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
Dataset for classification of forming tool types for aircraft parts based on neural network models using CAD. [PDF]
DongGyu L +5 more
europepmc +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
Leveraging artificial intelligence in bioacoustics for animal health monitoring and early diagnosis in veterinary medicine. [PDF]
Rideout H, Whetton AD.
europepmc +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
Superior resilience to poisoning and amenability to unlearning in quantum machine learning. [PDF]
Chen YQ, Zhang SX.
europepmc +1 more source
ABSTRACT This theoretical paper examines why we make claims like “cooking is chemistry,” what these claims mean, and what good or harm they accomplish. We make three interrelated arguments: First, the relationship between scientific and everyday practices is more complicated and less obvious than is often claimed; second, educators and scientists link ...
Noah Weeth Feinstein, Ryan L. Stowe
wiley +1 more source
CycloPepper: a machine learning platform for predicting cyclization outcomes and optimizing synthesis of therapeutic cyclopeptides. [PDF]
Pan Y, Hu C, Li J, Wan F, Hong X, Li C.
europepmc +1 more source
ABSTRACT Regulations and the collective influence of the value chain compel business‐to‐business (B2B) actors within the nonwoven (NW) manufacturing industry to drive sustainable development. However, the literature rarely addresses how B2B actors aim to align with sustainable development to co‐create value and what challenges they face.
Virpi Rämö +3 more
wiley +1 more source
Unveiling key descriptors <i>via</i> machine learning: toward rational molecular design of chromophores with excited-state intramolecular proton transfer. [PDF]
Wei S +7 more
europepmc +1 more source

