Mostrando ítems 21-40 de 59

    • User Identification and Verification from a Pair of Simultaneous EEG Channels Using Transform Based Features 

      George, Loay; Hadi, Hend (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In this study, the approach of combined features from two simultaneous Electroencephalogram (EEG) channels when a user is performing a certain mental task is discussed to increase the discrimination degree among subject ...
    • Forecasting the Behavior of Gas Furnace Multivariate Time Series Using Ridge Polynomial Based Neural Network Models 

      Waheeb, Waddah; Ghazali, Rozaida (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In this paper, a new application of ridge polynomial based neural network models in multivariate time series forecasting is presented. The existing ridge polynomial based neural network models can be grouped into two groups. ...
    • A Recent Trend in Individual Counting Approach Using Deep Network 

      Ghazvini, Anahita; Abdullah, Siti Norul Huda Sheikh; Ayob, Masri (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In video surveillance scheme, counting individuals is regarded as a crucial task. Of all the individual counting techniques in existence, the regression technique can offer enhanced performance under overcrowded area. ...
    • Detecting Image Brush Editing Using the Discarded Coefficients and Intentions 

      López Hernández, Fernando Carlos; de-la-Fuente-Valentín, Luis; Sarría, Íñigo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      This paper describes a quick and simple method to detect brush editing in JPEG images. The novelty of the proposed method is based on detecting the discarded coefficients during the quantization of the image. Another novelty ...
    • A Novel Approach on Visual Question Answering by Parameter Prediction using Faster Region Based Convolutional Neural Network 

      Jha, Sudan; Dey, Anirban; Kumar, Raghvendra; Kumar-Solanki, Vijender (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Visual Question Answering (VQA) is a stimulating process in the field of Natural Language Processing (NLP) and Computer Vision (CV). In this process machine can find an answer to a natural language question which is related ...
    • Contribution to the Association Rules Visualization for Decision Support: A Combined Use Between Boolean Modeling and the Colored 2D Matrix 

      Atmani, Baghdad; Benhacine, Fatima Zohra; Abdelouhab, Fawzia Zohra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In the present paper we aim to study the visual decision support based on Cellular machine CASI (Cellular Automata for Symbolic Induction). The purpose is to improve the visualization of large sets of association rules, ...
    • A Diversity-Accuracy Measure for Homogenous Ensemble Selection 

      Zouggar, Taleb; Adla, A (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Several selection methods in the literature are essentially based on an evaluation function that determines whether a model M contributes positively to boost the performances of the whole ensemble. In this paper, we propose ...
    • Editor’s Note 

      Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      The International Journal of Interactive Multimedia and Artificial Intelligence - IJIMAI (ISSN 1989 - 1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and ...
    • Sentiment Analysis on IMDb Movie Reviews Using Hybrid Feature Extraction Method 

      Harish, B S; Kumar, Keerthi; Darshan, H K (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Social Networking sites have become popular and common places for sharing wide range of emotions through short texts. These emotions include happiness, sadness, anxiety, fear, etc. Analyzing short texts helps in identifying ...
    • Marketing Intelligence and Big Data: Digital Marketing Techniques on their Way to Becoming Social Engineering Techniques in Marketing 

      Lies, Jan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      This contribution reviews the vast scope of digital application areas, which shape the digital marketing landscape and coin the present term “marketing intelligence” from a marketing technique point of view. Additionally, ...
    • Optimal Performance of Doubly Fed Induction Generator Wind Farm Using Multi-Objective Genetic Algorithm 

      Kamel, Salah; Jurado, Francisco; Elkasem, Ahmed; Rashad, Ahmed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      The main purpose of this paper is allowing doubly fed induction generator wind farms (DFIG), which are connected to power system, to effectively participate in feeding electrical loads. The oscillation in power system is ...
    • Handwritten Arabic Documents Segmentation into Text Lines using Seam Carving 

      Souhar, Abdelghani; Daldali, M (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Inspired from human perception and common text documents characteristics based on readability constraints, an Arabic text line segmentation approach is proposed using seam carving. Taking the gray scale of the image as ...
    • Improved Behavior Monitoring and Classification Using Cues Parameters Extraction from Camera Array Images 

      Jalal, Ahmad; Kamal, Shaharyar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Behavior monitoring and classification is a mechanism used to automatically identify or verify individual based on their human detection, tracking and behavior recognition from video sequences captured by a depth camera. ...
    • Deep Belief Network and Auto-Encoder for Face Classification 

      Bouchra, Nassih; Mohammed, Ngadi; Nabil, Hmina; Aouatif, Amine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we have adopted the representative Deep Learning methods ...
    • Data and Artificial Intelligence Strategy: A Conceptual Enterprise Big Data Cloud Architecture to Enable Market-Oriented Organisations 

      Herrera-Viedma, Enrique; Carrasco, Ramón Alberto; Moreno, Caio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      Market-Oriented companies are committed to understanding both the needs of their customers, and the capabilities and plans of their competitors through the processes of acquiring and evaluating market information in a ...
    • Do Women and Men Perceive User Experience Differently? 

      Schrepp, Martin; chewski, Jörg Thomas; Aufderhaar, Kristina (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      We study three web sites to see whether there are systematic differences between women and men in their rating of the user experience of the sites. One of the sites addresses especially the target group of women, another ...
    • Editor’s Note. Towards an Intelligent Society: Advances in Marketing and Neuroscience 

      Mochón, Francisco; Baldominos Gómez, Alejandro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      This Special Issue focuses in cases that explore the relationship between Artificial Intelligence and marketing, as well as neuroscience. AI can be combined with specific neuroscience techniques to achieve a more successful ...
    • The Promotion of Graduate Programs through Clustering Prospective Students 

      Cantón Croda, Rosa María; Gibaja Romero, Damián Emilio; Castillo-Villar, Fernando-Rey (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      The promotion of academic programs, particularly at graduate levels, emerges as a response to market changes. In general, graduate programs are not a first order necessity which makes necessary the right promotion of such ...
    • Voice Analysis Using PRAAT Software and Classification of User Emotional State 

      Magdin, Martin; Sulka, T; Tomanová, J; Vozár, M (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      During the last decades the field of IT has seen an incredible and very rapid development. This development has shown that it is important not only to shift performance and functional boundaries but also to adapt the way ...
    • MOBEEZE. Natural Interaction Technologies, Virtual Reality and Artificial Intelligence for Gait Disorders Analysis and Rehabilitation in Patients with Parkinson's Disease 

      Lombardo, Juan Manuel; Lopez, Miguel Angel; Miron, Felipe; López, Mabel; León, Mónica; Arambarri, Jon; Álvarez, David (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      Parkinson's Disease (PD) is the most common degenerative disorder after Alzheimer's disease. Generally affecting elderly groups, it has a strong limiting effect on physical functioning and performance of roles, vitality ...