tecnología en Arquitectura y Urbanismo, NITAU del IMED, nos expondrán los resultados de su investigación ...
    • Intellectual property in colombian museums: an application of machine learning 

      Lis-Gutiérrez, Jenny-Paola; Zerda Sarmiento, Alvaro; amelec, viloria (Universidad de la Costa, 2019)
      The purpose of this research is to answer the following guiding question: how can the behavior of museum networks in Colombia be predicted with respect to the protection of intellectual property (copyright, confidential ...
    • Machine learning applied to the h index of colombian authors with publications in scopus 

      amelec, viloria; Lis-Gutiérrez, Jenny-Paola; Gaitán-Angulo, Mercedes; Vásquez Stanescu, Carmen Luisa; Crissien Borrero, Tito José (Universidad de la Costa, 2019)
      Our research aims to establish how to predict the H index of Colombian authors with publications in Scopus until 2016. The selection of the date was because, as mentioned earlier, the number of documents indexed per year ...
    • Machine learning approach applied to human activity recognition – an application to the VanKasteren dataset 

      Ariza Colpas, Paola Patricia; Oñate-Bowen, Alvaro Agustín; Suarez-Brieva, Eydy del Carmen; Oviedo Carrascal, Ana Isabel; Urina Triana, Miguel; Piñeres Melo, Marlon Alberto; Butt Shariq, Aziz; COLLAZOS MORALES, CARLOS ANDRES; Ramayo González, Ramón Enrique (Corporación Universidad de la Costa, 2021)
      Reminders are a core component of many assistive technology systems and are aimed specifically at helping people with dementia function more independently by compensating for cognitive deficits. These technologies are often ...
    • A machine learning solution for bed occupancy issue for smart healthcare sector 

      Gochhait, Dr Saikat; De-La-Hoz-Franco, Emiro; Shaheen, Qaisar; Diaz Martinez, Jorge Luis; Piñeres Espitia, Gabriel Dario; MERCADO POLO, DARWIN (Pleiades PublishingUnited States, 2021)
      The health care domain is a culmination and emergence of many other economic sectors that give different services from patient treatment to healing, protective, rehabilitation, and palliative care. The GDP consumes to ...
    • Management system for optimizing public transport networks: GPS record 

      Silva, Jesús; GUERRA ALEMAN, ERICK; Varela Izquierdo, Noel; Pineda, Omar (Corporación Universidad de la CostaRetracted, 2020-07-19)
      As cities continue to grow in size and population, the design of public transport networks becomes complicated, given the wide diversity in the origins and destinations of users [1], as well as the saturation of vehicle ...
    • Modelo predictivo para el reconocimiento de actividades humanas basado en técnicas de Machine Learning y de selección de características 

      Patiño Saucedo, Janns Álvaro (Corporación Universidad de la CostaMaestría en Ingeniería con Énfasis en Sistemas, 2019)
      Ambient assisted living (AAL), focus on generating innovative products and services in order to aid and medical attention to elderly people who suffer from neurodegenerative diseases or a disability. This research area is ...
    • Modelo predictivo para la identificación de actividades de la vida diaria (ADL) en ambientes INDOOR usando técnicas de clasificación basadas en machine Learning 

      García Restrepo, Johanna Karina (Corporación Universidad de la CostaMaestría en Gestión de las Tecnologías de Información y la Comunicación, 2020)
      One of the technological aspects that contribute to improving the quality of life of adults, is precisely the enrichment of physical spaces with sensors, video surveillance equipment and actuators, which favor the performance ...