How Pandemics Have Reshaped the Respiratory Virus Data Landscape in Europe: Scoping Review. [PDF]
Mastrovito B +3 more
europepmc +1 more source
Resource-aware knowledge discovery in data streams
Mining data streams has raised a number of research challenges for the data mining community. These challenges include the limitations of computational resources, especially because mining streams of data most likely be done on a mobile device with ...
Gaber, Mohamed Medhat +2 more
core +1 more source
Prediction of Prefecture-Level Subjective Well-Being in Japan by Using Google Trends and Socioeconomic Data: Machine Learning Model Development and Validation Study. [PDF]
Kishi K, Hayashi H, Koshimizu S.
europepmc +1 more source
Event detection via graph convolutional networks for multi-source multimodal integration. [PDF]
Fan Q, Xu G, Wang Y, Wu M.
europepmc +1 more source
AI-Driven Approaches for the Detection, Classification, and Surveillance of Viral Pathogens: Current Advances, Challenges, and Future Directions. [PDF]
Khelil H, Palumbo R, Roviello GN.
europepmc +1 more source
Screen Detection from Egocentric Image Streams Leveraging Multi-View Vision Language Model. [PDF]
Li X +9 more
europepmc +1 more source
Nontraditional Data in Pandemic Preparedness and Response: Identifying and Addressing First- and Last-Mile Challenges. [PDF]
Mazzoli M +12 more
europepmc +1 more source
Multimodal transformer-based watermarking for deepfake detection and digital media authentication: current progress, challenges, and future directions. [PDF]
Sim KS, Islam MT.
europepmc +1 more source
Performance of 5 Large Language Models in Perioperative Consultation for Pediatric Hypospadias: Cross-Sectional Comparative Study. [PDF]
Kang T, Yuan C, Hu X, Huang W.
europepmc +1 more source
Multi-stream adaptive offloading scheme based on mobile edge computing
The transmission and analysis of massive video streams require significant edge bandwidth and computational resources, posing severe challenges to the current multimedia frameworks based on mobile edge computing (MEC).
HU Dieli, YANG Zheming, JI Wen
doaj

