This is an advanced object detection system with YOLOv7 model, implemented for UAV surveillance as outlined in the article. By integrating the system with Roboflow serving as its database manager and data augmentation...
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For the two-phase flow problem in porous media, many researchers have conducted in-depth studies on the sequential solution format. These studies mainly use topological sorting algorithms to determine the solution ord...
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The construction industry plays a pivotal role in global infrastructure development;however, it faces challenges related to efficiency, safety, and environmental impact. The advent of robotics and automation has opene...
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Object detection is faced with accuracy and robustness limitations due to unstructured environments with objects of different sizes and occlusions. Despite advancements in object detection models, these models have no...
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This work aims at exploring the effectiveness of implementing GNNs in order to enhance the interoperability in virtual and augmented reality systems. The solution that we proposed adopts a complex GNN model to analyze...
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The proliferation of fake goods has had a significant effect on the industrial sector in recent years. According to the research, the number of occurrences involving bogus products has increased recently, which is hur...
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This paper presents a study on improving night-time vehicle detection in the Mirpur region through a modified neural network model. Given the challenges of low visibility at night, the research focused on optimizing a...
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The safety critical applications of GNSS such as aviation stages of flight, approach and landing demand high requirements to positioning accuracy, integrity and risks associated with. The algorithmic bases of existing...
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The realization of train-to-train (T2T) communication in 5G-R systems can effectively reduce the communication delay of trains and improve the safety and efficiency of train operation, but in this communication proces...
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In the rapidly evolving aerospace industry, AI plays a pivotal role in optimizing aircraft manufacturing processes to meet increasing demands for performance, sustainability, and cost efficiency. This study conducts a...
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