Results 131 to 140 of about 1,839,560 (291)
Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks
ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth +4 more
wiley +1 more source
Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel +2 more
wiley +1 more source
As early as 1949, Weaver defined communication in a very broad sense to include all procedures by which one mind or technical system can influence another, thus establishing the idea of semantic communication.
Edgar Beck +7 more
doaj +1 more source
Multiple Access Design for Joint Semantic and Classical Communications
This chapter investigates the multiple access design for joint semantic and classic bit-oriented communications. For the resulting heterogeneous semantic and bit multiuser network, we discuss both orthogonal multiple access (OMA) and non-orthogonal ...
Mu, Xidong; id_orcid, Liu, Yuanwei
core +1 more source
SMTC Configuration and Window Adjustment Strategies for Beam Hopping in NR‐NTN
ABSTRACT Beam hopping is an effective transmission strategy for nonterrestrial networks (NTNs), enabling satellites to allocate limited power and spectrum resources across different geographical regions over time. However, in NR‐based NTN systems, beam hopping complicates synchronization monitoring because synchronization signal block (SSB) arrivals ...
Hee Wook Kim, Kyungrak Lee, Joon Gyu Ryu
wiley +1 more source
ABSTRACT The Sustainable Development Goals (SDGs) are unlikely to be achieved by 2030, prompting debate about what should follow. Beyond revision, there is a need to critically examine what values and assumptions have shaped how the SDGs are conceptualised and operationalised.
Gin Dupont +7 more
wiley +1 more source
Significance of Semantic Web in Facilitating HCI in Mobile and Ubiquitous Learning
Mobile devices are being widely used in education for many purposes such as an instruction tool for learning. However, mobile devices suffer from the limitation of capabilities and resources.
Davis, Hugh, Aljohani, Naif
core +1 more source
ABSTRACT While upcycling clothing reflects environmental value (i.e., greenness) and distinctive designs (i.e., uniqueness), consumer responses to upcycled clothing designs remain underexplored. Drawing on categorization, cue utilization, and domain distance theories, two experimental studies were conducted with US female aged 18–45.
Hyesim Seo +3 more
wiley +1 more source
Embedding Climate Action: Policy Integration and Semantic Coherence in Ireland's SDGs Policy Mix
ABSTRACT Achieving the EU's 2050 target of climate neutrality requires embedding climate action (SDG13) within national sustainable development strategies. While inter‐governmental coordination and policy linkages are central to policy integration and coherence, existing studies rarely examine them in tandem.
Paul M. Wagner +2 more
wiley +1 more source
Autoencoder based image quality metric for modelling semantic noise in semantic communications
Semantic communication has attracted significant attention as a key technology for emerging 6G communications. This paper proposes an autoencoder based image quality metric to quantify the semantic noise.
Prabath Samarathunga +4 more
doaj +1 more source

