The proceedings contain 265 papers. The topics discussed include: context-awareness-based intelligent recommendation method of tourism service resources;relational context learning for human-object interaction detecti...
ISBN:
(纸本)9798400710094
The proceedings contain 265 papers. The topics discussed include: context-awareness-based intelligent recommendation method of tourism service resources;relational context learning for human-object interaction detection;arbitrary style migration of images based on channel and spatial attention;a deep model of futures contracts based on multi contract collaborative prediction;interpretable grade prediction based on ECOC and Shapley theory;visualization analysis of online education based on Vue framework;visualizing and analyzing the impact of Chinese forests on the environment using a knowledge graph;research and application of distributed wire-free voice gateway access;and research on secure printing methods for files across internal and external networks of enterprises.
Monitoring chlorophyll content is essential for assessing plant health and detecting early stress, yet traditional methods are often labor-intensive and prone to inaccuracies. An automated system utilizing the NDRE in...
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It is quite an uphill task to identify social network communities as well as to diffuse impact because of their complex architecture as well as evolving nature of their relationships. In this paper, we present an adva...
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Today, all countries have a socio-economic concern about the healthcare services. advanced healthcare systems leverage technology, such as the Internet of Things (IoT), to enhance quality and reduce costs. IoT integra...
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This paper describes the newly developed enhanced wearable protection system specifically developed to help protect the lives of coal miners by constantly assessing essential environmental/Fitness parameters. This adv...
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The development of a question-answer chatbot involves leveraging advanced embedding techniques to optimize language understanding and response generation. The process begins with curating a diverse dataset of question...
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The source of uncertainty in software architecture isn't impossible to predict, but it is certainly challenging given its inherent complexity and the dynamic environments of technology, external factors and events...
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ISBN:
(纸本)9783031752001;9783031752018
The source of uncertainty in software architecture isn't impossible to predict, but it is certainly challenging given its inherent complexity and the dynamic environments of technology, external factors and events that can potentially impact the system's operation and stability. Residuality theory, in particular, provides a new ideology that challenges conventional approaches to software design. In this paper, we propose a Residual Dynamic Management (RDM) framework for software architecture to manage residual components and stressors that constitute a residual system. RDM ensures that the system not only remains robust and capable of thriving but also flourishes in the face of uncertainty, dynamic changes, and unpredictable conditions. Furthermore, we propose a model called Residual Finite State Machines (R-FSM) to incorporate residuality complexity into software architecture, enhancing the overall system's ability to manage unforeseen changes and effectively benefit from them through the concept of antifragility.
In recent years, there has been an increasing interest in developing in vitro models that predict the behavior of cells in living organisms. Mathematical models based on differential equations, and related numerical a...
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Flood image segmentation has a significant role in disaster management since it can spot and accurately predict flooded regions from aerial and satellite imagery. UAVs have proven to be invaluable tools, which provide...
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Aiming at the problem of disconnection that may occur during the communication between the submersible and the host ship due to the complex marine environment, this paper investigates the position prediction model of ...
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