Results 1 to 10 of about 1,624,606 (100)
Bulut Bilişim Güvenliği İçin Kullanılan Makine Öğrenimi Yöntemleri Üzerine Bir Derleme
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2022 Son zamanlarda bulut bilişimin farklı amaçlar için kullanımı artmaktadır. Bu durum bulut üzerindeki bilgilerin çoğalmasına sebep olmaktadır ve daha yüksek güvenlik gereksinimlerinin olduğunu göstermektedir.
Bilge Kağan Yazar +2 more
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Machine Learning Application in Genomic, Exercise, and Vital Datasets [PDF]
운동과학, 2021 s PURPOSE Machine learning (ML) refers to newly developed computer algorithms that are improved through iterative experiences. ML applications are expected to assist humans in analyzing large amounts of data.
Kyung-Wan Baek +2 more
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Detection of network intelligence features with the decision tree model
Informatika, 2022 O b j e c t i v e s . Early detection of network intelligence allows to reduce the risks of information security of organizations. The study was carried out to develop software module for detecting the features of network intelligence by machine ...
N. P. Sharaev, S. N. Petrov
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Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey
Journal of Imaging, 2021 Diabetic Retinopathy (DR) is a leading cause of vision loss in the world. In the past few years, artificial intelligence (AI) based approaches have been used to detect and grade DR.
Vasudevan Lakshminarayanan +3 more
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An End-to-End Framework for Machine Learning-Based Network Intrusion Detection System
IEEE Access, 2021 The increase of connected devices and the constantly evolving methods and techniques by attackers pose a challenge for network intrusion detection systems from conception to operation.
Gustavo De Carvalho Bertoli +8 more
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IEEE Access, 2021 Cardiovascular related diseases are the most significant health concern around the globe. The most crucial health indicator is blood pressure because it gives essential information about the health of a patient’s heart. Cardiovascular diseases can
Sumbal Maqsood +3 more
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Remote Sensing, 2022 Owing to the limitation of spatial resolution and spectral resolution, deep learning methods are rarely used for the classification of multispectral remote sensing images based on the real spectral dataset from multispectral remote sensing images.
Yi Zhao +3 more
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Application of Deep Learning on Millimeter-Wave Radar Signals: A Review
Sensors, 2021 The progress brought by the deep learning technology over the last decade has inspired many research domains, such as radar signal processing, speech and audio recognition, etc., to apply it to their respective problems.
Fahad Jibrin Abdu +4 more
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Open datasets wanted for tracking the insect decline: let’s start from saproxylic beetles [PDF]
Biodiversity Data Journal, 2021 We present six datasets of saproxylic beetles collected between 2012 and 2018 in Central and Southern Italian forests. Saproxylics represent one of the main components in forest ecosystems in terms of diversity, species richness and functional traits and,
Alessandro Campanaro, Francesco Parisi
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Evaluating prose style transfer with the Bible [PDF]
Royal Society Open Science, 2018 In the prose style transfer task a system, provided with text input and a target prose style, produces output which preserves the meaning of the input text but alters the style.
Keith Carlson +2 more
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