Results 1 to 10 of about 3,337,343 (124)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades [PDF]
, 2015 Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specifically for dataset creation rather than collecting and labelling existing ...
Ajinkya eJayawant +4 more
core +3 more sources
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
doaj +1 more source
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
doaj +1 more source
Emergent Leadership Detection Across Datasets [PDF]
, 2019 Automatic detection of emergent leaders in small groups from nonverbal behaviour is a growing research topic in social signal processing but existing methods were evaluated on single datasets -- an unrealistic assumption for real-world applications in ...
Bulling, Andreas, Müller, Philipp
core +3 more sources