实体 发表于 2025-3-21 18:08:46
书目名称Digital Ecosystems: Interconnecting Advanced Networks with AI Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0284716<br><br> <br><br>书目名称Digital Ecosystems: Interconnecting Advanced Networks with AI Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0284716<br><br> <br><br>书目名称Digital Ecosystems: Interconnecting Advanced Networks with AI Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0284716<br><br> <br><br>书目名称Digital Ecosystems: Interconnecting Advanced Networks with AI Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0284716<br><br> <br><br>书目名称Digital Ecosystems: Interconnecting Advanced Networks with AI Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0284716<br><br> <br><br>书目名称Digital Ecosystems: Interconnecting Advanced Networks with AI Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0284716<br><br> <br><br>书目名称Digital Ecosystems: Interconnecting Advanced Networks with AI Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0284716<br><br> <br><br>书目名称Digital Ecosystems: Interconnecting Advanced Networks with AI Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0284716<br><br> <br><br>书目名称Digital Ecosystems: Interconnecting Advanced Networks with AI Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0284716<br><br> <br><br>书目名称Digital Ecosystems: Interconnecting Advanced Networks with AI Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0284716<br><br> <br><br>RENAL 发表于 2025-3-22 00:00:22
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Generative AI-Language Models in Didactics and Communication for Inclusiveness,ionally. People who experience disabilities encounter far greater barriers in everyday life than people without disabilities. Large language models could break down language barriers in the future and also be an additional driver for inclusion since they enable people who experience disabilities toFRAX-tool 发表于 2025-3-22 04:54:13
How AI Meets Networking and Networks Meet AI Applications,l Ecosystems, with a focus on interconnecting both under improving user Quality of Experience (QoE). The work provides an analysis of current opportunities, challenges, and case studies and examines ongoing models and algorithms for future Digital Ecosystems: architectures, platforms, smart applicatTinea-Capitis 发表于 2025-3-22 11:35:06
A Survey of Deep Learning for Remote Sensing, Earth Intelligence and Decision Making,architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and graph neural networks, and their utilization in tasks such as land cover mapping, object detection, image segmentation, time series analysis, and change detectConsequence 发表于 2025-3-22 16:33:28
Intelligent Hierarchical Coordination Fault-Tolerant Routing Method Under End-to-End Quality of Sern softwarized networks with multidomain architecture. The method aims at QoS ensuring under bandwidth and average end-to-end packet delay. It protects the inter-domain router while calculating the primary and backup paths. The essence of the intelligent hierarchical-coordination fault-tolerant QoS-rConsequence 发表于 2025-3-22 18:25:18
Peculiarities of Classification of Lossy Compressed Multichannel Remote Sensing Images Using Traineoblems in their transfer and storage and leads to the necessity to apply compression where lossy compression is mainly used. The compressed images can be then processed in different ways where classification is a typical operation for which trained neural networks are widely used. Classifier performCustodian 发表于 2025-3-22 22:24:48
Reducing the Impact of Unstable Connections Among Nodes of Wireless IIoT Clusters Using Machine Leaavailability and scalability. However, designing and implementing distributed algorithms is a complex task that poses significant challenges. For example, an IoT cluster of sensors for environmental monitoring can utilize a consensus algorithm. In this scenario, multiple sensor nodes are deployed in抵制 发表于 2025-3-23 03:27:52
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The Energy Transition in Germany Requires an AI-Supported Dynamic Control of the Power Supply Netwoion problems in Germany. In addition, real examples based on the authors’ own experiences with energy-efficient Smart Home were conducted. The focus has been shifted to the requirements for modern power grids due to the volatility of renewable energies. Furthermore, the discussion of dynamic network