Results 41 to 50 of about 3,766 (244)
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
A Reinforcement Learning Based Smart Cache Strategy for Cache-Aided Ultra-Dense Network
The integration of caching and ultra-dense network (UDN) can not only improve the efficiency of content retrieval by reducing duplicate content transmissions but also improve the network throughput and system energy efficiency (EE) of the UDN.
Wei Li +5 more
doaj +1 more source
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
Design of Multi-Armed Bandit-Based Routing for in-Network Caching
This paper proposes a multi-armed bandit-based routing method for in-network cache-enabled networks. In-network caching enables intermediate routers to store contents in their cache, which is adopted in new networking paradigms such as Information ...
Gen Tabei +3 more
doaj +1 more source
Discriminator‐Guided Inverse Folding for Multi‐Property Protein Design
Discriminator‐Guided Inverse Folding (DGIF) integrates multiple property predictors trained from single‐property datasets to guide protein sequence generation from a backbone structure. DGIF enables simultaneous improvement of thermostability and solubility without requiring multi‐property annotated datasets and generates designs that move toward the ...
Yuchuan Zheng +7 more
wiley +1 more source
Will video caching remain energy efficient in future core optical networks?
Optical networks are expected to cater for the future Internet due to the high speed and capacity that they offer. Caching in the core network has proven to reduce power usage for various video services in current optical networks.
Niemah Izzeldin Osman
doaj +1 more source
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio +6 more
wiley +1 more source
Analysis of Similarity Caching on General Cache Networks
Nowadays, content caching is essential to serve contents to users quickly and efficiently. In recent years, a technique to improve content caching, similarity caching, which focuses on the similarity among contents, has emerged. The feature of similarity caching is that a cache provides any content similar to a user’s request even though the ...
Ryo Nakamura, Noriaki Kamiyama
openaire +2 more sources
Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu +5 more
wiley +1 more source
A Lightweight Caching Decision Strategy Based on Node Edge-Degree for Information Centric Networking
In-networkcaching as a core function in ICN can greatly improve the content distribution efficiency and reduce redundant network traffic. It is a challenge to design caching strategies in ICN to improve the performance of in-network caching.
Qifeng Yang +2 more
doaj +1 more source

