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Toplam kayıt 22, listelenen: 1-10
A model based on random walk with restart to predict circRNA-disease associations on heterogeneous network
(Association for Computing Machinery, 2019)
Recent studies show that circRNAs have critical roles in many biological processes. Knowing the associations between circRNAs and diseases may contribute to the understanding of the mechanism of circRNAs and to the diagnostic ...
Recent trends in emotion analysis: A big data analysis perspective
(IEEE-Institute of Electrical and Electronics Engineers, 2020)
Human action recognition has recently started to find its way into applications in different applications. Accordingly, human action recognition methods are becoming increasingly important in our daily life. They are used ...
Transfer learning through weighted loss function and group normalization for vessel segmentation from retinal images
(Institute of Electrical and Electronics Engineers Inc., 2021)
The vascular structure of blood vessels is important in diagnosing retinal conditions such as glaucoma and diabetic retinopathy. Accurate segmentation of these vessels can help in detecting retinal objects such as the optic ...
A multi-modal emotion recognition system based on CNN-transformer deep learning technique
(Institute of Electrical and Electronics Engineers Inc., 2022)
Emotion analysis is a subject that researchers from various fields have been working on for a long time. Different emotion detection methods have been developed for text, audio, photography, and video domains. Automated ...
Utilizing digitized surveys for data collection: The case of developing countries
(Springer Science and Business Media Deutschland GmbH, 2021)
A major concern for public and private organizations worldwide is to ensure that its constituents are healthy. However, the degree to which this is ensured differ from country to country and even from community/individual ...
Detecting spam tweets using machine learning and effective preprocessing
(Association for Computing Machinery, Inc, 2021)
Nowadays, with the rapid increase in popularity of online social networks (OSNs), these platforms are realized as ideal places for spammers. Unfortunately, these spammers can easily publish malicious content, advertise ...
Predictions of drug metabolism pathways through CYP 3A4 enzyme by analysing drug-target interactions network graph
(Association for Computing Machinery, Inc., 2021)
The available data of drugs and their targets has increased widely in recent years. Far from the traditional way of studying the drug-target interactions, we propose a network-based computational method to identify new ...
Hot topic detection and evaluation of multi-relation effects
(Association for Computing Machinery, Inc, 2021)
With the growth of social media, Twitter has become one of the most popularly used microblogging communication platforms between people. Due to the wide preference of Twitter, popular issues in public, events like local ...
Automation of active reconnaissance phase: An automated API-based port and vulnerability scanner
(Association for Computing Machinery, Inc, 2021)
The unprecedented growth in technology has increased the importance of the required information security that is still hard to be reached. Recently, network and web application attacks have occurred frequently, causing ...
H-OCS: A hybrid optic cup segmentation of retinal images
(Springer Science and Business Media Deutschland GmbH, 2021)
Glaucoma is the second leading cause of irreversible vision loss. Early diagnosis and treatment can, however, slow the progression of the disease. Specialists making this diagnosis rely on several tests and examinations ...