ChatGPT is a language model that has been developed by Open AI. It has the ability to answer any question raised by a participant in a form of conservation. ChatGPT takes advantages of the effective transformers archi...
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This article focuses on experimentally validating techniques for analyzing red-green-blue (RGB) datasets in infrastructure inspections carried out by Distribution System Operators (DSOs). Given the increasing demand f...
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This paper proposes a novel approach that combines the YOLOv8 object detection model with the Dark Channel Prior (DCP) algorithm to improve car license plate detection in foggy weather conditions. The proposed approac...
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Fetal development needs to be carried out to determine the condition of the fetus in pregnant women. Detection of fetal development can be done using a medical tool called Ultrasonography (USG). Ultrasound images prod...
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This paper presents an innovative approach to optimize drone performance by using extremum-seeking adaptive controllers. By utilizing the dynamic capabilities of these controllers, we present a new method to improve t...
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In recent years, large language models (LLMs) have gained significant traction across various domains, including education. This paper explores the application of LLMs in grading programming assignments. By leveraging...
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The main idea of this work is to bring together and study people's attempts to create fully or partially autonomous marine transport, which will be possible to use in transportation tasks, and then, using the anal...
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In recent years, there has been a growing interest in Speech Emotion Recognition (SER) due to its wide-ranging applications. To enhance the accuracy of emotion recognition systems, this paper employs a combination of ...
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Industrial control systems (ICS) allow a high level of automation of industrial processes, which, in its turn, results in their higher efficiency and lower cost [1]. ICS are core components in many industrial setups, ...
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Transformer models have emerged as dominant networks for various tasks in computer vision compared to Convolutional Neural Networks(CNNs).The transformers demonstrate the ability to model long-range dependencies by ut...
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Transformer models have emerged as dominant networks for various tasks in computer vision compared to Convolutional Neural Networks(CNNs).The transformers demonstrate the ability to model long-range dependencies by utilizing a self-attention *** study aims to provide a comprehensive survey of recent transformerbased approaches in image and video applications,as well as diffusion *** begin by discussing existing surveys of vision transformers and comparing them to this ***,we review the main components of a vanilla transformer network,including the self-attention mechanism,feed-forward network,position encoding,*** the main part of this survey,we review recent transformer-based models in three categories:Transformer for downstream tasks,Vision Transformer for Generation,and Vision Transformer for *** also provide a comprehensive overview of recent transformer models for video tasks and diffusion *** compare the performance of various hierarchical transformer networks for multiple tasks on popular benchmark ***,we explore some future research directions to further improve the field.
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