Listar por tema "deep learning"
Mostrando ítems 21-40 de 78
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Comparativa de Técnicas de Preprocesamiento y Entrenamiento para Detección de Hemorragias Intracraneales
(22/02/2020)En las últimas dos décadas, el mundo de la medicina está teniendo un notable interés por el uso del procesamiento de imágenes con Inteligencia Artificial para la detección de numerosas enfermedades y lesiones que tienen ... -
Comparativa y entrenamiento de modelos de Smart Mobility: detección y alerta temprana de ciclistas
(22/09/2021)Este proyecto se enfocará en el ámbito de la Movilidad Inteligente y, más concretamente, en la detección temprana de objetos en la vía. En primer lugar, se realizará una breve descripción del estado del arte de dicha línea ... -
Constructing the Public Opinion Crisis Prediction Model Using CNN and LSTM Techniques Based on Social Network Mining
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 07/2024)This research endeavors to address the persistent dissemination of public opinion within social networks, mitigate the propagation of inappropriate content on these platforms, and enhance the overall service quality of ... -
ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System
(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 ... -
Correction to: Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization
(Springer Science and Business Media Deutschland GmbH, 2021)A correction to this paper has been published: https://bv.unir.net:2133/10.1007/s00500-021-05852-9. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature. -
COVID-19 Detection in Chest X-ray Images using a Deep Learning Approach
(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
(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
(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 ... -
Deep Belief Network and Auto-Encoder for Face Classification
(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
(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 approach to Automated data collection and processing of video surveillance in sports activity prediction
(Springer, 2023)Human activity recognition is one of today's key fields of automated video surveillance. The technology of smart surveillance technology plays a crucial role. Despite efforts in recent years, it is still difficult to ... -
Deep Learning Assisted Medical Insurance Data Analytics With Multimedia System
(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 como alternativa a la deconvolución de imágenes de galaxias capturadas con el telescopio espacial Hubble
(01/02/2023)Las anomalías y artefactos de las capturas de imágenes de galaxias reales provocan la presencia de ruido que dificulta la labor de observación e investigación de los astrónomos. El ruido de Poisson y la Función de Dispersión ... -
Deep Learning en el diagnóstico de Alzheimer mediante Imágenes de Resonancia Magnética
(09/2022)En esta investigación se explora el diagnóstico de la enfermedad de Alzheimer (EA) mediante imágenes. Para detectar la enfermedad se ha empleado de manera convencional la verificación del historial médico del paciente, ... -
Deep Learning for Diabetic Retinopathy Prediction
(Springer Science and Business Media Deutschland GmbH, 2021)Diabetic retinopathy is a complication of diabetes mellitus. Its early diagnosis can prevent its progression and avoid the development of other major complications such as blindness. Deep learning and transfer learning ... -
Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms
(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
(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 ... -
DeepFair: Deep Learning for Improving Fairness in Recommender Systems
(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
(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 ... -
Design of a pollution ontology-based event generation framework for the dynamic application of traffic restrictions
(PeerJ Computer Science, 2023)The environmental damage caused by air pollution has recently become the focus of city council policies. The concept of the green city has emerged as an urban solution by which to confront environmental challenges worldwide ...