Mostrando ítems 1-17 de 17

    • Are Instructed Emotional States Suitable for Classification? Demonstration of How They Can Significantly Influence the Classification Result in An Automated Recognition System 

      Magdin, Martin; Prikler, F (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      At the present time, various freely available or commercial solutions are used to classify the subject's emotional state. Classification of the emotional state helps us to understand how the subject feels and what he is ...
    • QoS based Web Service Selection and Multi-Criteria Decision Making Methods 

      Bagga, Pallavi; Hans, Rahul; Joshi, Aarchit (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      With the continuing proliferation of web services offering similar efficacies, around the globe, it has become a challenge for a user to select the best web service. In literature, this challenge is exhibited as a 0-1 ...
    • Biomedical Term Extraction: NLP Techniques in Computational Medicine 

      Redondo, Teófilo; Díaz, Julia; Moreno Sandoval, Antonio; Campillos Llanos, Leonardo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Artificial Intelligence (AI) and its branch Natural Language Processing (NLP) in particular are main contributors to recent advances in classifying documentation and extracting information from assorted fields, Medicine ...
    • Multimodal Generic Framework for Multimedia Documents Adaptation 

      Bahaj, Mohamed; Khallouki, Hajar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Today, people are increasingly capable of creating and sharing documents (which generally are multimedia oriented) via the internet. These multimedia documents can be accessed at anytime and anywhere (city, home, etc.) on ...
    • A Fuzzy Linguistic RFM Model Applied to Campaign Management 

      Herrera-Viedma, Enrique; Carrasco, Ramón Alberto; Blasco, María Francisca; García-Madariaga, Jesús (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      In the literature there are some proposals for integrated schemes for campaign management based on segmentation from the results of the RFM model. RFM is a technique used to analyze customer behavior by means of three ...
    • 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 ...
    • Hybrid Algorithm for Solving the Quadratic Assignment Problem 

      Sayoti, Fatima; Riffi, Mohammed Essaid (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      The Quadratic Assignment Problem (QAP) is a combinatorial optimization problem; it belongs to the class of NP-hard problems. This problem is applied in various fields such as hospital layout, scheduling parallel production ...
    • Driver Fatigue Detection using Mean Intensity, SVM, and SIFT 

      Naz, Saima; Ziauddin, Sheikh; Shahid, Ahmad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Driver fatigue is one of the major causes of accidents. This has increased the need for driver fatigue detection mechanism in the vehicles to reduce human and vehicle loss during accidents. In the proposed scheme, we capture ...
    • A Review of Artificial Intelligence in the Internet of Things 

      González García, Cristian; Núñez-Valdez, Edward; García-Díaz, Vicente; Pelayo G-Bustelo, Cristina; Cueva-Lovelle, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Humankind has the ability of learning new things automatically due to the capacities with which we were born. We simply need to have experiences, read, study… live. For these processes, we are capable of acquiring new ...
    • Evaluation of a Diagnostic Decision Support System for the Triage of Patients in a Hospital Emergency Department 

      Seara, Germán; Mayol, Julio; Nazario Arancibia, JC; Martín Sanchez, FJ; Del rey Mejías, AL; del Gonzalez Castillo, J; Chafer Vilaplana, J; García Briñon, MA; Suárez-Cadenas, MM (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      One of the biggest challenges for the management of the emergency department (ED) is to expedite the management of patients since their arrival for those with low priority pathologies selected by the classification systems, ...
    • PRACTICA. A Virtual Reality Platform for Specialized Training Oriented to Improve the Productivity 

      Lombardo, Juan Manuel; López, Miguel Ángel; Velasco, Susana; García, Vicente; López, Mabel; Cañadas, Rubén; León, Mónica (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      With the proliferation of Virtual reality headset that are emerging into a consumer-oriented market for video games, it will open new possibilities for exploiting the virtual reality (VR). Therefore, the PRACTICA project ...
    • 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 ...
    • Data-Aware Scheduling Strategy for Scientific Workflow Applications in IaaS Cloud Computing 

      Makhlouf, Sid Ahmed; Yagoubi, Belabbas (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Scientific workflows benefit from the cloud computing paradigm, which offers access to virtual resources provisioned on pay-as-you-go and on-demand basis. Minimizing resources costs to meet user’s budget is very important ...
    • Multilevel Thresholding for Image Segmentation Using an Improved Electromagnetism Optimization Algorithm 

      Hemeida, Ashraf; Mansour, Radwa; Hussein, M E (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Image segmentation is considered one of the most important tasks in image processing, which has several applications in different areas such as; industry agriculture, medicine, etc. In this paper, we develop the electromagnetic ...
    • Two Hand Gesture Based 3D Navigation in Virtual Environments 

      Rehman, I; Ullah, S; Raees, M (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Natural interaction is gaining popularity due to its simple, attractive, and realistic nature, which realizes direct Human Computer Interaction (HCI). In this paper, we presented a novel two hand gesture based interaction ...
    • Topic Models and Fusion Methods: a Union to Improve Text Clustering and Cluster Labeling 

      Pourvali, Mohsen; Orlando, Salvatore; Omidvarborna, Hosna (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Topic modeling algorithms are statistical methods that aim to discover the topics running through the text documents. Using topic models in machine learning and text mining is popular due to its applicability in inferring ...
    • Editor’s Note 

      Mochón, Francisco (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      This special issue has been designed with the primary objective of demonstrating the diversity of fields where AI is used and, consequently, how it is gaining increasing importance as a tool for analysis and research. In ...