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    A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems 

    Adimoolam, M.; Mohan, Senthilkumar; A., John; Srivastava, Gautam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
    Video surveillance is one of the important state of the art systems to be utilized in order to monitor different areas of modern society surveillance like the general public surveillance system, city traffic monitoring ...

    Using Customer Knowledge Surveys to Explain Sales of Postgraduate Programs: A Machine Learning Approach 

    Asensio, Eva; Almeida, Alejandro; Galiano, Aida; Martín-Álvarez, Juan-Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-03)
    Universities collect information from each customer that contacts them through their websites and social media profiles. Customer knowledge surveys are the main information-gathering tool used to obtain this information ...

    Machine Learning in Business Intelligence 4.0: Cost Control in a Destination Hotel 

    Sánchez-Torres, Fulgencio; González, Iván; Dobrescu, Cosmin C. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-03)
    Cost control is a recurring problem in companies where studies have provided different solutions. The main objective of this research is to propose and validate an alternative to cost control using data science to support ...

    Comparative Analysis of Building Insurance Prediction Using Some Machine Learning Algorithms 

    Ejiyi, Chukwuebuka Joseph; Qin, Zhen; Salako, Abdulhaq Adetunji; Happy, Monday Nkanta; Nneji, Grace Ugochi; Ukwuoma, Chiagoziem Chima; Chikwendu, Ijeoma Amuche; Gen, Ji (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-03)
    In finance and management, insurance is a product that tends to reduce or eliminate in totality or partially the loss caused due to different risks. Various factors affect house insurance claims, some of which contribute ...

    A Comparative Analysis of Machine Learning Models for Banking News Extraction by Multiclass Classification With Imbalanced Datasets of Financial News: Challenges and Solutions 

    Dogra, Varun; Verma, Sahil; Verma, Kavita; Jhanjhi, NZ; Ghosh, Uttam; Le, Dac-Nhuong (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-03)
    Online portals provide an enormous amount of news articles every day. Over the years, numerous studies have concluded that news events have a significant impact on forecasting and interpreting the movement of stock prices. ...

    AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud 

    Baldominos Gómez, Alejandro; Saez, Yago; Quintana, David; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-03)
    Elastic Cloud Compute (EC2) is one of the most well-known services provided by Amazon for provisioning cloud computing resources, also known as instances. Besides the classical on-demand scheme, where users purchase compute ...

    A Clustering Algorithm Based on an Ensemble of Dissimilarities: An Application in the Bioinformatics Domain 

    Martín Merino, Manuel; López Rivero, Alfonso José; Alonso, Vidal; Vallejo, Marcelo; Ferreras, Antonio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-09)
    Clustering algorithms such as k-means depend heavily on choosing an appropriate distance metric that reflect accurately the object proximities. A wide range of dissimilarities may be defined that often lead to different ...

    Painting Authorship and Forgery Detection Challenges with AI Image Generation Algorithms: Rembrandt and 17th Century Dutch Painters as a Case Study 

    Fraile-Narvaez, Marcelo; Sagredo-Olivenza, Ismael; McGowan, Nadia (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-12)
    Image authorship attribution presents many challenges and difficulties which have increased with the capabilities presented by synthetic image generation through different artificial intelligence algorithms available today. ...

    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), 2022-06)
    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 ...

    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), 2022-04)
    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 ...
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