Bilgisayar Mühendisliği Bölümü Koleksiyonu
Recent Submissions
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A systematic literature review of blockchain technology
(International Association of Online Engineering, 2022)The Blockchain technology moves data nodes and data streams from one informatics center to another based on the importance of Bitcoins, resulting in a dedicated, public, and secure network for interpretation and development ... -
A bidirectional LSTM-RNN and GRU method to exon prediction using splice-site mapping
(2022)Deep Learning techniques (DL) significantly improved the accuracy of predictions and classifications of deoxyribonucleic acid (DNA). On the other hand, identifying and predicting splice sites in eukaryotes is difficult due ... -
Effects of acidic beverages on color stability of bulk-fill composites with different viscosities
(2022)The aim of this in vitro study is to investigate the effects of acidic beverages on the discoloration of bulk-fill composites with different viscosities. 144 disc-shaped specimens (8mm diameter × 2mm thick) were prepared ... -
Stereo vision development for high performance on stereo systems
(2022)Stereo vision applications and systems are being grown common and widespread, especially with technological advancement. These systems and applications are widely applied in multiple fields and areas including autonomous ... -
YOLO-V3 based real-time drone detection algorithm
(Multimedia Tools and Applications, 2022)Drones are currently being used in a wide range of useful tasks that are too dangerous or/and expensive to be performed by humans. However, this is increasingly developing security breaching issues due to the possibility ... -
Hybrid deep learning model for automatic fake news detection
(Applied Nanoscience, 2022)With the fast advancement in digital news, fake news has already caused grave threats to the public’s actual judgment and credibility, in specifc, with the wide use of social networking platforms, which provide a rich ... -
Quality of service system that is self-updating by intrusion detection systems using reinforcement learning
(Applied Nanoscience, 2022)Machine learning techniques are widely used in many areas and have also been used in intrusion detection systems (IDS) to identify hard-to-recognize patterns that can distinguish benign trafc from attack. However, these ... -
A survey on intrusion detection system in ad hoc networks based on machine learning
(IEEE, 2021)This advanced research survey aims to perform intrusion detection and routing in ad hoc networks in wireless MANET networks using machine learning techniques. The MANETs are composed of several ad-hoc nodes that ... -
A fuzzy quality model to measure the maintainability of microservice architectures
(2021)Microservice architecture (MSA) is a type of software and systems architecture that is based on the modularization principle. It proposes designing systems employing small-scaled, loosely coupled, and independently deployable ... -
Feature selection for diagnose coronavirus (COVID‑19) disease by neural network and Caledonian crow learning algorithm
(Applied Nanoscience, 2021)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 ... -
Passive islanding detection in microgrids using artifcial neural networks
(Applied Nanoscience, 2022)This research focuses on modeling and simulating voltage control of passive islanding detections with distributed generation. This research presents how reactive power generation and/or absorption can be utilized to partake ... -
Parameter optimization for hovering multi‑rotor drones‑based free‑space optical links
(Applied Nanoscience, 2021)Multi-rotor (MR) Drones have recently emerged as a viable method for creating fexible free-space optical (FSO) connections. In this study, we look at how precise parameters optimization can be used to evaluate the benefts ... -
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 ... -
Car-like robot path planning based on voronoi and Q-learning algorithms
(ICEET, 2021)This paper discusses a differential path planning issue for the mobile robot depending on Voronoi diagram (VD) and Q-learning algorithms (QL). The issues with re-arranging paths in a dynamic environment with obstructions ... -
Decision support system for operational, financial, performance and risk indicators of maturity models over cloud-based software
(IEEE, 2021)The safe continuation of ordinary and critical processes defined in information systems and the operational, financial and security management of hardware and services that change with their priorities require dynamic ... -
A compact coplanar waveguide fed UWB antenna for energy harvesting applications
(IEEE, 2021)A new monopole antenna design fed by the Coplanar Wave Guide (CPW) is proposed for energy harvesting applications using FR4 substrate. The antenna presented here functions with an impedance bandwidth of 10 GHz from 3.27 ... -
Observed shape detection from EEG time series
(ULAKBİM, 2021)Brain computer interface studies required recording of a physiological response of a subject to exhibit relevant information. This extracted information can be used to perform an action and the amount of the information plays ... -
Passive islanding detection in microgrids using artifcial neural networks
(Applied Nanoscience, 2022)This research focuses on modeling and simulating voltage control of passive islanding detections with distributed generation. This research presents how reactive power generation and/or absorption can be utilized to partake ... -
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 ...
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