ListarArtículos Científicos WOS y SCOPUS por tema "deep learning"
Mostrando ítems 1-18 de 18
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A deep learning architecture for power management in smart cities
(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 ... -
An automated hyperparameter tuned deep learning model enabled facial emotion recognition for autonomous vehicle drivers
(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 ... -
Chasing a Better Decision Margin for Discriminative Histopathological Breast Cancer Image Classification
(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 ... -
Clustering of LMS Use Strategies with Autoencoders
(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 ... -
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. -
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 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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Real-time measurement of the uncertain epidemiological appearances of COVID-19 infections
(Applied soft computing, 2021)Virus diseases are a continued threat to human health in both community and healthcare settings. The current virus disease COVID-19 outbreak raises an unparalleled public health issue for the world at large. Wuhan is the ... -
ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)The lung is a vital organ in human physiology and disease in lung causes various health issues. The acute disease in lung is a medical emergency and hence several methods are developed and implemented to detect the lung ... -
Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization
(Springer Science and Business Media Deutschland GmbH, 2021)Increase in population density in large cities has increased the environmental noise present in these environments, causing negative effects on human health. There are different sources of environmental noise; however, ... -
Spatial-resolution independent object detection framework for aerial imagery
(Computers, materials and continua, 2021)Earth surveillance through aerial images allows more accurate identification and characterization of objects present on the surface from space and airborne platforms. The progression of deep learning and computer vision ... -
Star-image Centering with Deep Learning: HST/WFPC2 Images
(Publications of the Astronomical Society of the Pacific, 2023)A deep learning (DL) algorithm is built and tested for its ability to determine centers of star images in HST/WFPC2 exposures, in filters F555W and F814W. These archival observations hold great potential for proper-motion ... -
Strategy to determine the foot plantar center of pressure of a person through deep learning neural networks
(Telkomnika (Telecommunication Computing Electronics and Control), 2020)Some case studies treated by physiotherapists or orthopedists to measure the alignment of the lower extremities during a gait cycle are based on empirical methods of visual observation. This methodology does not guarantee ... -
Video anomaly detection system using deep convolutional and recurrent models
(Results in Engineering, 2023)Automatic identification of anomalies in video surveillance is an interesting research field. Even though interactive multimedia anomaly detection algorithms have been developed, it is still hard for video surveillance to ...