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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. ...
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 ...
Adaptive second order sliding mode guidance law for missile-target interception with fuzzy logic system
(SAGE Publications, 2023)
This paper presents the design of a 3D missile guidance law based on a second order sliding mode control technique employing an adaptive tuning law and a fuzzy gain scheduling. At the outset, the super-twisting sliding ...
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 ...
Fibonacci Collocation Method for Solving a Class of Nonlinear Di erential Equations
(Mathematicians AssociationMatematikçiler Derneği, 2023)
In this study, a collocation method based on Fibonacci polynomials is used for approximately solving a class of nonlinear differential equations with initial conditions. The problem is firstly reduced into a nonlinear ...
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, ...
Gish: a novel activation function for image classification
(Springer, 2023)
In Convolutional Neural Networks (CNNs), the selection and use of appropriate activation functions is of critical importance. It has been seen that the Rectified Linear Unit (ReLU) is widely used in many CNN models. Looking ...
Trainable Self-Guided Filter for Multi-Focus Image Fusion
(Institute of Electrical and Electronics Engineers Inc., 2023)
Cameras are limited in their ability to capture all-in-focus images due to their limited depth of field. This results in blurriness for objects too far in front of or behind the focused point. To overcome this limitation, ...