Listar 2023 fecha de publicación 

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Mostrando ítems 1-20 de 44

    • Using the Statistical Machine Learning Models ARIMA and SARIMA to Measure the Impact of Covid-19 on Official Provincial Sales of Cigarettes in Spain 

      Andueza, Andoni; Del Arco-Osuna, Miguel Ángel; Fornés, Bernat; González-Crespo, Rubén; Martín-Álvarez, Juan-Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      From a public health perspective, tobacco use is addictive by nature and triggers several cancers, cardiovascular and respiratory diseases, reproductive disorders, and many other adverse health effects leading to many ...

    • Sentiment Analysis and Classification of Hotel Opinions in Twitter With the Transformer Architecture 

      Arroni, Sergio; Galán, Yerai; Guzmán-Guzmán, Xiomarah; Nuñez-Valdez, Edward Rolando; Gómez, Alberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Sentiment analysis is of great importance to parties who are interested is analyzing the public opinion in social networks. In recent years, deep learning, and particularly, the attention-based architecture, has taken over ...

    • COVID-19 Disease Prediction Using Weighted Ensemble Transfer Learning 

      Kumar Roy, Pradeep; Singh, Ashish (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Health experts use advanced technological equipment to find complex diseases and diagnose them. Medical imaging nowadays is popular for detecting abnormalities in human bodies. This research discusses using the Internet ...

    • An Efficient Bet-GCN Approach for Link Prediction 

      Saxena, Rahul; Pankaj Patil, Spandan; Kumar Verma, Atul; Jadeja, Mahipal; Vyas, Pranshu; Bhateja, Vikrant; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      The task of determining whether or not a link will exist between two entities, given the current position of the network, is called link prediction. The study of predicting and analyzing links between entities in a network ...

    • Human Activity Recognition From Sensorised Patient's Data in Healthcare: A Streaming Deep Learning-Based Approach 

      Hurtado, Sandro; García-Nieto, José; Popov, Anton; Navas-Delgado, Ismael (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Physical inactivity is one of the main risk factors for mortality, and its relationship with the main chronic diseases has experienced intensive medical research. A well-known method for assessing people’s activity is the ...

    • Dataset and Baselines for IID and OOD Image Classification Considering Data Quality and Evolving Environments 

      Zhang, Zhuo; Li, Yang; Gong, Yicheng; Yang, Yue; Ma, Shukun; Guo, Xiaolan; Ercisli, Sezai (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      At present, artificial intelligence is in a period of rapid development, and deep learning has begun to be applied in various fields. Data, as a key part of the deep learning, its efficiency and stability, will directly ...

    • An Efficient Probabilistic Methodology to Evaluate Web Sources as Data Source for Warehousing 

      Sharan Sinha, Hariom; Kumar Choudhary, Saket; Kumar Solanki, Vijender (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Internet is the largest source of data and the requirement of data analytics have fueled the data warehouse to switch from structured conventional Data Warehouse to complex Web Data Warehouse. The dynamic and complex nature ...

    • A Spatio-Temporal Attention Graph Convolutional Networks for Sea Surface Temperature Prediction 

      Chen, Desheng; Wen, Jiabao; Lv, Caiyun (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Sea surface temperature (SST) is an important index to detect ocean changes, predict SST anomalies, and prevent natural disasters caused by abnormal changes, dynamic variation of which have a profound impact on the whole ...

    • Editor’s Note 

      Yang, Jiachen; Song, Houbing; Khurram Khan, Muhammad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      With the rapid development of information and communication technologies, artificial intelligence and IoTs, more and more advanced technologies, such as machine learning, reinforcement learning, neural networks and fuzzy ...

    • Blockchain Based Cloud Management Architecture for Maximum Availability 

      Arias Maestro, Alberto; Sanjuán Martínez, Óscar; Teredesai, Ankur M.; García-Díaz, Vicente (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Contemporary cloud application and Edge computing orchestration systems rely on controller/worker design patterns to allocate, distribute, and manage resources. Standard solutions like Apache Mesos, Docker Swarm, and ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • RIADA: A Machine-Learning Based Infrastructure for Recognising the Emotions of Spotify Songs 

      Álvarez, P.; García de Quirós, J.; Baldassarri, S. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The music emotions can help to improve the personalization of services and contents offered by music streaming providers. Many research works based on the use of machine learning techniques have addressed the problem of ...

    • RGBeat: A Recoloring Algorithm for Deutan and Protan Dichromats 

      Ribeiro, Madalena; Gomes, Abel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Deutan and protan dichromats only see exactly two hues in the HSV color space, 240-blue (240o) and 60-yellow (60 o). Consequently, they see both reds and greens as yellows; therefore, they cannot distinguish reds from ...

    • Validity and Intra Rater Reliability of a New Device for Tongue Force Measurement 

      Diaz-Saez, Marta Carlota; Beltran-Alacreu, Hector; Gil-Castillo, Javier; Navarro-Fernández, Gonzalo; Cebrian Carretero, Jose Luis; Gil-Martínez, Alfonso (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      Background. The tongue is made up of multiple muscles both extrinsic and intrinsic. The hyoid, jaw and maxillary complex contain the tongue, which hangs between these structures forming an important biomechanical system. ...

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

      Kumar, Abhishek; Kumar, Swarn Avinash; Dutt, Vishal; Kumar Dubey, Ashutosh; 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 ...