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Plant leaf disease classification using EfficientNet deep learning model
(Elsevier, 2021)
Most plant diseases show visible symptoms, and the technique which is accepted today is that an experienced plant pathologist diagnoses the disease through optical observation of infected plant leaves. The fact that the ...
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 ...
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 ...
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 ...
Yaprak Sınıflandırmak için Yeni Bir Evrişimli Sinir Ağı Modeli Geliştirilmesi
(Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, 2021)
Doğanın bir parçası olan bitkiler çevremize güzellik katmanın yanı sıra alternatif tıp gibi farklı sebep için de kullanılmaktadır. Bu gibi uzmanlık gerektiren durumlarda halk arasında yayılan yanlış bilgilerle zehirli ...
Akciğer Histopatoloji Görüntülerinden Çıkarılan Derin Özellikleri Kullanan Makine Öğrenmesi Sınıflandırıcıları ile Akciğer Kanseri Tespiti
(Bitlis Eren Üniversitesi, 2021)
Kanser dünyada ve ülkemizde gözlenme sıklığı giderek artan sağlık sorunlarının başında gelmekte ve her yıl milyonlarca insan kanser nedeniyle hayatını kaybetmektedir. Histopatolojik tanı, kanser türünün teşhisinde ve tedavi ...