Mostrando ítems 210-229 de 3681

    • An Efficient Fake News Detection System Using Contextualized Embeddings and Recurrent Neural Network 

      Ali Reshi, Junaid; Ali, Rashid (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 02/2023)
      Fake news is detrimental for society and individuals. Since the information dissipation through online media is too quick, an efficient system is needed to detect and counter the propagation of fake news on social media. ...
    • An Efficient Probabilistic Methodology to Evaluate Web Sources as Data Source for Warehousing 

      Sharan Sinha, Hariom; Kumar Choudhary, Saket; Kumar Solanki, Vijender (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Internet is the largest source of data and the requirement of data analytics have fueled the data warehouse to switch from structured conventional Data Warehouse to complex Web Data Warehouse. The dynamic and complex nature ...
    • An Elitist Non-Dominated Multi-Objective Genetic Algorithm Based Temperature Aware Circuit Synthesis 

      Das, Apangshu; Pradhan, Sambhu Nath (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      At sub-nanometre technology, temperature is one of the important design parameters to be taken care of during the target implementation for the circuit for its long term and reliable operation. High device package density ...
    • An Empiric Analysis of Wavelet-Based Feature Extraction on Deep Learning and Machine Learning Algorithms for Arrhythmia Classification 

      Singh, Ritu; Rajpal, Navin; Mehta, Rajesh (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The aberration in human electrocardiogram (ECG) affects cardiovascular events that may lead to arrhythmias. Many automation systems for ECG classification exist, but the ambiguity to wisely employ the in-built feature ...
    • 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 Enhanced Texture-Based Feature Extraction Approach for Classification of Biomedical Images of CT-Scan of Lungs 

      Srivastava, Varun; Gupta, Shilp; Chaudhary, Gopal; Balodi, Arun; Khari, Manju; García-Díaz, Vicente (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Content Based Image Retrieval (CBIR) techniques based on texture have gained a lot of popularity in recent times. In the proposed work, a feature vector is obtained by concatenation of features extracted from local mesh ...
    • An Ensemble Classifier for Stock Trend Prediction Using Sentence-Level Chinese News Sentiment and Technical Indicators 

      Chen, Chun-Hao; Chen, Po-Yeh; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      In the financial market, predicting stock trends based on stock market news is a challenging task, and researchers are devoted to developing forecasting models. From the existing literature, the performance of the forecasting ...
    • An Entrepreneurial Well-being Model based on GEM Data for Spain 

      Saiz-Alvarez, José Manuel; Coduras Martínez, Alicia; Cuervo-Arango Martínez, Carlos (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2014)
      The Economics of Happiness is one of the research areas of greatest growth in recent years. Throughout this work, a venture based model in which satisfaction of Spanish entrepreneurs with their professional life is performed. ...
    • An Event Mesh for Event Driven IoT Applications 

      Berjón, Roberto; Mateos, Montserrat; Beato, M. Encarnación; Fermoso García, Ana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      In IoT contexts, software solutions are required to have components located in different environments: mobile, edge, fog or cloud. To design this type of application, event driven architecture (EDA) is used to develop ...
    • An Evolutionary Approach for Learning Opponent's Deadline and Reserve Points in Multi-Issue Negotiation 

      Ayachi, R; Bouhani, H; Amor, Ben (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      The efficiency of automated multi-issue negotiation depends on the available information about the opponent. In a competitive negotiation environment, agents do not reveal their parameters to their opponents in order to ...
    • An Example in Remote Computing Over the Internet applied to Geometry 

      Ferreira, M.; Casquilho, M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2013)
      Scientific computing over the Internet can suit many activities that have not, in the authors’ opinion, been explored enough in general. Resources such as executables, languages, packages, can be used from a remote computing ...
    • An Experimental Study on Microarray Expression Data from Plants under Salt Stress by using Clustering Methods 

      Fyad, Houda; Barigou, Fatiha; Bouamrane, Karim (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      Current Genome-wide advancements in Gene chips technology provide in the “Omics (genomics, proteomics and transcriptomics) research”, an opportunity to analyze the expression levels of thousand of genes across multiple ...
    • 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 ...