An autonomous driving system requires efficient image recognition to interpret the environment, detect obstacles, and make real-time decisions. This study compares Convolutional Neural Networks (CNNs) and Vision Trans...
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The problem of marine litter is becoming more and more serious, which poses a great threat to the marine ecological environment. The research of marine litter identification and classification problem is imminent, and...
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The command and resource scheduling capabilities of the airport serve as crucial support for rapid take-off and landing, as well as efficient aircraft operations, the future intelligent airport scheduling poses new re...
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RGBT tracking is an important research direction in the field of computer vision and has received increasing attention. It aims to exploit the complementary advantages between RGB and TIR modalities to achieve robust ...
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For tourism recommendation system, users’ behavior preference and service demand may change with the different context they are in, especially with the season, weather, geographical location and user attributes. Tour...
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This paper presents BC-SBOM, a novel blockchainbased system designed to enhance the management of Software Bills of Materials (SBOMs). By leveraging blockchain technology, BC-SBOM ensures secure storage and sharing of...
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ISBN:
(纸本)9791188428137
This paper presents BC-SBOM, a novel blockchainbased system designed to enhance the management of Software Bills of Materials (SBOMs). By leveraging blockchain technology, BC-SBOM ensures secure storage and sharing of SBOMs, while providing a comprehensive global view of dependencies among software components. The system also supports rapid propagation of alerts for newly discovered vulnerabilities, thereby increasing responsiveness to potential threats. Offering superior reliability, transparency, and availability compared to traditional SBOM tools, BC-SBOM aims to significantly improve the management of complex software systems and contribute to the advancement of software security practices. Copyright 2025 Global IT Research Institute (GIRI). All rights reserved.
This paper presents a novel approach for air pollution monitoring using Photonic Crystal Fiber (PCF) with unique optical properties. Through Finite Element Method (FEM) simulations in COMSOL, the study explores how th...
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Text categorization is a crucial task in natural language *** recent years, deep learn- ing methodologies, particularly Recurrent Neural Networks (RNN) and Convolutional Neural Net- works (CNN), have made significant ...
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This study presents a novel translational method for suicide prevention research, employing customizable virtual reality (VR) simulations that mimic real-life situations. We aim to validate the usability of these VR s...
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Early brain stroke detection is essential for improved results and prompt treatments. Standared techniques work suggests a novel method for machine learning that makes use of CT or MRI scans images. In orderly to trai...
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