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DL-EDOF: Novel Multi-Focus Image Data Set and Deep Learning-Based Approach for More Accurate and Specimen-Free Extended Depth of Focus
(Springer Nature, 25.03.2024)Depth of focus (DOF) is defined as the axial range in which the specimen stage moves without losing focus while the imaging apparatus remains stable. It may not be possible to capture an image that includes the entire ... -
Detection of pneumonia from pediatric chest X-ray images by transfer learning
(YILDIZ TECHNICAL UNIV, 2024)When pathogens such as viruses, bacteria and fungi attack the lungs, the alveoli fill with inflamed fluid, causing pneumonia. Early diagnosis of this disease, which has fatal outcomes especially in children under 5 years ... -
A Hybrid CNN-LSTM Framework for Unsupervised Anomaly Detection in Water Distribution Plant
(Institute of Electrical and Electronics Engineers Inc., 2023)To reduce potential threats to public health and economic losses, water distribution systems, which are critical parts of industrial control systems, require accurate and effective anomaly detection. The successful ... -
An Efficient 1D Autoencoder-Based Approach for R-Peaks Detection in Electrocardiogram Signals
(Institute of Electrical and Electronics Engineers Inc., 2023)Electrocardiogram (ECG) signal which is composition of multiple segments such as P-wave, QRS complex and T-wave plays a crucial role in evaluating human heart cardiac diagnosis. For an analysis of cardiac diagnosis, it is ... -
Kontrastli Mamografi Görüntülerinde Kitlelerin Şekil ve Birinci Dereceden Istatistiksel Özniteliklere Dayali Siniflandirmasi
(Institute of Electrical and Electronics Engineers Inc., 2023)Mammography is a valuable tool in the diagnosis and staging of primary breast cancer. Contrast-enhanced mammography (CEM) combines an iodinated contrast agent with traditional mammography to increase diagnostic accuracy, ... -
Anomaly Detection in Predicted Water Treatment Data using Hybrid CNN-LSTM Network Model
(IEEE, 2023)Water treatment systems are among the industrial control systems where it is essential to detect anomalies accurately and efficiently due to the potential threat to public health. With advances in computer science, machine ... -
Alert Results Shape of Masses in Contrast Mammography Images and First Order Statistical Features Classification Based on 5 of 11 Shape of Masses in Contrast Mammography Images and First Order Statistical Features Classification Based on
(IEEE, 2023)Mammography is a valuable tool in the diagnosis and staging of primary breast cancer. Contrast-enhanced mammography (CEM) combines an iodinated contrast agent with traditional mammography to increase diagnostic accuracy, ... -
Deep Learning Based Focus Measurement Operator for 3D Imaging in Microscopic Systems
(IEEE, 2023)Since 3D imaging in microscopic systems makes cell and tissue structures more prominent and visible, it provides higher performance in image processing applications such as automatic segmentation, recognition, classification, ... -
An Extensive Study: Creation of A New Inverted Microscope Image Data Set and Improving Auto-Encoder Models for Higher Accuracy Segmentation of HaCaT Cell Culture Line
(Institute of Electrical and Electronics Engineers Inc., 2023)In cell culture investigations, it is assumed that the number of cells is counted automatically without the need for forward planning, additional tools, or consumables. The automatic cell counting process is greatly ... -
Comparison of online and face-to-face exams conducted in Physics I course in higher education
(Murat Yakar, 2023)The coronavirus pandemic has affected most fields, including education, and most lessons have had to be conducted as distance education. In this study, it is aimed to compare student success in face-to-face exams with that ... -
Performance Evaluation of Quantum-Resistant TLS for Consumer IoT Devices
(IEEE, 2023)Post-quantum (PQ) cryptographic algorithms are currently being developed to be able to resist attacks by quantum computers. The practical use of these algorithms for securing networks will depend on their computational and ... -
A Comprehensive Review of Computer-based Techniques for R-Peaks/QRS Complex Detection in ECG Signal
(Springer Science and Business Media B.V., 2023)Electrocardiogram (ECG) signal, which is composite of multiple segments such as P-wave, QRS complex and T-wave, plays a crucial role in the treatment of cardiovascular disease. For an analysis of cardiac diagnosis, it is ... -
Segmentation of Pectoral Muscle Region in MLO Mammography Images by Backboned U-Net [Mamografi Görüntülülerindeki Pektoral Kas Bölgesinin Omurgali U-Net ile Bölütlenmesi]
(Institute of Electrical and Electronics Engineers Inc., 2022)The pectoral muscle region on MLO mammography images appears prominently similar to suspicious areas. For this reason, Computer-Aided Detection (CAD) systems remove this region to reduce false-positive rates in the mass ... -
Pneumonia Detection from Pediatric Lung X-Ray Images with Convolutional Neural Network Method
(IEEE, 2021)Pneumonia can be cause diseases such as cough, fever and respiratory problems and to death in the progressive situations. Mostly lung x-ray images are used for diagnosis of pneumonia. In this study, an unique convolutional ... -
Performance Evaluation of TLS 1.3 Handshake on Resource-Constrained Devices Using NIST's Third Round Post-Quantum Key Encapsulation Mechanisms and Digital Signatures
(Institute of Electrical and Electronics Engineers Inc, 2022)Towards the end of the 20. century, quantum computing came into sight by the main effect of Shor's Algorithm. While this algorithm offers a solution for the factorization problem, which makes it exponentially faster, it ... -
Robust copy-move detection in digital audio forensics based on pitch and modified discrete cosine transform
(SPRINGER, 2022)Copy-move forgery is one of the most widely used methods in the field of audio forensic because it is difficult to detect and convenient to apply. However, post-processing operations applied to forged speech to hide traces ... -
Orman Kaynaklarının Planlanmasında Konumsal Yapının Kontrolü: Kızıldağ Planlama Birimi Örneği
(Orman ve Su İşleri Bakanlığı, 2013)Orman amenajman planlarının arazide uygulanabilir şekilde düzenlenebilmesi için silvikültürel müdahalelerin şekil, büyüklük ve coğrafi dağılımı gibi konumsal özelliklerin modellenmesi ve planlara yansıtılması gerekmektedir. ... -
Denizli-Honaz Planlama Birimi Orman Amenajman Planının Etçap Karar Destek Sistemleri (Modelleme) İle Hazırlanması
(Kahramanmaraş Üniversitesi, 2011)Bilişim teknolojilerive karar destek sistemleri kulanılarak günümüzde daha etkil orman amenajman planları düzenlenmektedir. Ancak verilen kararlar sonucunda oluşan üretim düzeneğinin rasyoneliği ve ormanın sunduğu ürün ve ... -
Stereo Kamera Kullanarak 3B Avuçiçi Poz Kestirimi
(IEEE, 2013)Avuç içi tanıma sistemleri ile ilgili yapılan çalışmalar yüksek başarım oranlarına ulaşmasına rağmen temaslı olan sistemlerde hijyen, temassız olanlar da ise elin poz değişimlerinden kaynaklanan sorunlarla karşılaşılmıştır. ... -
Real Time 3D Palmprint Pose Estimation and Feature Extraction Using Multiple View Geometry Techniques
(Gümüşhane Üniversitesi, 2012)In this paper, it was aimed to develop a system that works in real time for to obtain palmprint pose (point of view) of a fully opened hand towards the camera. This system will be both a platform independent model ...
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