Mostrando ítems 523-542 de 746

    • Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure 

      Taghezout, Noria; Benkaddour, Fatima Zohra; Ascar, Bouabdellah (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      In spunlace nonwovens industry, the maintenance task is very complex, it requires experts and operators collaboration. In this paper, we propose a new approach integrating an agent- based modelling with case-based reasoning ...
    • Novel Clustering Method Based on K-Medoids and Mobility Metric 

      Hamzaoui, Y; Amnai, M; Choukri, A; Fakhri, Y (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      The structure and constraint of MANETS influence negatively the performance of QoS, moreover the main routing protocols proposed generally operate in flat routing. Hence, this structure gives the bad results of QoS when ...
    • 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 ...
    • O-ODM Framework for Object-Relational Databases 

      Rombaldo Jr, Carlos Alberto; Alves Souza, Solange N; de Souza, Luiz Sergio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2012)
      Object-Relational Databases introduce new features which allow manipulating objects in databases.At present, many DBMS offer resources to manipulate objects in database, but most application developers just map class to ...
    • Object Detection and Tracking using Modified Diamond Search Block Matching Motion Estimation Algorithm 

      Kamble, Shailesh; Thakur, Nileshsingh; Samdurkar, Apurva; Patharkar, Akshay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      Object tracking is one of the main fields within computer vision. Amongst various methods/ approaches for object detection and tracking, the background subtraction approach makes the detection of object easier. To the ...
    • OBOE: an Explainable Text Classification Framework 

      del Águila Escobar, Raúl A.; Suárez-Figueroa, Mari Carmen; Fernández-López, Mariano (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 11/2022)
      Explainable Artificial Intelligence (XAI) has recently gained visibility as one of the main topics of Artificial Intelligence research due to, among others, the need to provide a meaningful justification of the reasons ...
    • Obtaining Anti-Missile Decoy Launch Solution from a Ship Using Machine Learning Techniques 

      Touza, Ramón; Martínez Torres, Javier; Álvarez, María; Roca, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      One of the most dangerous situations a warship may face is a missile attack launched from other ships, aircrafts, submarines or land. In addition, given the current scenario, it is not ruled out that a terrorist group may ...
    • Offline Face Recognition System Based on GaborFisher Descriptors and Hidden Markov Models 

      Elgarrai, Zineb; Elmeslouhi, Othmane; Kardouchi, Mustapha; Allali, Hakim; Selouani, Sid-Ahmed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      This paper presents a new offline face recognition system. The proposed system is built on one dimensional left-to- right Hidden Markov Models (1D-HMMs). Facial image features are extracted using Gabor wavelets. The ...
    • On Improvement of Speech Intelligibility and Quality: A Survey of Unsupervised Single Channel Speech Enhancement Algorithms 

      Saleem, Nasir; Khattak, Muhammad Irfan; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      Many forms of human communication exist; for instance, text and nonverbal based. Speech is, however, the most powerful and dexterous form for the humans. Speech signals enable humans to communicate and this usefulness of ...
    • On the Importance of UX Quality Aspects for Different Product Categories 

      Schrepp, Martin; Kollmorgen, Jessica; Meiners, Anna-Lena; Hinderks, Andreas; Winter, Dominique; Santoso, Harry B.; Thomaschewski, Jörg (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      User experience (UX) is a holistic concept. We conceptualize UX as a set of semantically distinct quality aspects. These quality aspects relate subjectively perceived properties of the user interaction with a product to ...
    • OntoInfoG++: A Knowledge Fusion Semantic Approach for Infographics Recommendation 

      Deepak, Gerard; Vibakar, Adithya; Santhanavijayan, A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      As humans tend to improvise and learn on a constant basis, the need for visualizing and recommending knowledge is increasing. Since the World Wide Web is exploded with a lot of multimedia content and with a growing amount ...
    • Ontology of a scene based on Java 3D architecture 

      Bolívar Barón, Holman; González-Crespo, Rubén; Sanjuán Martínez, Óscar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2009)
      The present article seeks to make an approach to the class hierarchy of a scene built with the architecture Java 3D, to develop an ontology of a scene as from the semantic essential components for the semantic structuring ...
    • Open Data as a key factor for developing expert systems: a perspective from Spain 

      Rodríguez Rojas, Luz Andrea; Cueva Lovelle, Juan Manuel; Tarazona Bermúdez, Giovanny Mauricio; Montenegro, Carlos Enrique (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2013)
      The open data movement is relatively new but very significant, and potentially powerful. The overall intention is to make local, regional and national data available in a form that allows for direct manipulation. This paper ...
    • Operating an Advertising Programmatic Buying Platform: A Case Study 

      Mochón, Francisco; Gonzalvez-Cabañas, J.C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      This paper analyses how new technological developments and the possibilities generated by the internet are shaping the online advertising market. More specifically it focuses on a programmatic advertising case study. The ...
    • OpinAIS: An Artificial Immune System-based Framework for Opinion Mining 

      Baldominos, Alejandro; Luis Mingueza, Nerea; García del Pozo, Mª Cristina (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      This paper proposes the design of an evolutionary algorithm for building classifiers specifically aimed towards performing classification and sentiment analysis over texts. Moreover, it has properties taken from Artificial ...
    • Optimal Parameter Estimation of Solar PV Panel Based on Hybrid Particle Swarm and Grey Wolf Optimization Algorithms 

      Rezk, Hegazy; Arfaoui, Jouda; Gomaa, Mohamed R. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The performance of a solar photovoltaic (PV) panel is examined through determining its internal parameters based on single and double diode models. The environmental conditions such as temperature and the level of radiation ...
    • 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 ...
    • Optimal QoE Scheduling in MPEG-DASH Video Streaming 

      Chang, Shin-Hung; Tsai, Min-Lun; Lee, Meng-Huang; Ho, Jan-Ming (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      DASH is a popular technology for video streaming over the Internet. However, the quality of experience (QoE), a measure of humans’ perceived satisfaction of the quality of these streamed videos, is their subjective opinion, ...
    • Optimal Target-Oriented Knowledge Transportation For Aspect-Based Multimodal Sentiment Analysis 

      Zhang, Linhao; Jin, Li; Xu, Guangluan; Li, Xiaoyu; Sun, Xian; Zhang, Zequn; Zhang, Yanan; Li, Qui (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 02/2024)
      Aspect-based multimodal sentiment analysis under social media scenario aims to identify the sentiment polarities of each aspect term, which are mentioned in a piece of multimodal user-generated content. Previous approaches ...
    • Optimistic Motion Planning Using Recursive Sub- Sampling: A New Approach to Sampling-Based Motion Planning 

      Kenye, Lhilo; Kala, Rahul (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Sampling-based motion planning in the field of robot motion planning has provided an effective approach to finding path for even high dimensional configuration space and with the motivation from the concepts of sampling ...