Now showing items 21-40 of 42

    • 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 ...
    • Multiple linear regression model applied to the projection of electricity demand in Colombia 

      García Guiliany, Jesús Enrique; De-La-Hoz-Franco, Emiro; Rodríguez Toscano, Andrés David; De la Hoz Hernández, Juan David; Hernández-Palma, Hugo G. (International Journal of Energy Economics and Policy, 2019-10-10)
      The exigencies as soon as to competitiveness and productivity have influenced in the energetic consumption and the demand of electrical energy in Colombia, reason why at the present time it is of much interest and utility ...
    • Network anomaly classification by support vector classifiers ensemble and non-linear projection techniques 

      De La Hoz, Eduardo; Ortiz, Andrés; Ortega, Julio; De-La-Hoz-Franco, Emiro (Universidad De La Costa, 2013-09-11)
      Network anomaly detection is currently a challenge due to the number of different attacks and the number of potential attackers. Intrusion detection systems aim to detect misuses or network anomalies in order to block ...
    • Network Anomaly Detection with Bayesian Self-Organizing Maps 

      De-La-Hoz-Franco, Emiro; Ortiz García, Andrés; Ortega Lopera, Julio; De la Hoz Correa, Eduardo Miguel; Prieto Espinosa, Carlos Antonio (Corporación Universidad de la Costa, 2013)
      The growth of the Internet and consequently, the number of interconnected computers through a shared medium, has exposed a lot of relevant information to intruders and attackers. Firewalls aim to detect violations to a ...
    • Neural networks as tool to improve the intrusion detection system 

      Esmeral, Ernesto; Mardini, Johan; Salcedo, Dixon; De-La-Hoz-Franco, Emiro; Avendaño, Inirida; Henriquez, Carlos (International Conference on Computer Information Systems and Industrial Management CISIM 2021: Computer Information Systems and Industrial Management, 2021-09-17)
      Nowadays, computer programs affecting computers both locally and network-wide have led to the design and development of different preventive and corrective strategies to remedy computer security problems. This dynamic has ...
    • Normalized gain and least squares to measure of the effectiveness of a physics course 

      Collazos, Carlos A.; Rojas, Alejandra; CASTELLANOS GARCIA, HERMES ERNESTO; Beltrán, Diego F.; Collazos, César A.; Melo, Darío; Ruiz, Iván; Ostos, Iván; Sánchez, Carlos A.; De-La-Hoz-Franco, Emiro; MELÉNDEZ, FARID; Mora Ley, Cesar Eduardo (Lecture Notes in Artificial Intelligence, 2019-06-29)
      We present a quantitative analysis using the concepts of Normalized Gain and Least Squares in a process of Physics Teaching. This paper presents the results of the strategy based in The Construction of Prototypes (TCP) and ...
    • Parkinson disease analysis using supervised and unsupervised techniques 

      Ariza Colpas, Paola Patricia; Morales Ortega, Roberto; Piñeres Melo, Marlon Alberto; De-La-Hoz-Franco, Emiro; Echeverri Ocampo, Isabel Cristina; Salas-Navarro, Katherinne (Universidad de la Costa, 2019-07-19)
      Parkinson’s disease is classified as a disease of neurological origin, which is degenerative and chronic. Currently, the number of people affected by this disease has increased, one in 100 people over 60 years old, although ...
    • Predictive model for the identification of activities of daily living (ADL) in indoor environments using classification techniques based on Machine Learning 

      García-Restrepo, Johanna; Ariza Colpas, Paola Patricia; Oñate-Bowen, Alvaro Agustín; Suarez Brieva, Eydy; Urina-Triana, Miguel; De-La-Hoz-Franco, Emiro; Díaz-Martínez, Jorge Luis; Butt Shariq, Aziz; Molina Estren, Diego (Corporación Universidad de la Costa, 2021)
      AI-based techniques have included countless applications within the engineering field. These range from the automation of important procedures in Industry and companies, to the field of Process Control. Smart Home (SH) ...
    • Predictive variables for agile development merging cloud computing services 

      Aziz Butt, Shariq; Tariq, Muhammad Imran; Jamal, Tauseef; Ali, Arshad; Martínez-Díaz, Jorge; De-La-Hoz-Franco, Emiro (IEEE Access, 2019-08-07)
      Cloud Technology is a most challenging modern area in the field of modern technologies in whichassets(e.g.,CPUandcapacity)canberentedanddischargedbytheclientsthroughinterneton-demand basis. The cloud computing has been ...
    • Real-Time Early Warning System Design For Pluvial Flash Floods—A Review 

      Acosta-Coll, Melisa; Ballester Merelo, Francisco Jose; MARTINEZ-PEIRO, MARCOS; De-La-Hoz-Franco, Emiro (Sensors (Switzerland), 2018-06-10)
      Pluvial flash floods in urban areas are becoming increasingly frequent due to climate change and human actions, negatively impacting the life, work, production and infrastructure of a population. Pluvial flooding occurs ...
    • Resource allocation model for a computer system 

