Mostrando ítems 21-40 de 90

    • Artificial intelligence assisted intelligent planning framework for environmental restoration of terrestrial ecosystems 

      Yin, Xinzhe; Li, Jinghua; Nimer Kadry, Seifedine; Sanz Prieto, Iván (1) (Environmental Impact Assessment Review, 01/2021)
      The environmental restoration of terrestrial ecosystems helps to protect the natural world and enhances sustainable land resource development. Modern and efficient approaches for the conservation of ecological functions ...
    • Attesting Digital Discrimination Using Norms 

      Criado, Natalia; Ferrer, Xavier; Such, José M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      More and more decisions are delegated to Machine Learning (ML) and automatic decision systems recently. Despite initial misconceptions considering these systems unbiased and fair, recent cases such as racist algorithms ...
    • Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer- Spatial Convolutional Neural Networks 

      Khattak, Muhammad Irfan; Al-Hasan, Mu’ath; Jan, Atif; Saleem, Nasir; Verdú, Elena; Khurshid, Numan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ...
    • Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer-Spatial Convolutional Neural Networks 

      Khattak, Muhammad Irfan; Al-Hasan, Mu'ath; Jan, Atif; Saleem, Nasir; Verdú, Elena (1); Khurshid, Numan (International Journal of Interactive Multimedia and Artificial Intelligence, 2021)
      The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ...
    • AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud 

      Baldominos Gómez, Alejandro; Saez, Yago; Quintana, David; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Elastic Cloud Compute (EC2) is one of the most well-known services provided by Amazon for provisioning cloud computing resources, also known as instances. Besides the classical on-demand scheme, where users purchase compute ...
    • Big Data and Business Strategy, a Proof of Concept on Toolset Integration 

      Rodríguez-Lago, Odín (09/2019)
      Esta tesis analiza la cobertura en la literatura académica de la integración de las técnicas de Estrategia Empresarial y las técnicas de Big Data. Se analizan también las relaciones existentes entre ambos campos, y se ...
    • Big Data and Health Economics: Opportunities, Challenges and Risks 

      Bodas-Sagi, Diego; Labeaga, José (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Big Data offers opportunities in many fields. Healthcare is not an exception. In this paper we summarize the possibilities of Big Data and Big Data technologies to offer useful information to policy makers. In a world with ...
    • Binary Multi-Verse Optimization (BMVO) Approaches for Feature Selection 

      Hans, Rahul; Kaur, Harjot (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Multi-Verse Optimization (MVO) is one of the newest meta-heuristic optimization algorithms which imitates the theory of Multi-Verse in Physics and resembles the interaction among the various universes. In problem domains ...
    • Building a dataset through attack pattern modeling and analysis system 

      Bermejo Higuera, Juan Ramón (1); Bermejo-Higuera, Javier (1); Tébar García, Juan Luis (1); Sicilia, Juan Antonio (1); Sánchez Rubio, Manuel (1) (Elsevier Ltd, 2021)
      The different types of cyber-attacks on information and telecommunications systems are becoming increasingly sophisticated and complex, with several defined phases (attack pattern). Therefore, it is necessary to research ...
    • Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF–SVM–Based Model 

      García Nieto, Paulino José; García-Gonzalo, Esperanza; Sánchez Lasheras, Fernando; Bernardo Sánchez, Antonio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      The purpose of chromium plating is the creation of a hard and wear-resistant layer of chromium over a metallic surface. The principal feature of chromium plating is its endurance in the face of the wear and corrosion. This ...
    • Clustering aglomerativo para la desambiguación de nombres de autor 

      Padilla-Mesa, Juan Antonio (09/2021)
      La ambigüedad de los nombres de autor en las bases de datos bibliográficas supone un gran problema a la hora de la recuperación de información, la realización de análisis bibliométricos y la visibilidad de la ciencia. Esto ...
    • Clustering analysis for automatic certification of LMS strategies in a university virtual campus 

      Regueras, Luisa M; Verdú, María J; Castro, Juan P de; Verdú, Elena (1) (IEEE Access, 2019)
      In recent years, the use of Learning Management Systems (LMS) has grown considerably. This has had a strong effect on the learning process, particularly in higher education. Most universities incorporate LMS as a complement ...
    • Comparativa de modelos de Machine Learning interpretables para la predicción de riesgo crediticio 

      Ortega-Martín, Sonia (22/07/2021)
      Los sistemas de Inteligencia Artificial son ampliamente utilizados e impactan en la vida diaria de las personas de forma creciente, en gran medida debido al avance en Machine Learning y su alta precisión. Los modelos suelen ...
    • Comparativa de Técnicas de Aprendizaje Automático para Análisis y Predicción de Sequía 

      Andrade-Zeballos, María Angélica (03/2022)
      La sequía es un fenómeno natural complejo, que se constituye en un foco de interés a nivel mundial, sobre todo por las enormes pérdidas económicas y humanas que provoca en las regiones afectadas. Por ésta razón es importante ...
    • Comparativa de técnicas Machine Learning sobre comportamiento de pago de clientes con cuentas por cobrar 

      Pesantez-Chuqui, Martha Cecilia (19/09/2019)
      El presente proyecto tiene como objetivo identificar el algoritmo con mayor exactitud usando una comparativa de técnicas de Machine Learning para detectar el comportamiento de pago de clientes con cuentas por cobrar con ...
    • Comparative Analysis of Building Insurance Prediction Using Some Machine Learning Algorithms 

      Ejiyi, Chukwuebuka Joseph; Qin, Zhen; Salako, Abdulhaq Adetunji; Happy, Monday Nkanta; Nneji, Grace Ugochi; Ukwuoma, Chiagoziem Chima; Chikwendu, Ijeoma Amuche; Gen, Ji (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      In finance and management, insurance is a product that tends to reduce or eliminate in totality or partially the loss caused due to different risks. Various factors affect house insurance claims, some of which contribute ...
    • Connection between sleeping patterns and cognitive deterioration in women with Alzheimer’s disease 

      Corbi, Alberto (1); Burgos, Daniel (1) (Springer Science and Business Media Deutschland GmbH, 2022)
      Background: Alzheimer’s disease (AD) causes symptoms such as dementia, memory loss, disorientation, and even aggressiveness, and is more common in women than in men. AD may also manifest itself in changes in sleep patterns. ...
    • COVID-19 Mortality Risk Prediction Using X-Ray Images 

      Prada, J.; Gala, Y.; Sierra, A. L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The pandemic caused by coronavirus COVID-19 has already had a massive impact in our societies in terms of health, economy, and social distress. One of the most common symptoms caused by COVID-19 are lung problems like ...
    • Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision 

      Fernández-García, Antonio Jesús (1); Rodríguez-Echeverría, Roberta; Preciado, Juan Carlos; Conejero Manzano, José María; Sánchez-Figueroa, Fernando (IEEE Access, 2020)
      Higher Education plays a principal role in the changing and complex world of today, and there has been rapid growth in the scientific literature dedicated to predicting students academic success or risk of dropout thanks ...
    • Data Science Techniques for COVID-19 in Intensive Care Units 

      Muñoz Lezcano, Sergio; López Hernández, Fernando Carlos; Corbi Bellot, Alberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Data scientists aim to provide techniques and tools to the clinicians to manage the new coronavirus disease. Nowadays, new emerging tools based on Artificial Intelligence (AI), Image Processing (IP) and Machine Learning ...