Results 151 to 160 of about 3,766,810 (246)
Joint Task Offloading and Resource Allocation with Data Caching in UAV-Aided Mobile Edge Computing Networks for Latency-Sensitive Applications. [PDF]
Baidya T, Moh S.
europepmc +1 more source
DRL-OS: A Deep Reinforcement Learning-Based Offloading Scheduler in Mobile Edge Computing. [PDF]
Lim D, Lee W, Kim WT, Joe I.
europepmc +1 more source
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao +6 more
wiley +1 more source
AI-embedded IoT healthcare optimization with trust-aware mobile edge computing. [PDF]
Alamri M +3 more
europepmc +1 more source
Path Planning and Formation Control for UAV-Enabled Mobile Edge Computing Network. [PDF]
Choutri K +3 more
europepmc +1 more source
This Perspective highlights atom probe tomography as a powerful tool for understanding the atomic‐scale defect chemistry in HfO2‐based ferroelectrics. 3D mapping of dopants, point defects, and interface chemistry can provide new insight into defect‐driven mechanisms underpinning the ferroelectricity in the system and guide the design of more reliable ...
Kasper Hunnestad +3 more
wiley +1 more source
Fuzzy based priority aware task scheduling optimization for mobile edge computing environments. [PDF]
Lin P.
europepmc +1 more source
Task Offloading Strategy Based on Mobile Edge Computing in UAV Network. [PDF]
Qi W, Sun H, Yu L, Xiao S, Jiang H.
europepmc +1 more source
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park +12 more
wiley +1 more source
Adaptive and intelligent customized deep Q-network for energy-efficient task offloading in mobile edge computing environments. [PDF]
Anand J, Karthikeyan B.
europepmc +1 more source

