Mostrando ítems 242-261 de 743

    • Data and Artificial Intelligence Strategy: A Conceptual Enterprise Big Data Cloud Architecture to Enable Market-Oriented Organisations 

      Herrera-Viedma, Enrique; Carrasco, Ramón Alberto; Moreno, Caio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)
      Market-Oriented companies are committed to understanding both the needs of their customers, and the capabilities and plans of their competitors through the processes of acquiring and evaluating market information in a ...
    • Data Science Techniques for COVID-19 in Intensive Care Units 

      Muñoz Lezcano, Sergio; López Hernández, Fernando Carlos; Corbi, Alberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Data scientists aim to provide techniques and tools to the clinicians to manage the new coronavirus disease. Nowadays, new emerging tools based on Artificial Intelligence (AI), Image Processing (IP) and Machine Learning ...
    • Data-Aware Scheduling Strategy for Scientific Workflow Applications in IaaS Cloud Computing 

      Makhlouf, Sid Ahmed; Yagoubi, Belabbas (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Scientific workflows benefit from the cloud computing paradigm, which offers access to virtual resources provisioned on pay-as-you-go and on-demand basis. Minimizing resources costs to meet user’s budget is very important ...
    • DataCare: Big Data Analytics Solution for Intelligent Healthcare Management 

      Saez, Yago; Baldominos Gómez, Alejandro; Rada, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2018)
      This paper presents DataCare, a solution for intelligent healthcare management. This product is able not only to retrieve and aggregate data from different key performance indicators in healthcare centers, but also to ...
    • 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 ...
    • Day-Ahead Price Forecasting for the Spanish Electricity Market 

      Díaz, Julia; Romero, Álvaro; Dorronsoro, José Ramón (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      During the last years, electrical systems around the world and in particular the Spanish electric sector have undergone great changes with the focus of turning them into more liberalized and competitive markets. For this ...
    • Deep Belief Network and Auto-Encoder for Face Classification 

      Bouchra, Nassih; Mohammed, Ngadi; Nabil, Hmina; Aouatif, Amine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we have adopted the representative Deep Learning methods ...
    • 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 ...
    • 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 ...
    • Deep Learning-based Side Channel Attack on HMAC SM3 

      Jin, Xin; Xiao, Yong; Li, Shiqi; Wang, Suying (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      SM3 is a Chinese hash standard. HMAC SM3 uses a secret key to encrypt the input text and gives an output as the HMAC of the input text. If the key is recovered, adversaries can easily forge a valid HMAC. We can choose ...
    • 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 ...
    • Deep Neural Networks for Speech Enhancement in Complex-Noisy Environments 

      Saleem, Nasir; Khattak, Muhammad Irfan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      In this paper, we considered the problem of the speech enhancement similar to the real-world environments where several complex noise sources simultaneously degrade the quality and intelligibility of a target speech. The ...
    • Deep Transfer Learning-Based Automated Identification of Bird Song 

      Das, Nabanita; Padhy, Neelamadhab; Dey, Nilanjan; Bhattacharya, Sudipta; Tavares, Joao Manuel R. S. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Bird species identification is becoming increasingly crucial for avian biodiversity conservation and assisting ornithologists in quantifying the presence of birds in a given area. Convolutional Neural Networks (CNNs) are ...
    • DeepFair: Deep Learning for Improving Fairness in Recommender Systems 

      Bobadilla, Jesús; Lara-Cabrera, Raúl; González-Prieto, Ángel; Ortega, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The lack of bias management in Recommender Systems leads to minority groups receiving unfair recommendations. Moreover, the trade-off between equity and precision makes it difficult to obtain recommendations that meet both ...
    • Deobfuscating Leetspeak With Deep Learning to Improve Spam Filtering 

      Vélez de Mendizabal, Iñaki; Vidriales, Xabier; Basto-Fernandes, Vitor; Ezpeleta, Enaitz; Méndez, José Ramón; Zurutuza, Urko (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ...
    • Deraining and Desnowing Algorithm on Adaptive Tolerance and Dual-tree Complex Wavelet Fusion 

      Zang, Jingfeng; Xu, Ningxue; Liu, Riu; Shi, Yuhuan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Severe weather conditions such as rain and snow often reduce the visual perception quality of the video image system, the traditional methods of deraining and desnowing usually rarely consider adaptive parameters. In order ...
    • Design and Development of an Energy Efficient Multimedia Cloud Data Center with Minimal SLA Violation 

      Biswas, Nirmal Kr.; Banerjee, Sourav; Biswas, Utpal (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Multimedia computing (MC) is rising as a nascent computing paradigm to process multimedia applications and provide efficient multimedia cloud services with optimal Quality of Service (QoS) to the multimedia cloud users. ...
    • Design and Evaluation of a Short Version of the User Experience Questionnaire (UEQ-S) 

      Schrepp, Martin; chewski, Jörg Thomas; Hinderks, Andreas (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      The user experience questionnaire (UEQ) is a widely used questionnaire to measure the subjective impression of users towards the user experience of products. The UEQ is a semantic differential with 26 items. Filling out ...
    • Design and Implementation of a Combinatorial Optimization Multi-population Meta-heuristic for Solving Vehicle Routing Problems 

      Osaba, Eneko; Díaz, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)
      This paper aims to give a presentation of the PhD defended by Eneko Osaba on November 16th, 2015, at the University of Deusto. The thesis can be placed in the field of artificial intelligence. Specifically, it is related ...
    • Design and Validation of a Framework for the Creation of User Experience Questionnaires 

      Schrepp, Martin; Thomaschewski, Jörg (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      Existing user experience questionnaires have a fixed number of scales. Each of these scales measures a distinct aspect of user experience. These questionnaires can be used with little effort and provide a number of useful ...