Results 41 to 50 of about 3,421 (264)
Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices [PDF]
Named Data Networking (NDN) has emerged as a promising network architecture for content delivery in edge infrastructures, primarily due to its name-based routing and integrated in-network caching.
Firdous Qaiser +3 more
doaj +2 more sources
A cache engine for e-content integration [PDF]
Content-integration systems generally suffer performance bottlenecks due to network overhead. To address this problem, the authors developed the Data Integration Cache Engine (DICE), which uses summarization techniques (subqueries and Bloom filters) and semantic metadata to achieve semantic active caching in the context of Internet-based data ...
Peter Triantafillou +2 more
openaire +2 more sources
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
Intent Arabic text categorisation based on different machine learning and term frequency
Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi +1 more
wiley +1 more source
Gain-aware caching scheme for information-centric networking
The in-network caching system of information-centric networking had to deal with the popularity of huge number of content chunks and make efficient usage of storage resources.A content popularity based caching gain opti-mization model aimed to get ...
Long CHEN +4 more
doaj +2 more sources
Cooperative Content Caching Framework Using Cuckoo Search Optimization in Vehicular Edge Networks
Vehicular edge networks (VENs) connect vehicles to share data and infotainment content collaboratively to improve network performance. Due to technological advancements, data growth is accelerating, making it difficult to always connect mobile devices ...
Sardar Khaliq uz Zaman +8 more
doaj +1 more source
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Design and implementation of geographic information system with mobile terminal and 5G network
Abstract Remote insurance mainly completes quotation, insurance application and payment through the PC terminal and mobile terminal, and the premium directly enters the insurance account. This article takes remote insurance as an example. First, it analyses the requirements of the remote insurance and insurance system, and then collects data from the ...
Huijun Xiao, Tangsen Huang, Ensong Jiang
wiley +1 more source
Robust Caching Control in Crowdsourced Content-Centric Mobile Networking
As the global mobile data traffic grows dramatically in recent years, mobile services are shifting from connection-centric communications to content-centric communications.
Chengming Li +5 more
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source

