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Listar por tema "deep learning"

Mostrando ítems 1-20 de 78

    • A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation 

      Amador-Domínguez, Elvira; Serrano, Emilio; Manrique, Daniel; Bajo, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Case-Based Reasoning models are one of the most used reasoning paradigms in expert-knowledge-driven areas. One of the most prominent fields of use of these systems is the medical sector, where explainable models are required. ...

    • A Convolution Neural Network Engine for Sclera Recognition 

      Harish, B S; Maheshan, M S; Nagadarshan, N (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      The world is shifting to the digital era in an enormous pace. This rise in the digital technology has created plenty of applications in the digital space, which demands a secured environment for transacting and authenticating ...

    • A deep learning architecture for power management in smart cities 

      Xin, Qin; Alazab, Mamoun; García Díaz, Vicente; Montenegro-Marin, Carlos Enrique; González-Crespo, Rubén (Elsevier Ltd, 2022)
      Sustainable energy management is an inexpensive approach for improved energy use. However, the research used does not focus on cutting-edge technology possibilities in an Internet of things (IoT). This paper includes the ...

    • A Platform for Swimming Pool Detection and Legal Verification Using a Multi-Agent System and Remote Image Sensing 

      Sánchez San Blas, Héctor; Carmona Balea, Antía; Sales, A.; Augusto Silva, Luís; Villarrubia González, Gabriel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Spain is the second country in Europe with the most swimming pools. However, the legal literature estimates that 20% of swimming pools are not declared or irregular.The administration has a corps of people who manually ...

    • A Recent Trend in Individual Counting Approach Using Deep Network 

      Ghazvini, Anahita; Abdullah, Siti Norul Huda Sheikh; Ayob, Masri (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In video surveillance scheme, counting individuals is regarded as a crucial task. Of all the individual counting techniques in existence, the regression technique can offer enhanced performance under overcrowded area. ...

    • Adaptation of Applications to Compare Development Frameworks in Deep Learning for Decentralized Android Applications 

      Sainz-de-Abajo, Beatriz; Laso, Sergio; Garcia-Alonso, Jose (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)
      Not all frameworks used in machine learning and deep learning integrate with Android, which requires some prerequisites. The primary objective of this paper is to present the results of the analysis and a comparison of ...

    • Adaptive Deep Learning Detection Model for Multi-Foggy Images 

      Hussein Arif, Zainab; Mahmoud, Moamin; Hameed Abdulkareem, Karrar; Kadry, Seifedine; Abed Mohammed, Mazin; Nasser Al-Mhiqani, Mohammed; Al-Waisy, Alaa S.; Nedoma, Jan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      The fog has different features and effects within every single environment. Detection whether there is fog in the image is considered a challenge and giving the type of fog has a substantial enlightening effect on image ...

    • All You Need Is AI Muse: hacia el desarrollo de interfaces interactivas con grandes modelos de lenguaje para la creación y performance musical algorítmica 

      Guerra-Parra, Carlos Arturo (21/02/2024)
      Este estudio se enfoca en la interacción entre Modelos de Lenguaje a Gran Escala (LLM) y la creación de música algorítmica, analizando cómo estos modelos pueden influir en el proceso creativo a través de diversas interfaces ...

    • Alzheimer Disease Detection Techniques and Methods: A Review 

      Afzal, Sitara; Maqsood, Muazzam; Khan, Umair; Mehmood, Irfan; Nawaz, Hina; Aadil, Farhan; Song, Oh-Young; Yunyoung, Nam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help ...

    • An automated hyperparameter tuned deep learning model enabled facial emotion recognition for autonomous vehicle drivers 

      Jain, Deepak Kumar; Dutta, Ashit Kumar; Verdú, Elena; Alsubai, Shtwai; Sait, Abdul Rahaman Wahab (Image and Vision Computing, 2023)
      The progress of autonomous driving cars is a difficult movement that causes problems regarding safety, ethics, social acceptance, and cybersecurity. Currently, the automotive industry is utilizing these technologies to ...

