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Dikkat seviyesinin gerçek zamanda izlenmesi; bir web uygulaması
(Altınbaş Üniversitesi, 2017)
Dikkat seviyesinin ölçüldüğü ve izlendiği bu bildiri kapsamında; Emotiv Epoc cihazı ile yapılan ölçümler gerçek zamanlı olarak değerlendirilerek bir web uygulama arayüzü sayesinde geri bildirim alınmıştır. Alınan geri ...
Öncül bilgi tabanlı kan paylaşım sistemi tasarım ve uygulaması
(Altınbaş Üniversitesi, 2018)
Bu tez çalışmasının amacı, kan ihtiyacı olan hasta ve sağlık kuruluşlarının kan gönüllüsü olan donörler ile aralarındaki haberleşmeyi bulut sunucular üzerinden sağlamaktır. En doğru ve hızlı şekilde gönüllülerin paylaştığı ...
Comparision of ant colony and genetic algorithms for the solution of travel salesman problem
(Altınbaş Üniversitesi, 2018)
The Theory of computational complexity is an essential branch of study in the science of theoretical computing and mathematics. The resolution of Polynomial and Non Polynomial problems is one of the main problems that have ...
Cloud authentication based face recognition technique
(Altınbaş Üniversitesi, 2019)
The recognition process for a single face can be completed in relatively less time. However, large scale implementation that involves recognition of several faces would make the procedure a lengthy one. Cloud computing ...
Investigation of epileptic seizure signatures classification in EEG using supervised machine learning algorithms
(International Information and Engineering Technology Association, 2023)
Epilepsy is one of the earnest neurological disorders that require further social attention.
Based on the International League Against Epilepsy (ILAE), which classifies the epilepsy
term as a number of several seizures ...
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 ...
Classification of epileptic seizure features from scalp electrical measurements using KNN and SVM based on fourier transform
(American Institute of Physics Inc., 2022)
Epilepsy classification techniques are one of the areas that are still under searching till now as long as there is no specific method for detection seizures. The brain consists of more than 100 billion nerves that generate ...
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 ...
An expert system to predict eye disorder using deep convolutional neural network
(Academic Platform Journal of Engineering and Science, 2021)
Glaucoma according to the W.H.O is one of the major causes of blindness worldwide. Due to its complexity and silent nature early detection of this disease makes it hard to detect. There have been several techniques over ...
