Listar 2021 fecha de publicación 

Listar 2021 por fecha de publicación

Mostrando ítems 61-80 de 83

    • Performance and Convergence Analysis of Modified C-Means Using Jeffreys-Divergence for Clustering 

      Seal, Ayan; Karlekar, Aditya; Krejcar, Ondrej; Herrera-Viedma, Enrique (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The size of data that we generate every day across the globe is undoubtedly astonishing due to the growth of the Internet of Things. So, it is a common practice to unravel important hidden facts and understand the massive ...

    • A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation 

      Amador-Domínguez, Elvira; Serrano, Emilio; Manrique, Daniel; Bajo, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Case-Based Reasoning models are one of the most used reasoning paradigms in expert-knowledge-driven areas. One of the most prominent fields of use of these systems is the medical sector, where explainable models are required. ...

    • Using Grip Strength as a Cardiovascular Risk Indicator Based on Hybrid Algorithms 

      Bareño-Castellanos, E.F.; Gaona-García, Paulo Alonso; Ortiz-Guzmán, J.E.; Montenegro-Marin, Carlos Enrique (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      This article shows the application and design of a hybrid algorithm capable of classifying people into risk groups using data such as prehensile strength, body mass index and percentage of fat. The implementation was done ...

    • Eye-Tracking Signals Based Affective Classification Employing Deep Gradient Convolutional Neural Networks 

      Li, Yuanfeng; Deng, Jiangang; Wu, Qun; Wang, Ying (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Utilizing biomedical signals as a basis to calculate the human affective states is an essential issue of affective computing (AC). With the in-depth research on affective signals, the combination of multi-model cognition ...

    • Deep Feature Representation and Similarity Matrix based Noise Label Refinement Method for Efficient Face Annotation 

      Suruliandi, A.; Kasthuri, A.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Face annotation is a naming procedure that assigns the correct name to a person emerging from an image. Faces that are manually annotated by people in online applications include incorrect labels, giving rise to the issue ...

    • Neighborhood Structure-Based Model for Multilingual Arbitrarily-Oriented Text Localization in Images/Videos 

      Basavaraju, H.T. H.T.; Manjunath Aradhya, V.N.; Guru, D.S. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The text matter in an image or a video provides more important clue and semantic information of the particular event in the actual situation. Text localization task stands an interesting and challenging research-oriented ...

    • Audio-Visual Automatic Speech Recognition Using PZM, MFCC and Statistical Analysis 

      Debnath, Saswati; Roy, Pinki (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Audio-Visual Automatic Speech Recognition (AV-ASR) has become the most promising research area when the audio signal gets corrupted by noise. The main objective of this paper is to select the important and discriminative ...

    • Towards a Solution to Create, Test and Publish Mixed Reality Experiences for Occupational Safety and Health Learning: Training-MR 

      Lopez, Miguel Angel; Terrón, Sara; Lombardo, Juan Manuel; González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Artificial intelligence, Internet of Things, Human Augmentation, virtual reality, or mixed reality have been rapidly implemented in Industry 4.0, as they improve the productivity of workers. This productivity improvement ...

    • Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms 

      Verma, Kamal Kant; Singh, Brij Mohan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ...

    • Acoustic Classification of Mosquitoes using Convolutional Neural Networks Combined with Activity Circadian Rhythm Information 

      Kim, Jaehoon; Oh, Jeongkyu; Heo, Tae-Young (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Many researchers have used sound sensors to record audio data from insects, and used these data as inputs of machine learning algorithms to classify insect species. In image classification, the convolutional neural network ...

    • Design of a Virtual Assistant to Improve Interaction Between the Audience and the Presenter 

      Cobos-Guzman, S.; Nuere, S.; De Miguel, L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      This article presents a novel design of a Virtual Assistant as part of a human-machine interaction system to improve communication between the presenter and the audience that can be used in education or general presentations ...

    • Feasibility and Acceptability of a Mobile-Based Emotion Recognition Approach for Bipolar Disorder 

      Daus, H.; Backenstrass, M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Over the past years, the mobile Health approach has motivated research projects to develop mood monitoring systems for bipolar disorder. Whereas mobile-based approaches have examined self-assessment or sensor data, so far, ...

    • Extensive Classification of Visual Art Paintings for Enhancing Education System using Hybrid SVM-ANN with Sparse Metric Learning based on Kernel Regression 

      Xu, Fei; Wu, Tong; Huang, Shali; Han, Kuntong; Lin, Wenwen; Wu, Shizhong; CB, Sivaparthipan; Dinesh Jackson, Samuel R (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      In recent decades, the collection of visual art paintings is large, digitized, and available for public uses that are rapidly growing. The development of multi-media systems is needed due to the huge amount of digitized ...

    • Music Boundary Detection using Convolutional Neural Networks: A Comparative Analysis of Combined Input Features 

      Hernandez-Olivan, Carlos; Beltran, Jose R.; Diaz-Guerra, David (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The analysis of the structure of musical pieces is a task that remains a challenge for Artificial Intelligence, especially in the field of Deep Learning. It requires prior identification of the structural boundaries of the ...

    • Optimized DWT Based Digital Image Watermarking and Extraction Using RNN-LSTM 

      Kumari, R. Radha; Kumar, V. Vijaya; Naidu, K. Rama (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The rapid growth of Internet and the fast emergence of multi-media applications over the past decades have led to new problems such as illegal copying, digital plagiarism, distribution and use of copyrighted digital data. ...

    • 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. ...

    • Learning Analytics to Detect Evidence of Fraudulent Behaviour in Online Examinations 

      Balderas, Antonio; Palomo-Duarte, Manuel; Caballero-Hernández, Juan Antonio; Rodriguez-Garcia, Mercedes; Dodero, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Lecturers are often reluctant to set examinations online because of the potential problems of fraudulent behaviour from their students. This concern has increased during the coronavirus pandemic because courses that were ...

    • Editor's Note 

      Blanco Valencia, Xiomara Patricia (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The International Journal of Interactive Multimedia and Artificial Intelligence - IJIMAI - provides a space in which scientists and professionals can report about new advances in Artificial Intelligence (AI). On this ...

    • Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations 

      Hameed Abdulkareem, Karrar; Arbaiy, Nureize; Hussein Arif, Zainab; Nasser Al-Mhiqani, Mohammed; Abed Mohammed, Mazin; Kadry, Seifedine; Alkareem Alyasseri, Zaid Abdi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad understanding of various studies that have been examined through surveying ...

    • A Study on RGB Image Multi-Thresholding using Kapur/Tsallis Entropy and Moth-Flame Algorithm 

      Rajinikanth, V.; Kadry, Seifedine; González-Crespo, Rubén; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      In the literature, a considerable number of image processing and evaluation procedures are proposed and implemented in various domains due to their practical importance. Thresholding is one of the pre-processing techniques, ...