"deep learning" - Selaus asiasanan mukaanArtikkelit
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A Survey on Deep Learning Role in Distribution Automation System : A New Collaborative Learning-to-Learning (L2L) Concept
(IEEE, 29.07.2022)
articleThis paper focuses on a powerful and comprehensive overview of Deep Learning (DL) techniques on Distribution Automation System (DAS) applications to provide a complete viewpoint of modern power systems. DAS is a crucial ... -
An Urban Traffic Flow Fusion Network Based on a Causal Spatiotemporal Graph Convolution Network
(MDPI, 11.07.2022)
articleTraffic flow prediction is an important part of intelligent transportation systems. In recent years, most methods have considered only the feature relationships of spatial dimensions of traffic flow data, and ignored the ... -
Application of machine learning algorithm in the sheet metal industry : an exploratory case study
(Taylor and Francis, 03.09.2021)
articleThis study solved a practical problem in a case in the sheet metal industry using machine learning and deep learning algorithms. The problem in the case company was related to detecting the minimum gaps between components, ... -
Cyber Security in Power Systems Using Meta-Heuristic and Deep Learning Algorithms
(IEEE, 22.02.2023)
articleSupervisory Control and Data Acquisition system linked to Intelligent Electronic Devices over a communication network keeps an eye on smart grids’ performance and safety. The lack of algorithms protecting the power system ... -
Deep Machine Learning for Oral Cancer : From Precise Diagnosis to Precision Medicine
(Frontiers Media, 11.01.2022)
articleOral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and improper treatment planning still form ... -
Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things
(Wiley-Blackwell, 15.11.2023)
articleIntroduction Particularly within the Internet of Medical Things (IoMT) context, skin lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of skin lesion analysis, CAD systems play a ... -
Wide-Area Composite Load Parameter Identification Based on Multi-Residual Deep Neural Network
(IEEE, 09 / 2023)
articleAccurate and practical load modeling plays a critical role in the power system studies including stability, control, and protection. Recently, wide-area measurement systems (WAMSs) are utilized to model the static and ...