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Investigation of single trial event related potentials based dynamic time warping using machine learning techniques
(Altınbaş Üniversitesi, 2019)
İnsanda ölçülen beyin elektriksel yanıtla, Elektroensefalogram epokları olarak ölçülmekte ve içinde bulunulan durum ve uyaranlara bağıl olarak frekans ve genlik bağlamında farklılıklar taşımaktadır. Olaya ilişkin potansiyeller ...
Authorship attribution for social media
(Altınbaş Üniversitesi, 2019)
Tarihsel olarak Yazarlık Atıf Teknikleri 1887'de ortaya çıktı, Mendenhall ilk kez yazarın kişiliğini belirtmek için Özellikler Sayma fikrini icat ettiğinde [1]. Metin için Yazarlık Özelliği, bir metnin yazarının diğer ...
Using artificial neural network with comparative analysis of different techniques for the classification of sentiment analysis
(Altınbaş Üniversitesi, 2019)
Duygu Analizi, bir işte ifade edilen olumlu, olumsuz ya da tarafsız görüşü ya da hakem görüşlerini tanımlamak anlamına gelir. Sosyal medyada gözetim hissi değerlendirmesi, müşterilerin sosyal medyalarında belirli bir marka ...
Comparison of various algorithm for intrusion detection in data mining
(Altınbaş Üniversitesi, 2020)
Nesnelerin İnterneti (IoT) cihazları ve hizmetleri, birçok ticari ve kritik görev uygulamasında geniş çaplı büyüme sağlamıştır. Cihazlar ve hizmetler saldırı, saldırı ve kötü amaçlı faaliyetlerden muzdariptir. IoT ağları ...
Hybrid feature selection framework for the parkinson imbalanced dataset prediction problem
(MDPI, 2021)
Background and Objectives: Recently, many studies have focused on the early detection of
Parkinson’s disease (PD). This disease belongs to a group of neurological problems that immediately
affect brain cells and influence ...
A novel feature to predict buggy changes in a software system
(Springer, 2021)
Researchers have successfully implemented machine learning classifiers to predict bugs in a change file for years. Change classification focuses on determining if a new software change is clean or buggy. In the literature, ...
Methodology preview on predicting students professional identity using data mining techniques
(Association for Computing Machinery, 2018)
This methodology aimed to predict Professional Identity Development (PID) of Altinbas University students using survey called Professional Identity Five Factor Scale(PIFFS) which will be applied to sample of the students ...
Provide a new framework for blockchain‑based integrated and resource classifcation for the cloud
(Applied Nanoscience, 2022)
The internet of things paradigm is growing rapidly. In fact, controlling this massive growth of Cloud globally raises new security and privacy issues. The traditional resource classifcation mechanisms provide security to ...
Feature selection for diagnose coronavirus (COVID‑19) disease by neural network and Caledonian crow learning algorithm
(Applied Nanoscience, 2022)
In this study, feature selection methods based on the new Caledonian crow learning algorithm has been introduced. In the proposed algorithms, in the frst stage, the best features related to COVID-19 disease are selected ...
Provide a new framework for blockchain‑based integrated and resource classifcation for the cloud
(Applied Nanoscience, 2022)
The internet of things paradigm is growing rapidly. In fact, controlling this massive growth of Cloud globally raises new
security and privacy issues. The traditional resource classifcation mechanisms provide security to ...