      Sánchez, Joaquín F.; Ospina, Juan P.; COLLAZOS MORALES, CARLOS ANDRES; Avendaño Delgado, Henry Leonardo; De-La-Hoz-Franco, Emiro; Comas Gonzalez, Zhoe; Landero, Vanesa (Corporación Universidad de la Costa, 2019)
      This article describes a simulation for resource allocation. As a particular case, it describes how would be the assignment in an ad hoc network. We present the results of a simulation allocating resources from one system ...
    • SISME, estuarine monitoring system based on IOT and machine learning for the detection of salt wedge in aquifers: case study of the Magdalena river estuary 

      Ariza Colpas, Paola Patricia; Ayala Mantilla, Cristian Eduardo; Shaheen, Qaisar; Piñeres-Melo, Marlon Alberto; Villate-Daza, Diego Andrés; Morales-Ortega, Roberto Cesar; De-La-Hoz-Franco, Emiro; Sanchez Moreno, Hernando; Aziz, Butt Shariq; AFzal, Mehtab (Corporación Universidad de la Costa, 2021-03-29)
      This article contains methods, results, and analysis agreed for the development of an application based on the internet of things and making use of machine learning techniques that serves as a support for the identification ...
    • Talleres de algoritmos y estructura de datos basados en UML 

      De-La-Hoz-Franco, Emiro; De la Hoz Manotas, Alexis Kevin; Hernandez Mercado, Jorge (Corporación Universidad de la Costa, 2008)
      El término algoritmo oravienedel latín dixit alegrithrms cuya raíz a su vez procede del nombre del matemático, astrónomo y geógrafo persa Abu Abdallah Muhammad ibn Músa al-Khwarizmi, comúnmente conocido como Al-Khwarizmi, ...
    • Technology Contribution to Improve Autistic Children Life Quality 

      Comas-González, Zhoe; Sánchez-Comas, Andrés; De-La-Hoz-Franco, Emiro; Synnes, Kåre; Sánchez, Joaquín F.; Collazos-Morales, Carlos (Corporación Universidad de la Costa, 2020)
      To review published literature on the use of technology and how it has improved autistic children life style. A systematic review of the English literature was performed using the PRISMA guideline. Papers indexed in WOS ...
    • The use of computational techniques to improve compliance to reminders within smart environments – Phase 3 

      Neira Rodado, Dionicio; Ortiz, Miguel Angel; Sanchez-Comas, Andres; De-La-Hoz-Franco, Emiro; Mendoza Palechor, Fabio; Mendoza Palechor; Comas Gonzalez, Zhoe; De La Hoz Escorcia, Sandra (Corporación Universidad de la Costa, 2020)
      The aim of REMIND is to create an International and Intersectoral network to facilitate the exchange of staff to progress developments in reminding technologies for persons with dementia that can be deployed in smart ...
    • UJA Human activity recognition multi-occupancy dataset 

      De-La-Hoz-Franco, Emiro; Bernal Monroy, E.R; Ariza Colpas, P; Mendoza Palechor, F; Estevez, M.E. (Proceedings of the 54th Hawaii International Conference on System Sciences, 2021-06)
      Activity Recognition Systems - ARS are proposed to improve the quality of human life. An ARS uses predictive models to identify the activities that individuals are performing in different environments. Under data-driven ...
    • University quality measurement model based on balanced scorecard 

      Obredor Baldovino, Thalía; combita, harold; Crissien Borrero, Tito José; De-La-Hoz-Franco, Emiro; Beltrán, Diego F.; Ruiz, Iván; Sanchez, Joaquin F.; COLLAZOS MORALES, CARLOS ANDRES (Universidad de la Costa, 2019-10-29)
      A Higher Education Institution (HEI) has the responsibility to track the processes through indicators that guarantee the measurement of the results in almost real time. This article presents the design of a management and ...
    • Unsupervised Human Activity Recognition Using the Clustering Approach: A Review 

      Ariza Colpas, Paola Patricia; VICARIO, ENRICO; De-La-Hoz-Franco, Emiro; Pineres-Melo, Marlon; Oviedo Carrascal, Ana Isabel; PATARA, FULVIO (Corporación Universidad de la Costa, 2020)
      Currently, many applications have emerged from the implementation of softwaredevelopment and hardware use, known as the Internet of things. One of the most importantapplication areas of this type ...
    • Using K-Means Algorithm for Description Analysis of Text in RSS News Format 

      De-La-Hoz-Franco, Emiro; Oviedo Carrascal, Ana Isabel; Ariza Colpas, Paola Patricia (Corporación Universidad de la Costa, 2019)
      This article shows the use of different techniques for the extraction of information through text mining. Through this implementation, the performance of each of the techniques in the dataset analysis process can be ...
    • Using text mining tools to define trends in territorial competitiveness indicators 

      Ovallos, David; Puello Pereira, Nataly del Rosario; MELÉNDEZ, FARID; Vélez-Zapata, Jaime; De-La-Hoz-Franco, Emiro; Sánchez, Joaquín F.; Caro Ruiz, Claudia Catalina; Cárdenas, César; COLLAZOS MORALES, CARLOS ANDRES (Universidad de la Costa, 2019)
      For this study, articles from the fields of Social Sciences; Economics; Econometrics and Finance; Business and Management; and Accounting have been monitored for the period from 1979 to 2019. VOSviewer® was used to create, ...