Mostrando ítems 21-40 de 62

    • 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 ...
    • CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making 

      Fernández-García, Antonio Jesús; Preciado, Juan Carlos; Prieto, Álvaro E.; Sánchez-Figueroa, Fernando; Gutiérrez, Juan D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      There are a large number of machine learning algorithms as well as a wide range of libraries and services that allow one to create predictive models. With machine learning and artificial intelligence playing a major role ...
    • 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 ...
    • Data Science Techniques for COVID-19 in Intensive Care Units 

      Muñoz Lezcano, Sergio; López Hernández, Fernando Carlos; Corbi, 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 ...
    • Day-Ahead Price Forecasting for the Spanish Electricity Market 

      Díaz, Julia; Romero, Álvaro; Dorronsoro, José Ramón (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      During the last years, electrical systems around the world and in particular the Spanish electric sector have undergone great changes with the focus of turning them into more liberalized and competitive markets. For this ...
    • Development of a Predictive Model for Induction Success of Labour 

      Pruenza, Cristina; Teurón, María; Lechuga, Luis; Díaz, Julia; González, Ana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      Induction of the labour process is an extraordinarily common procedure used in some pregnancies. Obstetricians face the need to end a pregnancy, for medical reasons usually (maternal or fetal requirements) or less frequently, ...
    • Drug Target Interaction Prediction Using Machine Learning Techniques – A Review 

      Suruliandi, A.; Idhaya, T.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Drug discovery is a key process, given the rising and ubiquitous demand for medication to stay in good shape right through the course of one’s life. Drugs are small molecules that inhibit or activate the function of a ...
    • EEG Signal Analysis of Writing and Typing between Adults with Dyslexia and Normal Controls 

      Perera, Perera, Harshani Harshani; Shiratuddin, Mohd Fairuz; Wong, Kok Wai; Fullarton, Kelly (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      EEG is one of the most useful techniques used to represent behaviours of the brain and helps explore valuable insights through the measurement of brain electrical activity. Hence, plays a vital role in detecting neurological ...
    • ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement 

      Khattak, Muhammad Irfan; Saleem, Nasir; Nawaz, Aamir; Ahmed Almani, Aftab; Umer, Farhana; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Machine learning-based supervised single-channel speech enhancement has achieved considerable research interest over conventional approaches. In this paper, an extended Restricted Boltzmann Machine (RBM) is proposed for ...
    • Extensive Classification of Visual Art Paintings for Enhancing Education System using Hybrid SVM-ANN with Sparse Metric Learning based on Kernel Regression 

      Xu, Fei; Wu, Tong; Huang, Shali; Han, Kuntong; Lin, Wenwen; Wu, Shizhong; CB, Sivaparthipan; Dinesh Jackson, Samuel R (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      In recent decades, the collection of visual art paintings is large, digitized, and available for public uses that are rapidly growing. The development of multi-media systems is needed due to the huge amount of digitized ...
    • 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 ...
    • HDDSS: An Enhanced Heart Disease Decision Support System using RFE-ABGNB Algorithm 

      Dhilsath Fathima, M.; Justin Samuel, S.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Heart disease is the leading cause of mortality globally. Heart disease refers to a range of disorders that affect the heart and blood vessels. The risks of developing heart disease become minimized if heart disease is ...
    • Intelligent Detection and Recovery from Cyberattacks for Small and Medium-Sized Enterprises 

      Lopez, Miguel Angel; Lombardo, Juan Manuel; López, Mabel; Alba, Carmen María; Velasco, Susana; Braojos, Manuel Alonso; Fuentes-García, Marta (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2020)
      Cyberattacks threaten continuously computer security in companies. These attacks evolve everyday, being more and more sophisticated and robust. In addition, they take advantage of security breaches in organizations and ...
    • Learning Models for Semantic Classification of Insufficient Plantar Pressure Images 

      Dey, Nilanjan; Wu, Yao; Wu, Qun; Sherratt, Simon (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...
    • Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics 

      Mahmoud, Karar; Abdel-Nasser, Mohamed; Kashef, Heba; Puig, Domenec; Lehtonen, Matti (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      In the recent years, the penetration of photovoltaics (PV) has obviously been increased in unbalanced power distribution systems. Driven by this trend, comprehensive simulation tools are required to accurately analyze ...
    • Machine Learning Classifier Approach with Gaussian Process, Ensemble boosted Trees, SVM, and Linear Regression for 5G Signal Coverage Mapping 

      Gupta, Akansha; Ghanshala, Kamal; Joshi, R. C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      This article offers a thorough analysis of the machine learning classifiers approaches for the collected Received Signal Strength Indicator (RSSI) samples which can be applied in predicting propagation loss, used for network ...
    • Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review 

      Suárez-Cetrulo, Andrés L.; Quintana, David; Cervantes, Alejandro (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Recent crises, recessions and bubbles have stressed the non-stationary nature and the presence of drastic structural changes in the financial domain. The most recent literature suggests the use of conventional machine ...
    • Machine Learning in Business Intelligence 4.0: Cost Control in a Destination Hotel 

      Sánchez-Torres, Fulgencio; González, Iván; Dobrescu, Cosmin C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Cost control is a recurring problem in companies where studies have provided different solutions. The main objective of this research is to propose and validate an alternative to cost control using data science to support ...
    • Machine-Learning-Based No Show Prediction in Outpatient Visits 

      Mochón, Francisco; Elvira, Carlos; Ochoa, Alberto; Gonzalvez, Juan Carlos (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      A recurring problem in healthcare is the high percentage of patients who miss their appointment, be it a consultation or a hospital test. The present study seeks patient’s behavioural patterns that allow predicting the ...
    • NSL-BP: A Meta Classifier Model Based Prediction of Amazon Product Reviews 

      Kumar, Pravin; Dayal, Mohit; Khari, Manju; Fenza, Giuseppe; Gallo, Mariacristina (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      In machine learning, the product rating prediction based on the semantic analysis of the consumers' reviews is a relevant topic. Amazon is one of the most popular online retailers, with millions of customers purchasing and ...