Konu "Machine learning" için Mühendislik Fakültesi / Faculty of Engineering listeleme
Toplam kayıt 9, listelenen: 1-9
-
Automated Temporal Lobe Epilepsy And Psychogenic Nonepileptic Seizure Patient Discrimination From Multichannel EEG Recordings Using DWT Based Analysis
(2022)Psychogenic nonepileptic seizure (PNES) and epileptic seizure resemble each other, behaviorally. This similarity causes misdiagnosis of PNES and epilepsy patients, thus patients suffering from PNES may be treated with ... -
Classification of Human Movements by Using Kinect Sensor
(2023)In recent years, studies have been carried out to classify human movements in many areas such as health and safety. To classify human movements, image processing methods have also started to be used in recent years. With ... -
Comparison of Different Machine Learning Approaches to Detect Femoral Neck Fractures in X-Ray Images
(2021)Femoral neck fractures are a serious health problem, especially in the elderly population. Misdiagnosis leads to improper treatment and adversely affects the quality of life of the patients. On the other hand, when looking ... -
Detection of multiple sclerosis from photic stimulation EEG signals
(2021)Background: Multiple Sclerosis (MS) is characterized as a chronic, autoimmune and inflammatory disease of the central nervous system. Early diagnosis of MS is of great importance for the treatment and course of the disease. ... -
Feature selection and multiple classifier fusion using genetic algorithms in intrusion detection systems
(2018)With the improvements in information systems, intrusion detection systems (IDS) become more important. IDS can be thought as a classification problem. An important step of classification applications is feature selection ... -
A Machine Learning Based Approach to Detect Survival of Heart Failure Patients
(2020)One of the diseases with high prevalence among the consequences of cardiovascular diseases is heart failure. Heart failure is a condition in which the muscles in the heart wall become faded and dilated, limiting the heart's ... -
Multiclass Classification of Brain Cancer with Machine Learning Algorithms
(2020)Brain cancer is one the most important disease to be treated all around the world. Classification of brain cancer using machine learning techniques has been widely studied by researchers. Microarray gene expression data ... -
A novel electroencephalography based approach for Alzheimer's disease and mild cognitive impairment detection
(2021)Background and objective: Alzheimer's disease (AD) is characterized by cognitive, behavioral and intellectual deficits. The term mild cognitive impairment (MCI) is used to describe individuals whose cognitive impairment ... -
Prediction of Frailty Grade Using Machine Learning Models
(2022)Nowadays, frailty is becoming a major issue for the aging population. Frailty grading is important for patient quality of life because it is a geriatric syndrome of decreased physiological reserve that leads to increased ...