Listar por tema "deep learning"
Mostrando ítems 41-60 de 75
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Detección y Diagnóstico de Fallas en Rodamientos con Velocidad Variable Aplicando Aprendizaje Profundo
(20/07/2020)Detectar potenciales anomalías en rodamientos de equipos rotativos, minimiza el riesgo de pérdidas de lucro cesante, costos de reparación y afectación de seguridad de procesos como consecuencia de una falla. Los rodamientos ... -
Development of a deep learning model for recognising traffic sings focused on difficult cases
(Springer Science and Business Media Deutschland GmbH, 2022)The automotive industry is expanding its efforts to develop new techniques for increasing the level of intelligent driving and create new autonomous cars capable of driving with more intelligent capabilities. Thus, companies ... -
Efficient Gated Convolutional Recurrent Neural Networks for Real-Time Speech Enhancement
(International Journal of Interactive Multimedia and Artificial Intelligence, 05/2023)Deep learning (DL) networks have grown into powerful alternatives for speech enhancement and have achieved excellent results by improving speech quality, intelligibility, and background noise suppression. Due to high ... -
Enhancing big data feature selection using a hybrid correlation-based feature selection
(2021)This study proposes an alternate data extraction method that combines three well-known feature selection methods for handling large and problematic datasets: the correlation-based feature selection (CFS), best first search ... -
FiCRoN, a deep learning-based algorithm for the automatic determination of intracellular parasite burden from fluorescence microscopy images
(Medical Image Analysis, 2024)Protozoan parasites are responsible for dramatic, neglected diseases. The automatic determination of intracellular parasite burden from fluorescence microscopy images is a challenging problem. Recent advances in deep ... -
G-Sep: A Deep Learning Algorithm for Detection of Long-Term Sepsis Using Bidirectional Gated Recurrent Unit
(International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 2022)Sepsis is a common and deadly condition that must be treated eloquently within 19 hours. Numerous deep learning techniques, including Recurrent Neural Networks, Convolution Neural Networks, Long Short-Term Memory, and Gated ... -
Human Activity Recognition From Sensorised Patient's Data in Healthcare: A Streaming Deep Learning-Based Approach
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)Physical inactivity is one of the main risk factors for mortality, and its relationship with the main chronic diseases has experienced intensive medical research. A well-known method for assessing people’s activity is the ... -
Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)The discrimination of the clutter interfering signal is a current problem in modern radars’ design, especially in coastal or offshore environments where the histogram of the background signal often displays heavy tails. ... -
Imputation of Rainfall Data Using the Sine Cosine Function Fitting Neural Network
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)Missing rainfall data have reduced the quality of hydrological data analysis because they are the essential input for hydrological modeling. Much research has focused on rainfall data imputation. However, the compatibility ... -
Large Language Models for in Situ Knowledge Documentation and Access With Augmented Reality
(International Journal of Interactive Multimedia and Artificial Intelligence, 09/2023)Augmented reality (AR) has become a powerful tool for assisting operators in complex environments, such as shop floors, laboratories, and industrial settings. By displaying synthetic visual elements anchored in real ... -
LIPSNN: A Light Intrusion-Proving Siamese Neural Network Model for Facial Verification
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)Facial verification has experienced a breakthrough in recent years, not only due to the improvement in accuracy of the verification systems but also because of their increased use. One of the main reasons for this has been ... -
Matching user queries in natural language with Cyber-Physical Systems using deep learning through a Transformer approach
(16th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2022, 2022)IoT devices, as a result of technological advancements, may have different ways of operating and communicating despite having the same features. Therefore, finding a specific device among the whole of deployed devices can ... -
Measuring the Difference Between Pictures From Controlled and Uncontrolled Sources to Promote a Destination. A Deep Learning Approach
(International Journal of Interactive Multimedia and Artificial Intelligence, 10/2023)Promoting a destination is a major task for Destination Marketing Organizations (DMOs). Although DMOs control, to some extent, the information presented to travelers (controlled sources), there are other different sources ... -
Modified YOLOv4-DenseNet Algorithm for Detection of Ventricular Septal Defects in Ultrasound Images
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)Doctors conventionally analyzed echocardiographic images for diagnosing congenital heart diseases (CHDs). However, this process is laborious and depends on the experience of the doctors. This study investigated the use of ... -
Music Boundary Detection using Convolutional Neural Networks: A Comparative Analysis of Combined Input Features
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)The analysis of the structure of musical pieces is a task that remains a challenge for Artificial Intelligence, especially in the field of Deep Learning. It requires prior identification of the structural boundaries of the ... -
PeopleNet: A Novel People Counting Framework for Head-Mounted Moving Camera Videos
(International Journal of Interactive Multimedia and Artificial Intelligence, 04/2023)Traditional crowd counting (optical flow or feature matching) techniques have been upgraded to deep learning (DL) models due to their lack of automatic feature extraction and low-precision outcomes. Most of these models ... -
El personal shopper de la educación
(Nueva Revista, 11/2021)Un personal shopper es una persona que ayuda a sus clientes a elegir y comprar diversos objetos. Aplicado al terreno de la educación, ese papel lo puede hacer con alto grado de eficacia un asesor virtual desarrollado con ... -
Probador virtual basado en redes neuronales convolucionales (CNN) y redes generativas antagónicas (GAN)
(20/07/2023)El auge del comercio electrónico ha amplificado la necesidad de soluciones tecnológicas que aborden los desafíos inherentes a la compra de ropa en línea. El presente trabajo se enfoca en la implementación de un probador ... -
Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)Nuclei segmentation in whole-slide imaging (WSI) plays a crucial role in the field of computational pathology. It is a fundamental task for different applications, such as cancer cell type classification, cancer grading, ... -
Real World Anomalous Scene Detection and Classification using Multilayer Deep Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)Surveillance videos record malicious events in a locality utilizing various machine learning algorithms for detection. Deep-learning algorithms being the most prominent AI algorithms are data-hungry as well as computationally ...