In this work, we present a method to enhance image contrast using a fuzzy logic-based transformation function. Our goal is to develop an image-specific transformation by tuning the fuzzy system. We employ Hill Climbin...
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Blindness results from various conditions causing vision loss, impacting mobility. To address this, a specialized assistive technology using Raspberry Pi 4 Model B, camera, sensor, and speaker is designed. It assists ...
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With the emergence of large-scale language models (LLM), the powerful capabilities of LLM in natural language processing have attracted attention. Based on programming language LLM (Programming Language Model, PLM), w...
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ISBN:
(纸本)9798350371000;9798350370997
With the emergence of large-scale language models (LLM), the powerful capabilities of LLM in natural language processing have attracted attention. Based on programming language LLM (Programming Language Model, PLM), we use prompt templates to explore its potential in the field of automatic vulnerability repair, and combine it with a special workflow to improve its efficiency in automatic vulnerability repair tasks. Specifically, we design four prompt templates for handling vulnerable code, and design an iterative reasoning method to improve the efficiency of vulnerability fixing. We selected multiple typical LLMs for evaluation on multiple data sets. The results show that reasonable prompt templates can effectively improve the efficiency of automatic vulnerability repair, which is significantly improved compared with neural machine translation technology. In addition, we also discussed previous bug fixing related work and our work, and pointed out some of our shortcomings and directions for future improvements.
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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Around the research questions of this paper, the main theories involved in this paper are analysed, including the relevant concepts of smart cities, systems science theory, urban systems theory, urban planning theory ...
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The modern times have led to the adoption of distinctive meta-heuristic procedures for solving distinct class of optimization-problems. The meta-heuristics procedures have benefit above conventional algorithms because...
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Advancements in multimodal learning have experienced rapid growth over the past decade, particularly within various domains, with a significant emphasis on developments in computer vision. Multimodal data fusion has b...
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An Early Warning System (EWS) is an integrated system that disseminates early warning information to lessen a natural catastrophe's impact, facilitating preparedness and reaction processes. To reduce the likelihoo...
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We demonstrate an image processing algorithm for fast measuring waveguide chip dimensions during the optical lithography processing as an assistant tool for adjusting the fabrication parameters and improving the yield...
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Smart street light solution utilizing Long Range Wide Area Network (LoRaWAN) is one of the highly interesting topics in the field of Internet of Things (IoT) automation engineering. It is seen that many prototypes and...
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