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Toplam kayıt 33, listelenen: 11-20
Forecasting Models For Covid-19 Cases of Turkey Using Artificial Neural Networks and Deep Learning
(TMMOB Makina Mühendisleri Odası, 2020)
Governments face a dilemma between public health and the economy while making strategic decisions
on health during a pandemic outbreak. It is of great importance to forecast the number of cases in terms
of strategic ...
A Multistage Cutting Tool Fault Diagnosis Algorithm for the Involute form Cutter Using Cutting Force and Vibration Signals Spectrum Imaging and Convolutional Neural Networks
(Springer, 2021)
In a machining system, tool condition monitoring systems are required to get a high-quality product and to prevent the downtime of machine tools due to tool failures. For this purpose, tool condition monitoring systems ...
CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations
(Oxford Academic, 2021)
Systemic analysis of available large-scale biological/biomedical data is critical for studying biological mechanisms, and developing novel and effective treatment approaches against diseases. However, different layers of ...
Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM
(Elsevier, 2021)
Objectives: Middle ear inflammatory diseases are global health problem that can have serious consequences such as hearing loss and speech disorders. The high cost of medical devices such as oto-endoscope and oto-microscope ...
Deep Learning with ConvNet Predicts Imagery Tasks Through EEG
(Springer, 2021)
Deep learning with convolutional neural networks (ConvNets) has dramatically improved the learning capabilities of computer vision applications just through considering raw data without any prior feature extraction. Nowadays, ...
Automated detection of Covid-19 disease using deep fused features from chest radiography images
(Elsevier, 2021)
The health systems of many countries are desperate in the face of Covid-19, which has become a pandemic worldwide and caused the death of hundreds of thousands of people. In order to keep Covid-19, which has a very high ...
Evrişimli sinir ağı kullanılarak yaprak resimlerinin sınıflandırılması
(İskenderun Teknik Üniversitesi / Mühendislik ve Fen Bilimleri Enstitüsü / Bilgisayar Mühendisliği Ana Bilim Dalı, 2021)
Çevremizde bulunan birçok bitki hakkında bilgi sahibi değiliz, yararları ve zararları konusunda halk arasındaki bilgilerle hareket etmekteyiz. Bu gibi durumlarda zehirli olmasına rağmen şifalı olarak bilinen bitkilerin ...
Adaptif yöntemlerle iyileştirilmiş göğüs röntgenlerinden derin öğrenme ile COVID-19 tespiti
(İskenderun Teknik Üniversitesi / Lisansüstü Eğitim Enstitüsü / Bilgisayar Mühendisliği Ana Bilim Dalı, 2021)
Derin Öğrenme (DL), günümüzde en popüler Makine Öğrenme (ML) algoritmasıdır, Medikal Görüntü işleme alanında sınıflandırmadaki yüksek performansı sayesinde gün geçtikçe kullanımı yaygınlaşmaktadır. Derin Öğrenme bir sinir ...
Drug-resistant Staphylococcus aureus bacteria detection by combining surface-enhanced Raman spectroscopy (SERS) and deep learning techniques
(Nature Research, 2021)
Over the past year, the world's attention has focused on combating COVID-19 disease, but the other threat waiting at the door-antimicrobial resistance should not be forgotten. Although making the diagnosis rapidly and ...
Analyze Performance of Embedded Systems with Machine Learning Algorithms
(Springer, 2021)
This article aims to analyze the performance of embedded systems using various machine learning algorithms on embedded systems. For this, data set were analyzed using Python programming language and related libraries. Using ...