Konu "deep learning" için Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed listeleme
Toplam kayıt 8, listelenen: 1-8
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COVID-19 Diagnosis with Deep Learning
(Univ Nac Colombia, Fac Ingenieria, 2022)The coronavirus disease 2019 (COVID-19) is fatal and spreading rapidly. Early detection and diagnosis of the COVID-19 infection will prevent rapid spread. This study aims to automatically detect COVID-19 through a chest ... -
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 ... -
Fast building detection using new feature sets derived from a very high-resolution image, digital elevation and surface model
(Taylor and Francis Ltd., 2024)Detecting building rooftops with very high-resolution (VHR) images is an important issue in many fields, including disaster management, urban planning, and climate change research. Buildings with varying geometrical features ... -
An overview memristor based hardware accelerators for deep neural network
(Publisher, 2024)The prevalence of artificial intelligence applications using artificial neural network architectures for functions such as natural language processing, text prediction, object detection, speech, and image recognition has ... -
Pedestrian Inertial Navigation with Multi-Head CNN
(Institute of Electrical and Electronics Engineers Inc., 2023)Traditional pedestrian dead-reckoning (DR) methods utilizing inertial measurement units (IMU) have been successfully employed in GPS-denied environments over the past two decades. However, despite continuous advancements ... -
Pedestrian Inertial Navigation with Multi-Head LSTM Including Attention
(Institute of Electrical and Electronics Engineers Inc., 2023)Despite continuous advancements in algorithms and wearable inertial measurement unit (IMU) technology in the last two decades, inertial navigation systems (INS) cannot be used for long-term pedestrian tracking due to the ... -
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 ...