Automated Feature Extraction on AsMap for Emotion Classification Using EEG [PDF]
Sensors, 2022 Emotion recognition using EEG has been widely studied to address the challenges associated with affective computing. Using manual feature extraction methods on EEG signals results in sub-optimal performance by the learning models.
Md. Zaved Iqubal Ahmed +3 more
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Attention-Based Automated Feature Extraction for Malware Analysis [PDF]
Sensors, 2020 Every day, hundreds of thousands of malicious files are created to exploit zero-day vulnerabilities. Existing pattern-based antivirus solutions face difficulties in coping with such a large number of new malicious files. To solve this problem, artificial
Sunoh Choi +4 more
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MEPFeatX—automated feature extraction of motor-evoked potentials in transcranial magnetic stimulation [PDF]
Frontiers in NeuroscienceMotor evoked potentials (MEPs) are an important measure in transcranial magnetic stimulation (TMS) when assessing neuronal excitability in clinical diagnostics related to motor function, as well as in neuroscience research.
Dao T. A. Nguyen +8 more
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Feature extraction from Doppler ultrasound signals for automated diagnostic systems
Computers in Biology and Medicine, 2005 This paper presented the assessment of feature extraction methods used in automated diagnosis of arterial diseases. Since classification is more accurate when the pattern is simplified through representation by important features, feature extraction and ...
Inan GÜLER
exaly +6 more sources
A customized framework for regional classification of conifers using automated feature extraction [PDF]
MethodsX, 2021 Pinyon and juniper expansion into sagebrush ecosystems is one of the major challenges facing land managers in the Great Basin. Effective pinyon and juniper treatment requires maps that accurately and precisely depict tree location and degree of woodland ...
Cali L. Roth +6 more
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Mapathons versus automated feature extraction: a comparative analysis for strengthening immunization microplanning [PDF]
International Journal of Health Geographics, 2021 Background Social instability and logistical factors like the displacement of vulnerable populations, the difficulty of accessing these populations, and the lack of geographic information for hard-to-reach areas continue to serve as barriers to global ...
Amalia Mendes +9 more
doaj +2 more sources
GinJinn: An object‐detection pipeline for automated feature extraction from herbarium specimens [PDF]
Applications in Plant Sciences, 2020 Premise The generation of morphological data in evolutionary, taxonomic, and ecological studies of plants using herbarium material has traditionally been a labor‐intensive task.
Tankred Ott +3 more
doaj +2 more sources
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
doaj +3 more sources
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
doaj +3 more sources
Automated feature extraction for planning state representation
Inteligencia ArtificialDeep learning methods have recently emerged as a mechanism for generating embeddings of planning states without the need to predefine feature spaces.
Oscar Sapena +2 more
doaj +3 more sources