Titlebook: Digital Ecosystems: Interconnecting Advanced Networks with AI Applications; Andriy Luntovskyy,Mikhailo Klymash,Alexander Schil Conference

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RENAL

有權(quán)威

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 to

FRAX-tool

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 applicat

Tinea-Capitis

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 detect

Consequence

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-r

Consequence

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 perform

Custodian

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

設想

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