Results 201 to 210 of about 743,281 (307)

A Power-of-Two Choices Based Algorithm for Fog Computing [PDF]

, 2018
Roberto Beraldi, Hussein Alnuweiri, Abderrahmen Mtibaa   +2 more
openalex   +1 more source

Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting

Advanced Science, EarlyView.
A high‐throughput droplet‐based cellular bioprinting platform enhanced with machine learning optimizes five key printing parameters—bioink viscosity, nozzle size, printing time, printing pressure, and cell concentration—to enable accurate prediction of droplet size.
Jaemyung Shin, Ryan Kang, Kinam Hyun, Zhangkang Li, Hitendra Kumar, Kangsoo Kim, Simon S. Park, Keekyoung Kim   +7 more
wiley   +1 more source

Machine Learning-Based Resource Management in Fog Computing: A Systematic Literature Review. [PDF]

Sensors (Basel)
Khan FU, Shah IA, Jan S, Ahmad S, Whangbo T.   +4 more
europepmc   +1 more source

Energy Aware Load Balancing Framework for Smart Grid Using Cloud and Fog Computing. [PDF]

Sensors (Basel), 2023
Singhal S, Athithan S, Alomar MA, Kumar R, Sharma B, Srivastava G, Lin JC.   +6 more
europepmc   +1 more source

Multiscale Dissection of Spatial Heterogeneity by Integrating Multi‐Slice Spatial and Single‐Cell Transcriptomics

Advanced Science, Volume 12, Issue 15, April 17, 2025.
Integrating multiple spatial transcriptomics datasets can provide a more comprehensive understanding of tissue structure and cellular heterogeneity. However, batch effects between different slices as well as between spatial transcriptomics and single‐cell reference data bring a great challenge for the integrative analysis.
Yuqi Chen, Caiwei Zhen, Yuanyuan Mo, Juan Liu, Lihua Zhang   +4 more
wiley   +1 more source

Applications of Fog Computing in Healthcare. [PDF]

Cureus
Jeyaraman N, Jeyaraman M, Yadav S, Ramasubramanian S, Balaji S, Muthu S, Lekha P C, Patro BP.   +7 more
europepmc   +1 more source

Distributed Agent-Based Orchestrator Model for Fog Computing. [PDF]

Sensors (Basel), 2022
Liutkevičius A, Morkevičius N, Venčkauskas A, Toldinas J.   +3 more
europepmc   +1 more source

Efficient and Specific PDGFRβ‐Targeting Dual‐Mode T1‐T2 MRI Nanoprobe for Early Diagnosis of Non‐Alcoholic Fatty Liver

Advanced Science, EarlyView.
The Fe3O4/Gd@BSA‐pPB nanoprobe leverages biomimetic mineralization and targets hepatic stellate cells (HSCs) through PDGFRβ, offering superior enrichment in fibrotic regions. This targeted delivery overcomes biological barriers, enhancing both the accuracy and sensitivity of MRI imaging at early disease stages.
Zehua Li, Tongwei Zhang, Tongxiang Tao, Yaxuan Liu, Haining Xia, Sajid ur Rehman, Zeyong Guo, Jing Zhang, Ruiguo Chen, Zhan Zhang, Junfeng Wang, Kun Ma   +11 more
wiley   +1 more source

Dual level dengue diagnosis using lightweight multilayer perceptron with XAI in fog computing environment and rule based inference. [PDF]

Sci Rep
R D, T S PK.
europepmc   +1 more source

Retracted: Smart Healthcare System for Severity Prediction and Critical Tasks Management of COVID-19 Patients in IoT-Fog Computing Environments. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source