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Titlebook: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing ; Volume 17 Roger Lee Book 2024 The Editor(s)

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,Using Key Point Detection to Extract Three Dimensional Phenotypes of Corn, for complex equipment. To address these issues, we propose a novel key point detection deep learning model called V7POSE-GSConV, which operates on RGB-D data. This method is built upon the YOLOv7-POSE key point detection model, allowing us to directly capture key points of corn plants using RGB dat
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From Above and Beyond: Decoding Urban Aesthetics with the Visual Pollution Index,f pollution, often overshadowed environmental discussions, profoundly influences the aesthetic harmony and mental well-being of urban inhabitants. In this research, we present an innovative methodology to detect visual pollution using drone-captured imagery. Our distinctive dataset captures a spectr
发表于 2025-3-29 05:56:49 | 显示全部楼层
,Subcellular Protein Patterns Classification Using Extreme Gradient Boosting with Deep Transfer Leartheir structure, function and role in human body. Subcellular proteins provide the expression that characterizes the many proteins and their conditions across cell types. This work proposed a classification model for subcellular protein patterns using XGBoost with transfer learning of CNN as the fea
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Can a Large Language Model Generate Plausible Business Cases from Agent-Based Simulation Results?,on models to uncover complex socio-technical systems. However, to let ordinary business people understand the models and their consequences, conventional validation or visualization methods are not enough. We must explain the plausible results through cases with natural languages. In our previous st
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Digital Word-of-Mouth and Purchase Intention. An Empirical Study in Millennial Female and Consumers05), confirming that the purchase intention is explained by the actions of digital word-of-mouth. This work highlights the importance of managing the credibility and value of our electronic media, and within action plans adopting actions to improve the quality and quantity of comments as antecedents to purchase and repurchase intention.
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An Assessment of Fintech for Open Banking: Data Security and Privacy Strategies from the Perspectivtructs relevant to the model. Using a quantitative approach, this study will collect data through online survey questionnaires and employ the structural equation modelling technique to test the model. This study is expected to help develop appropriate policies to enhance the use of Fintech by consumers in the Australian banking sector.
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