Results 251 to 260 of about 80,893 (323)

A Survey on Fog Computing Security Issues and Challenges [PDF]

, 2017
P Kavita, B Vinayak, B Pranav, Neha N.P
openalex  

Fog Computing Based Signature Verification: A Scenario-Based Approach

, 2018
Erdal Erdal
openalex   +2 more sources

Sub‐Unit‐Cell Logic Governs Transport in TPMS Architectures

Advanced Science, EarlyView.
ABSTRACT Next‐generation energy, thermal, and chemical systems require architectures capable of highly efficient transport across multiple length scales. Triply periodic minimal surfaces (TPMS), first conceptualized in 1865, offer inherently scalable geometries with exceptional transport potential, yet mechanistic links between topology and performance
Haozhang Zhong, Yipei He, Jiaxuan Wang, Chenyi Qian, Gerd E Schröder‐Turk, Raj Das, Junye Shi, Qi Tang, Zheda Ning, Wenjue Yi, Chuanwei Li, Jiangping Chen, Zeyao Chen, Binbin Yu, Jian LU, Jianfeng Gu, Ma Qian   +16 more
wiley   +1 more source

Hybrid Prairie Dog and Dwarf Mongoose optimization algorithm-based application placement and resource scheduling technique for fog computing environment. [PDF]

Sci Rep
Baskar R, Mohanraj E, Saradha M, Monika R.   +3 more
europepmc   +1 more source

Fog-IoPM: Fog computing for Internet of Plants data management

Yassine Boukhali, Mohammed Nabil Kabbaj, Mohammed Benbrahim   +2 more
openalex   +1 more source

A Rational Optimization Approach for the Development of a Multiplexed Lateral Flow Immunoassay: Detection of Nonepithelial Ovarian Cancer Markers in Human Serum

Advanced Science, EarlyView.
This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed, Carl E. Eskildsen, Luca Panariello, André Shamsabadi, Christy J. Sadler, Edmund H. Wilkes, Federico Galvanin, Yuxi Cheng, Sara Carvalho, Srdjan Saso, Molly M. Stevens   +10 more
wiley   +1 more source

Task scheduling in fog computing systems using deep learning

ZhongYI Huang
openalex   +1 more source

Routing Strategy for Internet of Vehicles based on Hierarchical SDN and Fog Computing

, 2018
Ahmed Jawad Kadhim, Seyed Amin Hosseini Seno, Rana Ali Shihab   +2 more
openalex   +2 more sources

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Optimizing storage on fog computing edge servers: A recent algorithm design with minimal interference. [PDF]

PLoS One
Zhao X, Xie G, Luo Y, Chen J, Liu F, Bai H.   +5 more
europepmc   +1 more source