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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 ...
A new framework for defect detection using hybird machine learning techniques
(Institute of Electrical and Electronics Engineers Inc., 2022)
In this study, some logs obtained with the Firewall Device are classified using multiclass support vector machine (SVM) classifier optimized by grid search algorithm. The presented method was compared with various data ...
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 ...
Covid-19 X-ray image classification using SVM based on Local Binary Pattern
(IEEE, 2021)
Coronavirus usually transmits from the animal
to the human, but now, the virus transmission is between
persons. Therefore, scientists and researchers are trying to
develop several types of machine learning methods to ...
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, ...
A hybrid deep learning based framework for stock market prediction
(Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2022)
It is seen that researchers concentrate on studies related to the estimation of the direction of
movement of various financial instruments by using time series and machine learning
methodologies. Both academic researchers ...
Early detection of diabetic retinopathy based artificial intelligent techniques
(Institute of Advanced Engineering and Science, 2022)
The eye is impacted by several disorders, either directly or indirectly. As a result, eye exams are a crucial component of general healthcare. One of the effects of diabetes is diabetic retinopathy (DR), which affects the ...
Designing and evaluating cyber security threats detection using machine learning
(Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2022)
The aim of this master’s thesis is to classify the cyber security using machine learning based
Support Vector Machine (SVM) algorithm and designing a resilient attack-free network for
users. Consumer cyber security ...
Machine learning algorithms for URLs classification
(Institute of Electrical and Electronics Engineers Inc., 2022)
Phishing is a technique used to collect sensitive data from a user (password or credit card information) for future misuse by posing as a trustworthy source. It often takes advantage of the user's gullibility in ways that ...
Malware detection in AdHoc e-government network using machine learning
(Institute of Electrical and Electronics Engineers Inc., 2023)
Malware developers have been kept tremendously busy in recent years due to the increasing use of the Android operating system in e-government operations. Significant numbers of virus developers have as their primary purpose ...
