In the analysis of drone aerial images, object detection tasks are particularly challenging, especially in the presence of complex terrain structures, extreme differences in target sizes, suboptimal shooting angles, a...
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In the analysis of drone aerial images, object detection tasks are particularly challenging, especially in the presence of complex terrain structures, extreme differences in target sizes, suboptimal shooting angles, and varying lighting conditions, all of which exacerbate the difficulty of recognition. In recent years, the DETR model based on the Transformer architecture has eliminated traditional post-processing steps such as NMS(Non-Maximum Suppression), thereby simplifying the object detection process and improving detection accuracy, which has garnered widespread attention in the academic community. However, DETR has limitations such as slow training convergence, difficulty in query optimization, and high computational costs, which hinder its application in practical fields. To address these issues, this paper proposes a new object detection model called OptiDETR. This model first employs a more efficient hybrid encoder to replace the traditional Transformer encoder. The new encoder significantly enhances feature processing capabilities through internal and cross-scale feature interaction and fusion logic. Secondly, an IoU (Intersection over Union) aware query selection mechanism is introduced. This mechanism adds IoU constraints during the training phase to provide higher-quality initial object queries for the decoder, significantly improving the decoding performance. Additionally, the OptiDETR model integrates SW-Block into the DETR decoder, leveraging the advantages of Swin Transformer in global context modeling and feature representation to further enhance the performance and efficiency of object detection. To tackle the problem of small object detection, this study innovatively employs the SAHI algorithm for data augmentation. Through a series of experiments, It achieved a significant performance improvement of more than two percentage points in the mAP (mean Average Precision) metric compared to current mainstream object detection models. Furthermore, ther
The COVID-19 pandemic has had an unprecedented and widespread impact on education, significantly affecting students worldwide. Although many studies have investigated this impact in the last 5 years, we still lack emp...
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In this paper, we examine the cybersecurity vulnerability assessment method of medical software. Medical software processes patient sensitive data and is linked to various medical devices and systems in real time. Due...
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Cloud-native technologies have been widely adopted, enabling organizations to build scalable, observable, resilient, and secure software systems within cloud environments. However, the rapid evolution of these technol...
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software effort estimation is a vital component of project management, encompassing the prediction of time, cost, and resources necessary for software development. Accurate effort estimation plays a pivotal role in ef...
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software quality enhancement can be done by identifying the refactoring scope of the existing open-source projects in real time. The refactoring mechanism alters the internal structure of the code base without changin...
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There is a growing interest in sustainable ecosystem development, which includes methods such as scientific modeling, environmental assessment, and development forecasting and planning. However, due to insufficient su...
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All machine learning procedures consume a mathematical foundation. The aforementioned is applicable to Deep Learning, Optimization, and any additional Statistics science processes since Deep Knowledge is a subset of M...
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This contribution delves into the incorporation of Sustainable Development Goals (SDGs) into the computerengineering curriculum. The study addresses challenges associated with integrating SDGs as cross-cutting conten...
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This paper develops a Smart Public Transportation System using RFID technology, IoT integration, and a MERN-based web application for increasing the efficiency, accessibility, and user experience of urban transit syst...
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