Mostrando ítems 223-242 de 3696

    • 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. ...
    • An Extensive Evaluation of Portfolio Approaches for Constraint Satisfaction Problems 

      Amadini, Roberto; Gabbrielli, Maurizio; Mauro, Jacopo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      In the context of Constraint Programming, a portfolio approach exploits the complementary strengths of a portfolio of different constraint solvers. The goal is to predict and run the best solver(s) of the portfolio for ...
    • An Extreme Learning Machine-Relevance Feedback Framework for Enhancing the Accuracy of a Hybrid Image Retrieval System 

      Shikha, B; Gitanjali, P; Kumar, D. Pawan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      The process of searching, indexing and retrieving images from a massive database is a challenging task and the solution to these problems is an efficient image retrieval system. In this paper, a unique hybrid Content-based ...
    • An impossible dream?: comprehensive principles and the politics of inequality in british education 

      Carr, Wilfred; Quicke, John (Revista Española de Pedagogía, 09/1990)
      El objetivo de este artículo se centra en la evolución que ha ido experimentando el principio de escuela comprensiva en la educación secundaria británica. Los autores ponen de relieve cómo durante los años 60 y 70 este ...
    • An Improved Artificial Intelligence Based on Gray Wolf Optimization and Cultural Algorithm to Predict Demand for Dairy Products: A Case Study 

      Goli, Alireza; Zare, Hassan Khademi; Tavakkoli-Moghaddam, Reza; Sadeghieh, Ahmad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      This paper provides an integrated framework based on statistical tests, time series neural network and improved multi-layer perceptron neural network (MLP) with novel meta-heuristic algorithms in order to obtain best ...
    • 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 ...
    • An Integrated Learning Analytics Approach for Virtual Vocational Training Centers 

      Klamma, Ralf; Lange, de Peter; Neumann, Alexander Tobias; Nicolaescu, Petru (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2018)
      Virtual training centers are hosted solutions for the implementation of training courses in the form of e.g. Webinars. Many existing centers neglect the informal and social dimension of vocational training as well as the ...
    • An Intelligent Technique for Grape Fanleaf Virus Detection 

      Mohammadpoor, Mojtaba; Nooghabi, Mohadese Gerami; Ahmedi, Zahra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Grapevine Fanleaf Virus (GFLV) is one of the most important viral diseases of grapes, which can damage up to 85% of the crop, if not treated at the right time. The aim of this study is to identify infected leaves with GFLV ...
    • An Investigation Into Different Text Representations to Train an Artificial Immune Network for Clustering Texts 

      Ferraria, Matheus A.; Ferraria, Vinicius A.; de Castro, Leandro N. (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Extracting knowledge from text data is a complex task that is usually performed by first structuring the texts and then applying machine learning algorithms, or by using specific deep architectures capable of dealing ...
    • An IoT Based Predictive Connected Car Maintenance Approach 

      Solanki, Vijender Kumar; Dhall, Rohit (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2017)
      Internet of Things (IoT) is fast emerging and becoming an almost basic necessity in general life. The concepts of using technology in our daily life is not new, but with the advancements in technology, the impact of ...
    • Analfabetismo y nivel de vida 

      Fernández Ferré, Rosendo (Revista Española de Pedagogía, 07/1954)
      El analfabetismo es una de las mayores lacras sociales, pues significa la existencia de seres defectuosos, con un desarrollo intelectual incompleto, que no les permite alcanzan: el tipo medio que corresponde al hombre ...
    • Analfabetismo.-El problema estadístico 

      Ferrer Martín, Sebastián (Revista Española de Pedagogía, 01/1954)
      Las estadísticas relativas a analfabetismo se consiguen directamente por medio de los censos de población o por medio de estimaciones obtenidas de muestras de esta población, y por métodos indirectos. En todos los casos, ...
    • Analysis of Bullying in Cooperative Multi-agent Systems’ Communications 

      Gutiérrez, Celia (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2013)
      Cooperative Multi-agent Systems frameworks do not include modules to test communications yet. The proposed framework incorporates robust analysis tools using IDKAnalysis2.0 to evaluate bullying effect in communications. ...
    • Analysis of Gait Pattern to Recognize the Human Activities 

      Prakash Gupta, Jay; Dixit, Pushkar; Singh, Nishant; Bhaskar Aemwal, Vijay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2014)
      Human activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such as visual surveillance, human computer ...
    • Analysis of Gender Differences in Facial Expression Recognition Based on Deep Learning Using Explainable Artificial Intelligence 

      Manresa-Yee, Cristina; Ramis, Silvia; Buades, José M. (International Journal of Interactive Multimedia and Artificial Intelligence, 04/2023)
      Potential uses of automated Facial Expression Recognition (FER) cover a wide range of applications such as customer behavior analysis, healthcare applications or providing personalized services. Data for machine learning ...
    • Analysis of Log File Data to Understand Mobile Service Context and Usage Patterns 

      Klein, Bernhard; Pretel, Ivan; Vanhecke, Sacha; Lago, Ana B.; Lopez-de-Ipiña, Diego (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2013)
      Several mobile acceptance models exist today that focus on user interface handling and usage frequency evaluation. Since mobile applications reach much deeper into everyday life, it is however important to better consider ...
    • Analysis of Security Mechanisms Based on Clusters IoT Environments 

      Montenegro-Marin, Carlos Enrique; Gaona-García, Paulo Alonso; Prieto, Juan David; Nieto Acevedo, Yuri Vanessa (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2017)
      Internet of things is based on sensors, communication networks and intelligence that manages the entire process and the generated data. Sensors are the senses of systems, because of this, they can be used in large quantities. ...
    • Analyzing the EEG Signals in Order to Estimate the Depth of Anesthesia using Wavelet and Fuzzy Neural Networks 

      Esmaeilpour, Mansour; Mohammadi, Ali Reis Ali (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      Estimating depth of Anesthesia in patients with the objective to administer the right dosage of drug has always attracted the attention of specialists. To study Anesthesia, researchers analyze brain waves since this is the ...
    • Análisis bibliométrico de la producción científica en Educación Musical en España 

      Morales, Ángela; Ortega, Enrique; Conesa, Elena; Ruiz-Esteban, Cecilia (Revista Española de Pedagogía, 09/2017)
      Este trabajo tiene por objeto analizar las tendencias de la investigación realizada en España en Educación Musical a través de los 143 artículos publicados entre los años 2000 al 2015, a través de un análisis bibliométrico ...
    • Análisis comparativo de diferentes sistemas de calificación de ítems de opción múltiple 

      López Rupérez, Francisco; Brincones Calvo, Isabel; Toves Arguello, M. Dolores; Garrote Flores, Ricardo (Revista Española de Pedagogía, 04/1982)
      El presente trabajo constituye, en esencia, un análisis comparativo de diferentes sistemas de calificación de ítems de opción múltiple sobre la base de los resultados, obtenidos al aplicar una prueba cuya validación se ...