Başlık için Bilgisayar Mühendisliği listeleme
Toplam kayıt 90, listelenen: 66-85
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Off-the-Shelf Connectors for Interdisciplinary Components
(IOS Press, 2019)Introduction: Solutions based on software components, especially for heterogeneous constituents such as those pertaining to different disciplines suffer the interoperability burden. Adaptor technologies have been introduced ... -
Orthogonal Extreme Learning Machine Based P300 Visual Event-Related BCI
(Springer, 2015)Brain Computer Interface (BCI) is a type of human-computer relationship research that directly translates electrical activity of brain into commands that can rule equipment and create novel communication channel for muscular ... -
Palladium nanoparticles functionalized graphene quantum dots with molecularly imprinted polymer for electrochemical analysis of citrinin
(Elsevier, 2017)Citrinin (CIT) is mutagenic and resistant to decomposition. In addition, it is founded in many foods and causes the significant diseases in human body. In this report, an imprinted electrochemical surface based on glassy ... -
Parameter Selection in Elliptical Fourier Series for Leaf Classification
(Dokuz Eylül Üniversitesi, 2022)Elliptical Fourier series method is a relatively old but powerful method in contour analysis. We have previously implemented this method as a module for a computer program called “BioMorph”. There are two significant ... -
Performance Analysis of CNN Channel Attention Modules for Image Classification Task
(Çukurova Üniversitesi, 2023)ncreasing the representation power of convolutional neural networks, a popular deep learning model, is one of the hot study topics recently. Channel attention is a common strategy followed in this regard. In this strategy, ... -
Performance Comparision of Different Momentum Techniques on Deep Reinforcement Learning
(Institute of Electrical and Electronics Engineers Inc., 2017)Increase in popularity of deep convolutional neural networks in many different areas leads to increase in the use of these networks in reinforcement learning. Training a huge deep neural network structure by using simple ... -
PID sliding surface-based adaptive dynamic second-order fault-tolerant sliding mode control design and experimental application to an electromechanical system
(Taylor and Francis, 2021)In this paper, an adaptive dynamic PID sliding surface-based second-order fault-tolerant sliding mode controller for speed control of an electromechanical system is proposed. The paper aims to show how to utilise the robust ... -
Position resolution study at high energies of a sampling electromagnetic calorimeter whose active material is a scintillator with Peroxide-cured polysiloxane base
(Elsevier, 2020)This study is based on the simulation for the position resolution performances of a sampling electromagnetic calorimeter with a Peroxide-cured polysiloxane based scintillator as an active material. Various algorithms and ... -
Prediction of Li-Ion Battery Discharge Patterns in IoT Devices Under Random Use Via Machine Learning Algorithms
(Oxford University Press, 2022)This study presents foreseeing of the Lithium-ion battery discharge models for the Internet of Things (IoT) devices under randomized use patterns. IoT systems run in harmony with the human-machine interface, communication ... -
Q Learning Regression Neural Network
(Neural Network World, 2018)In this work, a Nadaraya-Watson kernel based learning system which owns general regression neural network topology is adapted to Q learning method to evaluate a quick and efficient action selection policy for reinforcement ... -
A Real-Time Parallel Image Processing Approach on Regular PCs with Multi-Core CPUs
(Kauno Technologijos Universitetas, 2017)In this paper a parallel image processing and frame rate stabilization approach is proposed. This approach works on a regular PC with a multi-core CPU. It is implemented under. NET Framework and tested on Microsoft Windows ... -
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
(Oxford Univ Press, 2019)The identification of interactions between drugs/compounds and their targets is crucial for the development of new drugs. In vitro screening experiments (i.e. bioassays) are frequently used for this purpose; however, ... -
Region contrastive camera localization
(Elsevier, 2023)Visual camera localization is a well-studied computer vision problem and has many applications. Recently, deep convolutional neural networks have begun to be utilized to solve six-degree-of-freedom (6-DoF) camera pose ... -
Second-order sliding mode control design and experimental application to a servo motor
(Institute of Electrical and Electronics Engineers Inc., 2017)In this study, first-order and second-order sliding mode speed controller for the Precision Modular Servo (PMS) setup produced by Feedback Instruments is proposed. The second-order sliding mode controller which permits ... -
SecureDeepNet-IoT: A deep learning application for invasion detection in industrial Internet of Things sensing systems
(Wiley, 2021)Deep learning (DL) is a special field of artificial intelligence that has increased its use in various fields and has proved its effectiveness in classification. The feasibility of using many hidden layers and many neurons ... -
Sentiment Analysis in Turkish Question Answering Systems: An Application of Human-Robot Interaction
(Institute of Electrical and Electronics Engineers Inc., 2023)The use of the sentiment analysis technique, which aims to extract emotions and thoughts from texts, has become a remarkable research topic today, where the importance of human-robot interaction is gradually increasing. ... -
Sliding Mode Control Design and Experimental Application to an Electromechanical Plant
(Institute of Electrical and Electronics Engineers Inc., 2016)In recent years, sliding mode control has become a preferred because of its convenience and robustness. And sliding mode control techniques have been commonly employed in a various applications. In this study, the Precision ... -
Smart Robot Arm Motion Using Computer Vision
(Kaunas University of Technology, 2015)In this study computer vision and robot arm are used together to design a smart robot arm system which can identify objects from images automatically and perform given tasks. A serving robot application, in which specific ... -
A solution method for integro-differential equations of conformable fractional derivative
(Vinca Inst Nuclear Scı, 2018)The aim of this work is to determine an approximate solution of a fractional order Volterra-Fredholm integro-differential equation using by the Sinc-collocation method. Conformable derivative is considered for the fractional ... -
A survey on digital video stabilization
(Springer, 2023)Shakes and jitters are an eventual result of involuntary camera movements during video recording. Digital video stabilization is the elimination of these errors with smart algorithms. This process is usually performed in ...