Results 1 to 10 of about 112,978 (252)
IoT Traffic Analyzer Tool with Automated and Holistic Feature Extraction Capability
Sensors, 2023 The Internet of Things (IoT) is an emerging technology that attracted considerable attention in the last decade to become one of the most researched topics in computer science studies.
Alanoud Subahi, Miada Almasre
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Sensors, 2022 Tool wear monitoring is a critical issue in advanced manufacturing systems. In the search for sensing devices that can provide information about the grinding process, Acoustic Emission (AE) appears to be a promising technology. The present paper presents
D. González +4 more
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IEEE Access, 2022 Automatic detection of pulmonary nodules is critical for the early diagnosis and prevention of lung cancer. Computed tomography (CT) is an effective and economical lung cancer detection method. In CT images, the size and shape of pulmonary nodules appear
Guanglu Zhang +3 more
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Toward Automated Feature Extraction for Deep Learning Classification of Electrocardiogram Signals
IEEE Access, 2022 Many recent studies have focused on the automatic classification of electrocardiogram (ECG) signals using deep learning (DL) methods. Most rely on existing complex DL methods, such as transfer learning or providing the models with carefully designed ...
Fatima Sajid Butt +3 more
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Automated EEG Pathology Detection Based on Significant Feature Extraction and Selection
Mathematics, 2023 Neurological diseases are a significant health threat, often presenting through abnormalities in electroencephalogram (EEG) signals during seizures.
Yunning Zhong +3 more
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Вісник Харківського національного університету імені В.Н. Каразіна. Серія Геологія. Географія. Екологія, 2022 Introduction. The 3D modeling technology of the urban environment using LiDAR survey data expands the possibilities of urban research. With proper use of various methods, models and algorithms for processing and analyzing LiDAR data, they can ...
Denys Serohin
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SoCodeCNN: Program Source Code for Visual CNN Classification Using Computer Vision Methodology
IEEE Access, 2019 Automated feature extraction from program source-code such that proper computing resources could be allocated to the program is very difficult given the current state of technology.
Somdip Dey +3 more
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Sensors, 2020 Sleep apnea is a common sleep disorder that causes repeated breathing interruption during sleep. The performance of automated apnea detection methods based on respiratory signals depend on the signals considered and feature extraction methods.
Hisham ElMoaqet +4 more
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CNN and KPCA-Based Automated Feature Extraction for Real Time Driving Pattern Recognition
IEEE Access, 2019 Driving conditions greatly affect the energy control and the fuel economy of a hybrid electric vehicle (HEV). In this paper, an automated feature extraction scheme based on convolution neural networks (CNNs) and Kernel PCA (KPCA) for real time driving ...
Liang Xie +3 more
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Comparison of different feature extraction methods for applicable automated ICD coding
BMC Medical Informatics and Decision Making, 2022 Background Automated ICD coding on medical texts via machine learning has been a hot topic. Related studies from medical field heavily relies on conventional bag-of-words (BoW) as the feature extraction method, and do not commonly use more complicated ...
Zhao Shuai +6 more
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