Listar vol. 8, nº 2, june 2023 tipo 

Listar vol. 8, nº 2, june 2023 por tipo "article"

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    • A Comparative Evaluation of Bayesian Networks Structure Learning Using Falcon Optimization Algorithm 

      Qasim Awla, Hoshang; Wahhab Kareem, Shahab; Salih Mohammed, Amin (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Bayesian networks are analytical models that may represent probabilistic dependent connections among variables and are useful in machine learning for generating knowledge structure. Due to the vastness of the solution ...

    • A Greedy Randomized Adaptive Search With Probabilistic Learning for solving the Uncapacitated Plant Cycle Location Problem 

      López-Plata, Israel; Expósito-Izquierdo, Christopher; Lalla-Ruiz, Eduardo; Melián-Batista, Belén; Moreno-Vega, J. Marcos (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      In this paper, we address the Uncapacitated Plant Cycle Location Problem. It is a location-routing problem aimed at determining a subset of locations to set up plants dedicated to serving customers. We propose a mathematical ...

    • A Hybrid Parallel Classification Model for the Diagnosis of Chronic Kidney Disease 

      Singh, Vijendra; Jain, Divya (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Chronic Kidney Disease (CKD) has become a prevalent disease nowadays, affecting people globally around the world. Accurate prediction of CKD progression over time is essential for reducing its associated mortality and ...

    • A Hybrid Secure Cloud Platform Maintenance Based on Improved Attribute-Based Encryption Strategies 

      Kumar, Abhishek; Kumar, Swarn Avinash; Dutt, Vishal; Dubey, A. K.; Narang, Sushil (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      In the modern era, Cloud Platforms are the most needed port to maintain documents remotely with proper security norms. The concept of cloud environments is similar to the network channel. Still, the Cloud is considered the ...

    • Adaptation of Applications to Compare Development Frameworks in Deep Learning for Decentralized Android Applications 

      Sainz-de-Abajo, Beatriz; Laso, Sergio; Garcia-Alonso, Jose (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Not all frameworks used in machine learning and deep learning integrate with Android, which requires some prerequisites. The primary objective of this paper is to present the results of the analysis and a comparison of ...

    • Cosine Similarity Based Hierarchical Skeleton and Cross Indexing for Large Scale Image Retrieval Using Mapreduce Framework 

      Qianwen, Zhong (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The imaging data in various fields like industries, institutions, medical, and so on has grown exponentially in recent years. An innovative software solution is required for the efficient management of image data. The ...

    • Deep Learning Assisted Medical Insurance Data Analytics With Multimedia System 

      Zhang, Cheng; Vinodhini, B.; Muthu, Bala Anand (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Big Data presents considerable challenges to deep learning for transforming complex, high-dimensional, and heterogeneous biomedical data into health care data. Various kinds of data are analyzed in recent biomedical research ...

    • Development of a Shared UX Vision Based on UX Factors Ascertained Through Attribution 

      Winter, Dominique; Hausmann, Carolin; Hinderks, Andreas; Thomaschewski, Jörg (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      User experience (UX) is an important quality in differentiating products. For a product team, it is a challenge to develop a good positive user experience. A common UX vision for the product team supports the team in making ...

    • Digit Recognition Using Composite Features With Decision Tree Strategy 

      Chen, Chung-Hsing; Huang, Ko-Wei (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      At present, check transactions are one of the most common forms of money transfer in the market. The information for check exchange is printed using magnetic ink character recognition (MICR), widely used in the banking ...

    • Editor’s Note 

      Gaona-García, Paulo Alonso (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Artificial Intelligence (AI) represents one of the fastest growing areas of knowledge, sectors and fields of action globally. This growth has allowed to mark different positions, where the most favorable ones are oriented ...

    • Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case 

      Zhou, Jiaming; Li, Tengyue; Fong, Simon James; Dey, Nilanjan; González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Artificial intelligence (AI) has shown its effectiveness in helping clinical users meet evolving challenges. Recently, ChatGPT, a newly launched AI chatbot with exceptional text comprehension capabilities, has triggered a ...

    • HDDSS: An Enhanced Heart Disease Decision Support System using RFE-ABGNB Algorithm 

      Dhilsath Fathima, M.; Justin Samuel, S.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Heart disease is the leading cause of mortality globally. Heart disease refers to a range of disorders that affect the heart and blood vessels. The risks of developing heart disease become minimized if heart disease is ...

    • Local Model-Agnostic Explanations for Black-box Recommender Systems Using Interaction Graphs and Link Prediction Techniques 

      Caro-Martínez, Marta; Jiménez-Díaz, Guillermo; Recio-García, Juan A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Explanations in recommender systems are a requirement to improve users’ trust and experience. Traditionally, explanations in recommender systems are derived from their internal data regarding ratings, item features, and ...

    • Mapping the Situation of Educational Technologies in the Spanish University System Using Social Network Analysis and Visualization 

      Vargas Quesada, B.; Zarco, Carmen; Cordón, Oscar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Educational Technologies (EdTech) are based on the use of Information and Communication Technologies (ICT) to improve the quality of teaching and learning. EdTech is experiencing great development at different educational ...

    • Multi-Agent and Fuzzy Inference-Based Framework for Traffic Light Optimization 

      Ikidid, Abdelouafi; Abdelaziz, El Fazziki; Sadgal, Mohammed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Despite the fact that agent technologies have widely gained popularity in distributed systems, their potential for advanced management of vehicle traffic has not been sufficiently explored. This paper presents a traffic ...

    • 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 ...

    • Real World Anomalous Scene Detection and Classification using Multilayer Deep Neural Networks 

      Jan, Atif; Khan, Gul Muhammad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Surveillance videos record malicious events in a locality utilizing various machine learning algorithms for detection. Deep-learning algorithms being the most prominent AI algorithms are data-hungry as well as computationally ...

    • ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features 

      Rajinikanth, Venkatesan; Kadry, Seifedine; Moreno-Ger, Pablo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The lung is a vital organ in human physiology and disease in lung causes various health issues. The acute disease in lung is a medical emergency and hence several methods are developed and implemented to detect the lung ...

    • Resource and Process Management With a Decision Model Based on Fuzzy Logic 

      Fornerón Martínez, J. T.; Agostini, F.; la Red, David L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The allocation of the resources to be shared in the context of a distributed processing system needs to be coordinated through the mutual exclusion mechanism, which will decide the order in which the shared resources will ...