Listar Revista IJIMAI por título 

Listar Revista IJIMAI por título

Mostrando ítems 233-252 de 748

    • Contour Detection of Mammogram Masses Using ChanVese Model and B-Spline Approximation 

      Youssef, Youssef Ben; El Abdelmounim, hassane; Lamnii, Abdellah (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2017)
      ChanVese model segmentation has been applied for contour detection of mass region in mammogram in our previous work. Available information of the desired object contour is used, in this paper, for B-spline approximation. ...

    • Contour Enhancement Algorithm for Improving Visual Perception of Deutan and Protan Dichromats 

      Ribeiro, Madalena; Gomes, Abel (06/2019)
      A variety of recoloring methods has been proposed in the literature to remedy the problem of confusing red-green colors faced by dichromat people (as well by other color-blinded people). The common strategy to mitigate ...

    • Contribution to the Association Rules Visualization for Decision Support: A Combined Use Between Boolean Modeling and the Colored 2D Matrix 

      Atmani, Baghdad; Benhacine, Fatima Zohra; Abdelouhab, Fawzia Zohra (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In the present paper we aim to study the visual decision support based on Cellular machine CASI (Cellular Automata for Symbolic Induction). The purpose is to improve the visualization of large sets of association rules, ...

    • ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System 

      Qasim Gandapur, Maryam; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society. Realworld ...

    • Correlation Between Coupling Metrics Values and Number of Classes in Multimedia Java Projects: A Case Study 

      Bivde, V S; Sarasu, P (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      Coupling is an interdependence relationship between the modules of object-oriented software. It is a property with the most influence on quality attributes of the object-oriented software. Coupling with high values results ...

    • Cosine Similarity Based Hierarchical Skeleton and Cross Indexing for Large Scale Image Retrieval Using Mapreduce Framework 

      Qianwen, Zhong (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The imaging data in various fields like industries, institutions, medical, and so on has grown exponentially in recent years. An innovative software solution is required for the efficient management of image data. The ...

    • COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach 

      Saiz, Fátima; Barandiaran, Iñigo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      The Corona Virus Disease (COVID-19) is an infectious disease caused by a new virus that has not been detected in humans before. The virus causes a respiratory illness like the flu with various symptoms such as cough or ...

    • 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 ...

    • COVID-19 Mortality Risk Prediction Using X-Ray Images 

      Prada, J.; Gala, Y.; Sierra, A. L. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      The pandemic caused by coronavirus COVID-19 has already had a massive impact in our societies in terms of health, economy, and social distress. One of the most common symptoms caused by COVID-19 are lung problems like ...

    • Cross-Lingual Neural Network Speech Synthesis Based on Multiple Embeddings 

      Nosek, Tijana V.; Suzić, Siniša B.; Pekar, Darko J.; Obradović, Radovan J.; Sečujski, Milan S.; Delić, Vlado D. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The paper presents a novel architecture and method for speech synthesis in multiple languages, in voices of multiple speakers and in multiple speaking styles, even in cases when speech from a particular speaker in the ...

    • 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 ...