Mostrando ítems 1-11 de 11

    • A Spatio-Temporal Attention Graph Convolutional Networks for Sea Surface Temperature Prediction 

      Chen, Desheng; Wen, Jiabao; Lv, Caiyun (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Sea surface temperature (SST) is an important index to detect ocean changes, predict SST anomalies, and prevent natural disasters caused by abnormal changes, dynamic variation of which have a profound impact on the whole ...
    • An Improved Deep Learning Model for Electricity Price Forecasting 

      Iqbal, Rashed; Mokhlis, Hazlie; Mohd Khairuddin, Anis Salwa; Azam Muhammad, Munir (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Accurate electricity price forecasting (EPF) is important for the purpose of bidding strategies and minimizing the risk for market participants in the competitive electricity market. Besides that, EPF becomes critically ...
    • Análisis económico financiero: Neinor Homes 

      Pereda-Pérez, Paula (22/02/2023)
      El presente trabajo tiene como objetivo elaborar un análisis económico y financiero actual y previsional de Neinor Homes que sirva de herramienta para proyectar el futuro próximo de la empresa, líder en el mercado de ...
    • Artificial Canaries: Early Warning Signs for Anticipatory and Democratic Governance of AI 

      Zoe Cremer, Carla; Whittlestone, Jess (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2021)
      We propose a method for identifying early warning signs of transformative progress in artificial intelligence (AI), and discuss how these can support the anticipatory and democratic governance of AI. We call these early ...
    • 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 ...
    • 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 ...
    • Finding an accurate early forecasting model from small dataset: A case of 2019-nCoV novel coronavirus outbreak 

      Fong, Simon James; Li, Gloria; Dey, Nilanjan; González-Crespo, Rubén ; Herrera-Viedma, Enrique (International Journal of Interactive Multimedia and Artificial Intelligence, 03/2020)
      Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ...
    • Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak 

      González-Crespo, Rubén; Herrera-Viedma, Enrique; Dey, Nilanjan; Fong, Simon James; Li, Gloria (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ...
    • Renewable Energy Predictions: Worldwide Research Trends and Future Perspective 

      Salmerón-Manzano, Esther; Alcayde, Alfredo; Manzano-Agugliaro, Francisco (Lecture Notes in Electrical Engineering, 2023)
      The objective of this chapter is to have a global perspective of the research related to renewable energy predictions and thus determine the worldwide research trends in this field. For this purpose, all the publications ...
    • Sales Prediction through Neural Networks for a Small Dataset 

      Cantón Croda, Rosa María; Gibaja Romero, Damián Emilio; Caballero Morales, Santiago Omar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Sales forecasting allows firms to plan their production outputs, which contributes to optimizing firms' inventory management via a cost reduction. However, not all firms have the same capacity to store all the necessary ...
    • Workforce Optimization for Bank Operation Centers: A Machine Learning Approach 

      Serengil, Sefik Ilkin; Ozpinar, Alper (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      Online Banking Systems evolved and improved in recent years with the use of mobile and online technologies, performing money transfer transactions on these channels can be done without delay and human interaction, however ...