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Drug target interaction prediction using artificial intelligence
(Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2021)
The aim of this research is to develop a system for drug target interaction prediction using
artificial intelligence which involves development of both machine learning and deep learningbased systems. In this paper, we ...
Intrusion detection system through deep learning in routing manet networks
(Tech Science Press, 2023)
Deep learning (DL) is a subdivision of machine learning (ML) that employs numerous algorithms, each of which provides various explanations of the data it consumes; mobile ad-hoc networks (MANET) are growing in prominence. ...
Classification of brain tumors using MRI images based on convolutional neural network and supervised machine learning algorithms
(Institute of Electrical and Electronics Engineers Inc., 2022)
Brain tumor is abnormal cells that originate from cranial tissue and is considered one of the most destructive diseases, and lead to the cause of death, where the early diagnosis is crucial for accelerating the therapy of ...
Deep transfer learning methods for classification colorectal cancer based on histology images
(Institute of Electrical and Electronics Engineers Inc., 2022)
Deep transfer learning is one of the common techniques used to classify different types of cancer. The goal of this research is to focus on and adopt a fast, accurate, suitable, and reliable for classification of colorectal ...
Human identification with finger vien image using deep learning
(IEEE, 2021)
The technical term for body measurements and
estimates is called biometrics. It refers to metrics related to
human characteristics. Biometrics classification is using in
computer science as a form of identification and ...
Robot localization in RGB-D images using PCA and CNN
(IEEE, 2021)
Human beings have always used the resources at
their disposal as tools to help carry out tasks in the most
effective, fast and safe way. As technology advances, these tools
are being used in increasingly complex machinery ...
Evaluation of deep transfer learning methodologies on the COVID-19 radiographic chest images
(International Information and Engineering Technology Association, 2023)
In 2019, the world had been attacked with a severe situation by the new version of the SARSCOV- 2 virus, which is later called COVID-19. One can use artificial intelligence techniques to reduce time consumption and find ...
Using deep learning based classification algorithm to detect faults in turbine engines
(Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2022)
Despite the recent rise in the popularity of machine learning, researchers have barely
scratched the surface of the potential of a hybrid model for defect identification and diagnosis
leveraging artificial neural networks. ...
Detection and classification of skin lesion based neural networks
(IEEE, 2021)
Skin cancers emerge from the skin due to the
growth of untypical cells that dispersal to other parts of the
body. Through early detection, very high success rates can be
achieved in treating most cases of skin cancer, ...
Deep learning based COVID-19 detection via hard voting ensemble method
(Springer, 2023)
Healthcare systems throughout the world are under a great deal of strain because to the continuing COVID-19 epidemic, making early and precise diagnosis critical for limiting the virus’s propagation and efficiently treating ...
