Results 221 to 230 of about 76,821 (307)
ENVIRAN: Energy efficient virtual radio access networks
Adrian Popescu +6 more
openalex +1 more source
This review introduces the concept of “general curvy surface reconstruction,” which incorporates both geometric and physical dimensions, representing an upgrade over conventional geometric reconstruction that focuses solely on spatial relationships. Particular emphasis is placed on the emerging opportunities enabled by advanced measurement techniques ...
Chen Shang +8 more
wiley +1 more source
Maintaining Cyber Resilience in the Reconfigurable Networks with Immunization and Improved Network Game Methods. [PDF]
Kalinin M +3 more
europepmc +1 more source
Design of an Innovative Business Model for Mobile Virtual Network Operators
Miroslav Špaček, Emil Vacík
openalex +2 more sources
GPCRs in CAR‐T Cell Immunotherapy: Expanding the Target Landscape and Enhancing Therapeutic Efficacy
Chimeric antigen receptor T cell therapy faces dual challenges of target scarcity and an immunosuppressive microenvironment in solid tumors. This review highlights how G protein‐coupled receptors can serve as both novel targets to expand the therapeutic scope and functional modules to enhance CAR‐T cell efficacy.
Zhuoqun Liu +11 more
wiley +1 more source
Delay guaranteed SFC placement with VNF parallelization in multidomain IoT networks. [PDF]
Liu S +5 more
europepmc +1 more source
Compact Optical Reservoir Computing via Luminescence Dynamics in Rare‐Earth Ions‐Doped Nanocrystals
A functionally compact optical reservoir computing platform is demonstrated using rare‐earth ion‐doped nanocrystals, whose intrinsic nonlinear luminescence dynamics and multi‐timescale metastable states provide nonlinear mapping and fading memory without bulky delays or resonant structures.
Junyan Chen +7 more
wiley +1 more source
A Graph Convolutional Network-Based Fine-Grained Low-Latency Service Slicing Algorithm for 6G Networks. [PDF]
Ye Y, Zhang C, Wu C, Zhu X.
europepmc +1 more source
Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan +17 more
wiley +1 more source

