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    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), 2023-03)
    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), 2023-03)
    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 ...

    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), 2023-03)
    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 ...

    COVID-19 Disease Prediction Using Weighted Ensemble Transfer Learning 

    Kumar Roy, Pradeep; Singh, Ashish (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
    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), 2023-03)
    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), 2023-03)
    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), 2023-03)
    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), 2023-03)
    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), 2023-03)
    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), 2023-03)
    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 ...

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