    • An EEG Signal Recognition Algorithm During Epileptic Seizure Based on Distributed Edge Computing 

      Qiu, Shi; Cheng, Keyang; Zhou, Tao; Tahir, Rabia; Ting, Liang (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      Epilepsy is one kind of brain diseases, and its sudden unpredictability is the main cause of disability and even death. Thus, it is of great significance to identify electroencephalogram (EEG) during the seizure quickly ...

    • An Efficient Fake News Detection System Using Contextualized Embeddings and Recurrent Neural Network 

      Ali Reshi, Junaid; Ali, Rashid (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Fake news is detrimental for society and individuals. Since the information dissipation through online media is too quick, an efficient system is needed to detect and counter the propagation of fake news on social media. ...

    • Anti-Diabetic Therapeutic Medicinal Plant Identification Using Deep Fused Discriminant Subspace Ensemble (D2 SE) 

      Sasikaladevi, N.; Pradeepa, S.; Revathi, A.; Vimal, S.; Dhiman, Gaurav (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 05/2024)
      About 422 million people worldwide have diabetes, the majority living in low-and middle-income countries, and 1.5 million deaths are directly attributed to diabetes each year. According to the Botanical Survey of India, ...

    • Attentive Flexible Translation Embedding in Top-N Sparse Sequential Recommendations 

      Seo, Min-Ji; Kim, Myung-Ho (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)
      Sequential recommendation aims to predict the user’s next action based on personal action sequences. The major challenge in this task is how to achieve high performance recommendation under the data sparsity problem. ...

    • Automatic Cell Counting With YOLOv5: A Fluorescence Microscopy Approach 

      López Flórez, Sebastián; González-Briones, Alfonso; Hernández, Guillermo; Ramos, Carlos; de la Prieta, Fernando (International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)
      Counting cells in a Neubauer chamber on microbiological culture plates is a laborious task that depends on technical experience. As a result, efforts have been made to advance computer vision-based approaches, increasing ...

    • Board of Directors' Profile: A Case for Deep Learning as a Valid Methodology to Finance Research 

      Vaca, César; Tejerina, Fernando; Sahelices, Benjamín (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2022)
      This paper presents a Deep Learning (DL) model for natural language processing of unstructured CVs to generate a six-dimensional profile of the professional experience of the Spanish companies' board of directors. We show ...

    • Chasing a Better Decision Margin for Discriminative Histopathological Breast Cancer Image Classification 

      Alirezazadeh, Pendar; Dornaika, Fadi; Moujahid, Abdelmalik (Electronics (Switzerland), 2023)
      When considering a large dataset of histopathologic breast images captured at various magnification levels, the process of distinguishing between benign and malignant cancer from these images can be time-intensive. The ...

    • Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems 

      Bobadilla, Jesús; Ortega, Fernando; Gutiérrez, Abraham; Alonso, Santiago (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      This paper proposes a scalable and original classification-based deep neural architecture. Its collaborative filtering approach can be generalized to most of the existing recommender systems, since it just operates on the ...

    • Clustering of LMS Use Strategies with Autoencoders 

      Verdú, María J; Regueras, Luisa M.; de Castro, Juan-Pablo; Verdú, Elena (Applied Sciences (Switzerland), 2023)
      Learning Management Systems provide teachers with many functionalities to offer materials to students, interact with them and manage their courses. Recognizing teachers’ instructing styles from their course designs would ...

    • Comparativa de modelos de aprendizaje profundo para la detección de odio en castellano en medios de información social. 

      Simón-Gallego, Carlos (08/02/2023)
      Con este trabajo tratamos de determinar la viabilidad que existe en la detección automática de expresiones de odio en castellano mediante la aplicación de Deep Learning (DL) sobre el dataset del proyecto Hatemedia1. Para ...