Results 91 to 100 of about 7,650,707 (279)
Learning a Hybrid Proactive and Reactive Caching Policy in Wireless Edge Under Dynamic Popularity
Caching at wireless edge is a promising way to satisfy the explosively increasing mobile data demands, if future content popularity is known in advance.
Kaiqiang Qi +2 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
An Efficient Cache Strategy in Information Centric Networking Vehicle-to-Vehicle Scenario
Information centric networking (ICN) has been recently proposed as a prominent solution for content delivery in vehicular ad hoc networks. By caching the data packets in vehicular unused storage space, vehicles can obtain the replicate of contents from ...
Weicheng Zhao +4 more
doaj +1 more source
Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang +14 more
wiley +1 more source
From popularity prediction to ranking online news
International audienceNews articles are an engaging type of online content that captures the attention of a significant amount of Internet users. They are particularly enjoyed by mobile users and massively spread through online social platforms.
Tatar, Alexandru +7 more
core +1 more source
DeepMEC: Mobile Edge Caching Using Deep Learning
Caching popular contents at edge nodes such as base stations is a crucial solution for improving users' quality of services in next-generation networks.
Kyi Thar +3 more
doaj +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features
Predicting the popularity of online article sheds light to many applications such as recommendation, advertising and information retrieval. However, there are several technical challenges to be addressed for developing the best of predictive capability. (
Li, Gongfu +5 more
core +1 more source
TSL:predicting popularity of Facebook content based on tie strength
The rapid development of online social networks leads to an explosion of information,however,there are great differences in the popularity of different messages,and accurate prediction is always a great difficulty is the current study.Popularity ...
Xiaomeng WANG +3 more
doaj +2 more sources
Advanced Materials for Biologics Delivery to Brain Tumors
Material innovation is central to unlocking the therapeutic potential of biologics against many central nervous system diseases, including brain cancer. By engineering carriers with controlled transport, targeting, and release properties, advanced materials can overcome the blood–brain barrier and tumor microenvironment, improving the delivery of ...
Yuran Feng +4 more
wiley +1 more source

