Mostrando ítems 21-40 de 132

    • AI4AO: The inevitable future to see the stars 

      Ramírez-Trujillo, María de la Cruz (07/2021)
      Se presenta una metodología basada en Aprendizaje Automático para solventar el problema de uso de controladores para la corrección en lazo cerrado en técnicas de Óptica Adaptativa. Se estudian varios modelos para discutir ...
    • Alzheimer Disease Detection Techniques and Methods: A Review 

      Afzal, Sitara; Maqsood, Muazzam; Khan, Umair; Mehmood, Irfan; Nawaz, Hina; Aadil, Farhan; Song, Oh-Young; Yunyoung, Nam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help ...
    • An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis 

      García-Díaz, Vicente; Pascual-Espada, Jordán; González-Crespo, Rubén; Pelayo García-Bustelo, B. Cristina; Cueva Lovelle, Juan Manuel (Applied Soft Computing, 05/2017)
      Social networks link people and machines, providing a huge amount of information that grows very fast without the possibility to be handled manually. Moreover, opinion mining is the process of using natural language ...
    • An Empirical Evaluation of Machine Learning Techniques for Crop Prediction 

      Mariammal, G.; Suruliandi, A.; Raja, S. P.; Poongothai, E. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Agriculture is the primary source driving the economic growth of every country worldwide. Crop prediction, which is critical to agriculture, depends on the soil and environment. Nutrient levels differ from area to area and ...
    • An Evolutionary SVM Model for DDOS Attack Detection in Software Defined Networks 

      Sahoo, Kshira Sagar; Tripathy, Bata Krishna; Naik, Kshirasagar; Ramasubbareddy, Somula; Balusamy, Balamurugan; Khari, Manju; Burgos, Daniel (IEEE ACCESS, 2020)
      Software-Defined Network (SDN) has become a promising network architecture in current days that provide network operators more control over the network infrastructure. The controller, also called as the operating system ...
    • An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction 

      Gupta, Shikha; Chug, Anuradha (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Software Maintainability is an indispensable factor to acclaim for the quality of particular software. It describes the ease to perform several maintenance activities to make a software adaptable to the modified environment. ...
    • Analysis of Classification Algorithms for the Prediction of Purchase Intention in Electronic Commerce 

      Aguirre-Munizaga, Maritza; Del Cioppo Morstadt, Javier; Samaniego-Cobo, Teresa (Communications in Computer and Information Science, 2022)
      The analysis focuses on data from an e-commerce retailer to identify the classification techniques for obtaining the best performances of validated classification algorithms. It is essential to highlight that this type of ...
    • Análisis de sentimiento en procesamiento cuántico del lenguaje natural en un contexto financiero 

      Samper-Quinto, Carlos (01/09/2023)
      La inteligencia artificial es una combinación de algoritmos planteados con el propósito de crear máquinas que presenten las mismas capacidades que el ser humano. Así, el aprendizaje automático es un subconjunto de la ...
    • Un Análisis de Sentimiento en Twitter con Machine Learning: Identificando el sentimiento sobre las ofertas de #BlackFriday 

      Saura, José Ramón; Reyes-Menéndez, Ana; Palos-Sánchez, Pedro R (Espacios, 06/2018)
      Twitter se ha convertido en una red social ideal para el análisis de audiencias y el estudio de opiniones sobre eventos y acontecimientos en tiempo real alrededor del mundo. El objetivo de esta investigación es el de ...
    • Análisis del Sentimiento: Exploración de League of Legends y su comunidad en Twitter 

      Davalos-Miranda, Jose Ricardo (2022)
      En el presente trabajo se realiza una exploración acerca la toxicidad de la comunidad de League of Legends en la red social Twitter. En el estado del arte se observa cómo los autores de distintos estudios implementan ...
    • Applicability domains of neural networks for toxicity prediction 

      Pérez-Santín, Efrén; de-la-Fuente-Valentín, Luis; González García, Marian; Segovia Bravo, Kharla Andreina; López Hernández, Fernando Carlos; López Sánchez, José Ignacio (AIMS Mathematics, 2023)
      In this paper, the term “applicability domain” refers to the range of chemical compounds for which the statistical quantitative structure-activity relationship (QSAR) model can accurately predict their toxicity. This is a ...
    • Artificial intelligence assisted intelligent planning framework for environmental restoration of terrestrial ecosystems 

      Yin, Xinzhe; Li, Jinghua; Nimer Kadry, Seifedine; Sanz Prieto, Iván (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 ; 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; Bermejo-Higuera, Javier; Tébar García, Juan Luis; Sicilia, Juan Antonio; Sánchez Rubio, Manuel (Elsevier Ltd, 2022)
      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 ...